{
  "schema_version": 1,
  "generated_from": "data/history/",
  "source": "https://is.kluuz.de/pricing-changes",
  "currency": "USD",
  "unit": "per_1m_tokens",
  "tracking_since": "2026-08-28",
  "verifications": [
    {
      "date": "2026-08-28",
      "models": 38
    },
    {
      "date": "2026-08-29",
      "models": 97
    },
    {
      "date": "2026-08-30T1321Z",
      "models": 160
    },
    {
      "date": "2026-08-30T1934Z",
      "models": 317
    },
    {
      "date": "2026-08-30",
      "models": 317
    }
  ],
  "changes": [
    {
      "date": "2026-08-30",
      "compared_to": "2026-08-30T1934Z",
      "price_changes": [
        {
          "model": "deepseek/deepseek-v4-flash",
          "name": "DeepSeek V4 Flash",
          "input": {
            "before": 0.22,
            "after": 0.44,
            "pct": 100
          },
          "output": {
            "before": 0.66,
            "after": 1.32,
            "pct": 100
          },
          "cache_read": {
            "before": 0.007,
            "after": 0.014,
            "pct": 100
          },
          "kind": "correction",
          "reason": "Same correction as deepseek-v4-pro: the off-peak rate was recorded as the headline price, and the standard tier is the peak rate. DeepSeek's price did not change."
        },
        {
          "model": "deepseek/deepseek-v4-flash-vision-exp",
          "name": "DeepSeek V4 Flash Vision (Exp)",
          "input": {
            "before": 0.22,
            "after": 0.44,
            "pct": 100
          },
          "output": {
            "before": 0.66,
            "after": 1.32,
            "pct": 100
          },
          "cache_read": {
            "before": 0.007,
            "after": 0.014,
            "pct": 100
          },
          "kind": "correction",
          "reason": "Same correction as deepseek-v4-pro: the off-peak rate was recorded as the headline price, and the standard tier is the peak rate. DeepSeek's price did not change."
        },
        {
          "model": "deepseek/deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": {
            "before": 0.66,
            "after": 1.32,
            "pct": 100
          },
          "output": {
            "before": 1.98,
            "after": 3.96,
            "pct": 100
          },
          "cache_read": {
            "before": 0.022,
            "after": 0.044,
            "pct": 100
          },
          "kind": "correction",
          "reason": "We had recorded DeepSeek's off-peak rate as the headline price. This dataset's standard tier excludes time-of-day discounts, exactly as it excludes batch and cached-input discounts, so the peak (standard) rate is the correct headline and the off-peak half-price belongs in the note. DeepSeek's price did not change."
        }
      ],
      "added": [],
      "removed": []
    },
    {
      "date": "2026-08-30T1934Z",
      "compared_to": "2026-08-30T1321Z",
      "price_changes": [
        {
          "model": "sambanova/sambanova-gemma-4-31b",
          "name": "gemma-4-31B-it",
          "input": {
            "before": 0.22,
            "after": 0.38,
            "pct": 72.7
          },
          "output": {
            "before": 0.59,
            "after": 1.15,
            "pct": 94.9
          }
        },
        {
          "model": "sambanova/sambanova-minimax-m2-7",
          "name": "MiniMax-M2.7",
          "input": {
            "before": 0.6,
            "after": 0.6,
            "pct": 0
          },
          "output": {
            "before": 2.4,
            "after": 2.4,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.06,
            "pct": null
          }
        }
      ],
      "added": [
        {
          "model": "azure-openai/azure-openai-gpt-4-1",
          "name": "GPT-4.1-2025-04-14",
          "input": 2,
          "output": 8
        },
        {
          "model": "azure-openai/azure-openai-gpt-4-1-mini",
          "name": "GPT-4.1-mini-2025-04-14",
          "input": 0.4,
          "output": 1.6
        },
        {
          "model": "azure-openai/azure-openai-gpt-4-1-nano",
          "name": "GPT-4.1-nano-2025-04-14",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "azure-openai/azure-openai-gpt-4-5-preview",
          "name": "GPT-4.5-Preview-2025-02-27",
          "input": 75,
          "output": 150
        },
        {
          "model": "azure-openai/azure-openai-gpt-4o-2024-05-13",
          "name": "GPT-4o-2024-0513",
          "input": 5,
          "output": 15
        },
        {
          "model": "azure-openai/azure-openai-gpt-4o-2024-08-06",
          "name": "GPT-4o-2024-08-06",
          "input": 2.5,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-4o-2024-11-20",
          "name": "GPT-4o-2024-1120",
          "input": 2.5,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-4o-mini",
          "name": "GPT-4o-mini-0718",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "azure-openai/azure-openai-gpt-5",
          "name": "GPT-5 (2025-08-07)",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-1",
          "name": "GPT-5.1",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-1-chat",
          "name": "GPT-5.1-chat",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-1-codex",
          "name": "GPT-5.1-codex",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-1-codex-max",
          "name": "GPT-5.1-codex-max",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-1-codex-mini",
          "name": "GPT-5.1-codex-mini",
          "input": 0.25,
          "output": 2
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-2",
          "name": "GPT-5.2",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-2-chat-latest",
          "name": "GPT-5.2-chat latest",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-2-codex",
          "name": "GPT-5.2 Codex",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-3-chat",
          "name": "GPT-5.3 Chat",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-3-codex",
          "name": "GPT-5.3 Codex",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-long-context",
          "name": "GPT-5.4 (>272k context length)",
          "input": 5,
          "output": 22.5
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-mini",
          "name": "GPT-5.4 mini",
          "input": 0.75,
          "output": 4.5
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-nano",
          "name": "GPT-5.4 nano",
          "input": 0.2,
          "output": 1.25
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-pro-long-context",
          "name": "GPT-5.4 Pro (>272k context length)",
          "input": 60,
          "output": 270
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-pro-short-context",
          "name": "GPT-5.4 Pro (<272k context length)",
          "input": 30,
          "output": 180
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-4-short-context",
          "name": "GPT-5.4 (<272k context length)",
          "input": 2.5,
          "output": 15
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-5",
          "name": "GPT-5.5",
          "input": 5,
          "output": 30
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-5-long-context",
          "name": "GPT-5.5 Long Context",
          "input": 10,
          "output": 45
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-luna-long-context",
          "name": "GPT-5.6-luna (long context)",
          "input": 0.4,
          "output": 1.8
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-luna-short-context",
          "name": "GPT-5.6-luna (short context)",
          "input": 0.2,
          "output": 1.2
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-sol-long-context",
          "name": "GPT-5.6-sol (long context)",
          "input": 10,
          "output": 45
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-sol-short-context",
          "name": "GPT-5.6-sol (short context)",
          "input": 5,
          "output": 30
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-terra-long-context",
          "name": "GPT-5.6-terra (long context)",
          "input": 4,
          "output": 18
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-6-terra-short-context",
          "name": "GPT-5.6-terra (short context)",
          "input": 2,
          "output": 12
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-chat",
          "name": "GPT-5 chat",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-codex",
          "name": "GPT-5 Codex",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-mini",
          "name": "GPT-5-mini",
          "input": 0.25,
          "output": 2
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-nano",
          "name": "GPT-5-nano",
          "input": 0.05,
          "output": 0.4
        },
        {
          "model": "azure-openai/azure-openai-gpt-5-pro",
          "name": "GPT-5 Pro",
          "input": 15,
          "output": 120
        },
        {
          "model": "azure-openai/azure-openai-gpt-chat-latest",
          "name": "GPT-Chat Latest 05052026",
          "input": 5,
          "output": 30
        },
        {
          "model": "azure-openai/azure-openai-o1",
          "name": "o1 (2024-12-17)",
          "input": 15,
          "output": 60
        },
        {
          "model": "azure-openai/azure-openai-o1-mini",
          "name": "o1-mini (2024-09-12)",
          "input": 1.1,
          "output": 4.4
        },
        {
          "model": "azure-openai/azure-openai-o1-preview",
          "name": "o1 preview (2024-09-12)",
          "input": 15,
          "output": 60
        },
        {
          "model": "azure-openai/azure-openai-o3",
          "name": "o3 (2025-04-16)",
          "input": 2,
          "output": 8
        },
        {
          "model": "azure-openai/azure-openai-o3-deep-research",
          "name": "o3-deep research",
          "input": 10,
          "output": 40
        },
        {
          "model": "azure-openai/azure-openai-o3-mini",
          "name": "o3 mini (2025-01-31)",
          "input": 1.1,
          "output": 4.4
        },
        {
          "model": "azure-openai/azure-openai-o4-mini",
          "name": "o4-mini (2025-04-16)",
          "input": 1.1,
          "output": 4.4
        },
        {
          "model": "inference-net/inference-net-claude-fable-5",
          "name": "Claude Fable 5",
          "input": 10,
          "output": 50
        },
        {
          "model": "inference-net/inference-net-claude-haiku-4-5",
          "name": "Claude Haiku 4.5",
          "input": 1,
          "output": 5
        },
        {
          "model": "inference-net/inference-net-claude-opus-4-6",
          "name": "Claude Opus 4.6",
          "input": 5,
          "output": 25
        },
        {
          "model": "inference-net/inference-net-claude-opus-4-7",
          "name": "Claude Opus 4.7",
          "input": 5,
          "output": 25
        },
        {
          "model": "inference-net/inference-net-claude-opus-4-8",
          "name": "Claude Opus 4.8",
          "input": 5,
          "output": 25
        },
        {
          "model": "inference-net/inference-net-claude-opus-5",
          "name": "Claude Opus 5",
          "input": 5,
          "output": 25
        },
        {
          "model": "inference-net/inference-net-claude-sonnet-4-6",
          "name": "Claude Sonnet 4.6",
          "input": 3,
          "output": 15
        },
        {
          "model": "inference-net/inference-net-deepseek-v4-flash",
          "name": "DeepSeek V4 Flash",
          "input": 0.14,
          "output": 0.28
        },
        {
          "model": "inference-net/inference-net-deepseek-v4-flash-0731",
          "name": "DeepSeek V4 Flash (0731)",
          "input": 0.168,
          "output": 0.336
        },
        {
          "model": "inference-net/inference-net-deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": 0.435,
          "output": 0.87
        },
        {
          "model": "inference-net/inference-net-deepseek-v4-pro-0813",
          "name": "DeepSeek V4 Pro (0813)",
          "input": 1.32,
          "output": 3.96
        },
        {
          "model": "inference-net/inference-net-gemini-2-5-flash",
          "name": "Gemini 2.5 Flash",
          "input": 0.3,
          "output": 2.5
        },
        {
          "model": "inference-net/inference-net-gemini-2-5-flash-lite",
          "name": "Gemini 2.5 Flash Lite",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "inference-net/inference-net-gemini-2-5-pro",
          "name": "Gemini 2.5 Pro",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "inference-net/inference-net-gemini-3-1-flash-lite",
          "name": "Gemini 3.1 Flash Lite",
          "input": 0.25,
          "output": 1.5
        },
        {
          "model": "inference-net/inference-net-gemini-3-1-pro-preview",
          "name": "Gemini 3.1 Pro Preview",
          "input": 2,
          "output": 12
        },
        {
          "model": "inference-net/inference-net-gemini-3-5-flash",
          "name": "Gemini 3.5 Flash",
          "input": 1.5,
          "output": 9
        },
        {
          "model": "inference-net/inference-net-gemini-3-5-flash-lite",
          "name": "Gemini 3.5 Flash-Lite",
          "input": 0.3,
          "output": 2.5
        },
        {
          "model": "inference-net/inference-net-gemini-3-6-flash",
          "name": "Gemini 3.6 Flash",
          "input": 1.5,
          "output": 7.5
        },
        {
          "model": "inference-net/inference-net-gemini-3-7-flash",
          "name": "Gemini 3.7 Flash",
          "input": 1.5,
          "output": 7.5
        },
        {
          "model": "inference-net/inference-net-gemini-3-flash-preview",
          "name": "Gemini 3 Flash Preview",
          "input": 0.5,
          "output": 3
        },
        {
          "model": "inference-net/inference-net-glm-5-2",
          "name": "GLM-5.2",
          "input": 1.3,
          "output": 4.4
        },
        {
          "model": "inference-net/inference-net-glm-5-2-fast",
          "name": "GLM-5.2 Fast",
          "input": 2.6,
          "output": 8.8
        },
        {
          "model": "inference-net/inference-net-glm-5-3",
          "name": "GLM-5.3",
          "input": 1.75,
          "output": 5.5
        },
        {
          "model": "inference-net/inference-net-glm-5-3-flash",
          "name": "GLM-5.3 Flash",
          "input": 0.54,
          "output": 1.8
        },
        {
          "model": "inference-net/inference-net-gpt-4-1",
          "name": "GPT-4.1",
          "input": 2,
          "output": 8
        },
        {
          "model": "inference-net/inference-net-gpt-4-1-mini",
          "name": "GPT-4.1 Mini",
          "input": 0.4,
          "output": 1.6
        },
        {
          "model": "inference-net/inference-net-gpt-4-1-nano",
          "name": "GPT-4.1 Nano",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "inference-net/inference-net-gpt-4o",
          "name": "GPT-4o",
          "input": 2.5,
          "output": 10
        },
        {
          "model": "inference-net/inference-net-gpt-4o-mini",
          "name": "GPT-4o Mini",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "inference-net/inference-net-gpt-5-4",
          "name": "GPT-5.4",
          "input": 2.5,
          "output": 15
        },
        {
          "model": "inference-net/inference-net-gpt-5-5",
          "name": "GPT-5.5",
          "input": 5,
          "output": 30
        },
        {
          "model": "inference-net/inference-net-gpt-5-6-luna",
          "name": "GPT-5.6 Luna",
          "input": 0.2,
          "output": 1.2
        },
        {
          "model": "inference-net/inference-net-gpt-5-6-sol",
          "name": "GPT-5.6 Sol",
          "input": 5,
          "output": 30
        },
        {
          "model": "inference-net/inference-net-gpt-5-6-terra",
          "name": "GPT-5.6 Terra",
          "input": 2,
          "output": 12
        },
        {
          "model": "inference-net/inference-net-gpt-5-mini",
          "name": "GPT-5 Mini",
          "input": 0.25,
          "output": 2
        },
        {
          "model": "inference-net/inference-net-gpt-5-nano",
          "name": "GPT-5 Nano",
          "input": 0.05,
          "output": 0.4
        },
        {
          "model": "inference-net/inference-net-grok-4-5",
          "name": "Grok 4.5",
          "input": 2,
          "output": 6
        },
        {
          "model": "inference-net/inference-net-grok-4-6",
          "name": "Grok 4.6",
          "input": 2,
          "output": 6
        },
        {
          "model": "inference-net/inference-net-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "inference-net/inference-net-kimi-k3-fast",
          "name": "Kimi K3 Fast",
          "input": 4.5,
          "output": 22.5
        },
        {
          "model": "inference-net/inference-net-schematron-v2-small",
          "name": "schematron-v2-small",
          "input": 0.05,
          "output": 0.25
        },
        {
          "model": "inference-net/inference-net-schematron-v2-turbo",
          "name": "schematron-v2-turbo",
          "input": 0.03,
          "output": 0.15
        },
        {
          "model": "parasail/parasail-cydonia-24b-v4-1",
          "name": "Cydonia 24B v4.1",
          "input": 0.3,
          "output": 0.5
        },
        {
          "model": "parasail/parasail-deepseek-v4-flash",
          "name": "DeepSeek V4 Flash",
          "input": 0.14,
          "output": 0.28
        },
        {
          "model": "parasail/parasail-deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": 1.74,
          "output": 3.48
        },
        {
          "model": "parasail/parasail-gemma-3-27b",
          "name": "Gemma 3 27B",
          "input": 0.08,
          "output": 0.45
        },
        {
          "model": "parasail/parasail-gemma-4-26b-a4b",
          "name": "Gemma 4 26B-A4B",
          "input": 0.13,
          "output": 0.4
        },
        {
          "model": "parasail/parasail-gemma-4-31b",
          "name": "Gemma 4 31B",
          "input": 0.15,
          "output": 0.4
        },
        {
          "model": "parasail/parasail-glm-5",
          "name": "GLM-5",
          "input": 1,
          "output": 3.2
        },
        {
          "model": "parasail/parasail-glm-5-1",
          "name": "GLM-5.1",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "parasail/parasail-glm-5-2",
          "name": "GLM-5.2",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "parasail/parasail-glm-5-3",
          "name": "GLM-5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "parasail/parasail-glm-5-3-flash",
          "name": "GLM-5.3 Flash",
          "input": 0.15,
          "output": 0.5
        },
        {
          "model": "parasail/parasail-gpt-oss-120b",
          "name": "gpt-oss-120b",
          "input": 0.1,
          "output": 0.75
        },
        {
          "model": "parasail/parasail-gpt-oss-120b-fast",
          "name": "gpt-oss-120b (Fast)",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "parasail/parasail-gpt-oss-20b",
          "name": "gpt-oss-20b",
          "input": 0.04,
          "output": 0.2
        },
        {
          "model": "parasail/parasail-kimi-k2-6",
          "name": "Kimi K2.6",
          "input": 0.75,
          "output": 3.5
        },
        {
          "model": "parasail/parasail-kimi-k2-7-code",
          "name": "Kimi K2.7 Code",
          "input": 0.75,
          "output": 3.5
        },
        {
          "model": "parasail/parasail-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "parasail/parasail-llama-3-3-70b-fp8",
          "name": "Llama 3.3 70B (FP8)",
          "input": 0.22,
          "output": 0.5
        },
        {
          "model": "parasail/parasail-llama-4-maverick-fp8",
          "name": "Llama 4 Maverick (FP8)",
          "input": 0.35,
          "output": 1
        },
        {
          "model": "parasail/parasail-mimo-v2-5",
          "name": "MiMo v2.5",
          "input": 0.14,
          "output": 0.28
        },
        {
          "model": "parasail/parasail-minimax-m2-5",
          "name": "MiniMax M2.5",
          "input": 0.3,
          "output": 1.2
        },
        {
          "model": "parasail/parasail-minimax-m3",
          "name": "MiniMax M3",
          "input": 0.3,
          "output": 1.2
        },
        {
          "model": "parasail/parasail-mistral-small-3-2-24b",
          "name": "Mistral Small 3.2 24B",
          "input": 0.09,
          "output": 0.3
        },
        {
          "model": "parasail/parasail-nemotron-3-ultra-550b-nvfp4",
          "name": "Nemotron 3 Ultra 550B (NVFP4)",
          "input": 0.5,
          "output": 2.5
        },
        {
          "model": "parasail/parasail-qwen2-5-vl-72b",
          "name": "Qwen2.5-VL 72B",
          "input": 0.8,
          "output": 1
        },
        {
          "model": "parasail/parasail-qwen3-235b-a22b-2507",
          "name": "Qwen3 235B-A22B (2507)",
          "input": 0.14,
          "output": 0.8
        },
        {
          "model": "parasail/parasail-qwen3-5-35b-a3b",
          "name": "Qwen3.5 35B-A3B",
          "input": 0.15,
          "output": 1
        },
        {
          "model": "parasail/parasail-qwen3-5-397b-a17b",
          "name": "Qwen3.5 397B-A17B",
          "input": 0.5,
          "output": 3.6
        },
        {
          "model": "parasail/parasail-qwen3-6-35b-a3b",
          "name": "Qwen3.6 35B-A3B",
          "input": 0.15,
          "output": 1
        },
        {
          "model": "parasail/parasail-qwen3-coder-next",
          "name": "Qwen3-Coder-Next",
          "input": 0.12,
          "output": 0.8
        },
        {
          "model": "parasail/parasail-qwen3-next-80b",
          "name": "Qwen3-Next 80B",
          "input": 0.1,
          "output": 1.1
        },
        {
          "model": "parasail/parasail-qwen3-vl-235b-a22b",
          "name": "Qwen3-VL 235B-A22B",
          "input": 0.21,
          "output": 1.9
        },
        {
          "model": "parasail/parasail-qwen3-vl-8b",
          "name": "Qwen3-VL 8B",
          "input": 0.25,
          "output": 0.75
        },
        {
          "model": "parasail/parasail-skyfall-31b-v4-2",
          "name": "Skyfall 31B v4.2",
          "input": 0.55,
          "output": 0.8
        },
        {
          "model": "parasail/parasail-skyfall-36b-v2-fp8",
          "name": "Skyfall 36B v2 (FP8)",
          "input": 0.55,
          "output": 0.8
        },
        {
          "model": "parasail/parasail-trinity-large-thinking",
          "name": "Trinity Large (Thinking)",
          "input": 0.22,
          "output": 0.85
        },
        {
          "model": "parasail/parasail-ui-tars-1-5-7b",
          "name": "UI-TARS 1.5 7B",
          "input": 0.1,
          "output": 0.2
        },
        {
          "model": "replicate/replicate-anthropic-claude-3-5-haiku",
          "name": "anthropic/claude-3.5-haiku",
          "input": 1,
          "output": 5
        },
        {
          "model": "replicate/replicate-anthropic-claude-4-5-haiku",
          "name": "anthropic/claude-4.5-haiku",
          "input": 1,
          "output": 5
        },
        {
          "model": "replicate/replicate-anthropic-claude-4-5-sonnet",
          "name": "anthropic/claude-4.5-sonnet",
          "input": 3,
          "output": 15
        },
        {
          "model": "replicate/replicate-anthropic-claude-4-sonnet",
          "name": "anthropic/claude-4-sonnet",
          "input": 3,
          "output": 15
        },
        {
          "model": "replicate/replicate-anthropic-claude-opus-4-6",
          "name": "anthropic/claude-opus-4.6",
          "input": 5,
          "output": 25
        },
        {
          "model": "replicate/replicate-deepseek-ai-deepseek-r1",
          "name": "deepseek-ai/deepseek-r1",
          "input": 3.75,
          "output": 10
        },
        {
          "model": "replicate/replicate-deepseek-ai-deepseek-v3",
          "name": "deepseek-ai/deepseek-v3",
          "input": 1.45,
          "output": 1.45
        },
        {
          "model": "replicate/replicate-deepseek-ai-deepseek-v3-1",
          "name": "deepseek-ai/deepseek-v3.1",
          "input": 0.672,
          "output": 2.016
        },
        {
          "model": "replicate/replicate-google-gemini-2-5-flash",
          "name": "google/gemini-2.5-flash",
          "input": 0.3,
          "output": 2.5
        },
        {
          "model": "replicate/replicate-google-gemini-3-1-pro",
          "name": "google/gemini-3.1-pro",
          "input": 2,
          "output": 12
        },
        {
          "model": "replicate/replicate-google-gemini-3-pro",
          "name": "google/gemini-3-pro",
          "input": 2,
          "output": 12
        },
        {
          "model": "replicate/replicate-ibm-granite-granite-3-3-8b-instruct",
          "name": "ibm-granite/granite-3.3-8b-instruct",
          "input": 0.03,
          "output": 0.25
        },
        {
          "model": "replicate/replicate-meta-meta-llama-3-70b-instruct",
          "name": "meta/meta-llama-3-70b-instruct",
          "input": 0.65,
          "output": 2.75
        },
        {
          "model": "replicate/replicate-meta-meta-llama-3-8b-instruct",
          "name": "meta/meta-llama-3-8b-instruct",
          "input": 0.05,
          "output": 0.25
        },
        {
          "model": "replicate/replicate-moonshotai-kimi-k2-5",
          "name": "moonshotai/kimi-k2.5",
          "input": 0.72,
          "output": 3.6
        },
        {
          "model": "replicate/replicate-openai-gpt-4-1",
          "name": "openai/gpt-4.1",
          "input": 2,
          "output": 8
        },
        {
          "model": "replicate/replicate-openai-gpt-4-1-mini",
          "name": "openai/gpt-4.1-mini",
          "input": 0.4,
          "output": 1.6
        },
        {
          "model": "replicate/replicate-openai-gpt-4-1-nano",
          "name": "openai/gpt-4.1-nano",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "replicate/replicate-openai-gpt-4o",
          "name": "openai/gpt-4o",
          "input": 2.5,
          "output": 10
        },
        {
          "model": "replicate/replicate-openai-gpt-4o-mini",
          "name": "openai/gpt-4o-mini",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "replicate/replicate-openai-gpt-5",
          "name": "openai/gpt-5",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "replicate/replicate-openai-gpt-5-2",
          "name": "openai/gpt-5.2",
          "input": 1.75,
          "output": 14
        },
        {
          "model": "replicate/replicate-openai-gpt-5-mini",
          "name": "openai/gpt-5-mini",
          "input": 0.25,
          "output": 2
        },
        {
          "model": "replicate/replicate-openai-gpt-5-nano",
          "name": "openai/gpt-5-nano",
          "input": 0.05,
          "output": 0.4
        },
        {
          "model": "replicate/replicate-openai-gpt-oss-120b",
          "name": "openai/gpt-oss-120b",
          "input": 0.18,
          "output": 0.72
        },
        {
          "model": "replicate/replicate-openai-gpt-oss-20b",
          "name": "openai/gpt-oss-20b",
          "input": 0.09,
          "output": 0.36
        },
        {
          "model": "replicate/replicate-openai-o1",
          "name": "openai/o1",
          "input": 15,
          "output": 60
        },
        {
          "model": "replicate/replicate-openai-o1-mini",
          "name": "openai/o1-mini",
          "input": 1.1,
          "output": 4.4
        },
        {
          "model": "replicate/replicate-openai-o4-mini",
          "name": "openai/o4-mini",
          "input": 1,
          "output": 4
        },
        {
          "model": "replicate/replicate-qwen-qwen3-235b-a22b-instruct-2507",
          "name": "qwen/qwen3-235b-a22b-instruct-2507",
          "input": 0.264,
          "output": 1.06
        },
        {
          "model": "sambanova/sambanova-minimax-m3",
          "name": "MiniMax-M3",
          "input": 0.6,
          "output": 2.4
        }
      ],
      "removed": []
    },
    {
      "date": "2026-08-30T1321Z",
      "compared_to": "2026-08-29",
      "price_changes": [],
      "added": [
        {
          "model": "ai21/jamba-large",
          "name": "Jamba Large",
          "input": 2,
          "output": 8
        },
        {
          "model": "ai21/jamba-mini",
          "name": "Jamba Mini",
          "input": 0.2,
          "output": 0.4
        },
        {
          "model": "baseten/baseten-deepseek-v4-flash-0731",
          "name": "DeepSeek V4 Flash 0731",
          "input": 0.13,
          "output": 0.26
        },
        {
          "model": "baseten/baseten-deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": 1.74,
          "output": 3.48
        },
        {
          "model": "baseten/baseten-deepseek-v4-pro-0813",
          "name": "DeepSeek V4 Pro 0813",
          "input": 1.32,
          "output": 3.96
        },
        {
          "model": "baseten/baseten-glm-4.7",
          "name": "GLM 4.7",
          "input": 0.6,
          "output": 2.2
        },
        {
          "model": "baseten/baseten-glm-5.2",
          "name": "GLM-5.2",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "baseten/baseten-glm-5.2-fast",
          "name": "GLM-5.2 Fast",
          "input": 2.1,
          "output": 6.6
        },
        {
          "model": "baseten/baseten-glm-5.3",
          "name": "GLM-5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "baseten/baseten-glm-5.3-flash",
          "name": "GLM-5.3-Flash",
          "input": 0.15,
          "output": 0.5
        },
        {
          "model": "baseten/baseten-gpt-oss-120b",
          "name": "GPT OSS 120B",
          "input": 0.1,
          "output": 0.5
        },
        {
          "model": "baseten/baseten-kimi-k2.6",
          "name": "Kimi K2.6",
          "input": 0.95,
          "output": 4
        },
        {
          "model": "baseten/baseten-kimi-k2.7-code",
          "name": "Kimi K2.7 Code",
          "input": 0.95,
          "output": 4
        },
        {
          "model": "baseten/baseten-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "cerebras/cerebras-gemma-4-31b",
          "name": "Gemma 4 31B",
          "input": 0.99,
          "output": 1.49
        },
        {
          "model": "cerebras/cerebras-gpt-oss-120b",
          "name": "GPT OSS 120B",
          "input": 0.35,
          "output": 0.75
        },
        {
          "model": "cloudflare/cloudflare-deepseek-r1-distill-qwen-32b",
          "name": "DeepSeek R1 Distill Qwen 32B",
          "input": 0.497,
          "output": 4.881
        },
        {
          "model": "cloudflare/cloudflare-deepseek-v4-flash-0731",
          "name": "DeepSeek V4 Flash (0731)",
          "input": 0.44,
          "output": 1.32
        },
        {
          "model": "cloudflare/cloudflare-deepseek-v4-pro-0813",
          "name": "DeepSeek V4 Pro (0813)",
          "input": 1.32,
          "output": 3.96
        },
        {
          "model": "cloudflare/cloudflare-gpt-oss-120b",
          "name": "GPT-OSS 120B",
          "input": 0.35,
          "output": 0.75
        },
        {
          "model": "cloudflare/cloudflare-gpt-oss-20b",
          "name": "GPT-OSS 20B",
          "input": 0.2,
          "output": 0.3
        },
        {
          "model": "cloudflare/cloudflare-llama-3.1-8b-instruct-fp8-fast",
          "name": "Llama 3.1 8B Instruct (fp8-fast)",
          "input": 0.045,
          "output": 0.384
        },
        {
          "model": "cloudflare/cloudflare-llama-3.3-70b-instruct-fp8-fast",
          "name": "Llama 3.3 70B Instruct (fp8-fast)",
          "input": 0.293,
          "output": 2.253
        },
        {
          "model": "cloudflare/cloudflare-llama-4-scout-17b-16e-instruct",
          "name": "Llama 4 Scout 17B 16E Instruct",
          "input": 0.27,
          "output": 0.85
        },
        {
          "model": "cloudflare/cloudflare-mistral-small-3.1-24b-instruct",
          "name": "Mistral Small 3.1 24B Instruct",
          "input": 0.351,
          "output": 0.555
        },
        {
          "model": "cloudflare/cloudflare-qwen2.5-coder-32b-instruct",
          "name": "Qwen2.5 Coder 32B Instruct",
          "input": 0.66,
          "output": 1
        },
        {
          "model": "cloudflare/cloudflare-qwq-32b",
          "name": "QwQ 32B",
          "input": 0.66,
          "output": 1
        },
        {
          "model": "novita/novita-deepseek-r1-0528",
          "name": "DeepSeek R1 0528",
          "input": 0.7,
          "output": 2.5
        },
        {
          "model": "novita/novita-deepseek-v3.1-terminus",
          "name": "DeepSeek V3.1 Terminus",
          "input": 0.27,
          "output": 1
        },
        {
          "model": "novita/novita-glm-4.6",
          "name": "GLM 4.6",
          "input": 0.55,
          "output": 2.2
        },
        {
          "model": "novita/novita-gpt-oss-120b",
          "name": "GPT-OSS 120B",
          "input": 0.05,
          "output": 0.25
        },
        {
          "model": "novita/novita-gpt-oss-20b",
          "name": "GPT-OSS 20B",
          "input": 0.04,
          "output": 0.15
        },
        {
          "model": "novita/novita-kimi-k2-instruct",
          "name": "Kimi K2 Instruct",
          "input": 0.57,
          "output": 2.3
        },
        {
          "model": "novita/novita-kimi-k2-thinking",
          "name": "Kimi K2 Thinking",
          "input": 0.6,
          "output": 2.5
        },
        {
          "model": "novita/novita-llama-4-maverick-instruct",
          "name": "Llama 4 Maverick Instruct",
          "input": 0.27,
          "output": 0.85
        },
        {
          "model": "novita/novita-llama-4-scout-instruct",
          "name": "Llama 4 Scout Instruct",
          "input": 0.18,
          "output": 0.59
        },
        {
          "model": "novita/novita-mistral-nemo",
          "name": "Mistral Nemo",
          "input": 0.04,
          "output": 0.17
        },
        {
          "model": "novita/novita-qwen3-235b-a22b-instruct-2507",
          "name": "Qwen3 235B A22B Instruct 2507",
          "input": 0.09,
          "output": 0.58
        },
        {
          "model": "novita/novita-qwen3-coder-480b-a35b-instruct",
          "name": "Qwen3 Coder 480B A35B Instruct",
          "input": 0.38,
          "output": 1.55
        },
        {
          "model": "perplexity/sonar",
          "name": "Sonar",
          "input": 1,
          "output": 1
        },
        {
          "model": "perplexity/sonar-deep-research",
          "name": "Sonar Deep Research",
          "input": 2,
          "output": 8
        },
        {
          "model": "perplexity/sonar-pro",
          "name": "Sonar Pro",
          "input": 3,
          "output": 15
        },
        {
          "model": "perplexity/sonar-reasoning-pro",
          "name": "Sonar Reasoning Pro",
          "input": 2,
          "output": 8
        },
        {
          "model": "sambanova/sambanova-deepseek-r1-0528",
          "name": "DeepSeek-R1-0528",
          "input": 5,
          "output": 7
        },
        {
          "model": "sambanova/sambanova-deepseek-r1-distill-llama-70b",
          "name": "DeepSeek-R1-Distill-Llama-70B",
          "input": 0.7,
          "output": 1.4
        },
        {
          "model": "sambanova/sambanova-deepseek-v3-2",
          "name": "DeepSeek-V3.2",
          "input": 3,
          "output": 4.5
        },
        {
          "model": "sambanova/sambanova-gemma-4-31b",
          "name": "gemma-4-31B-it",
          "input": 0.22,
          "output": 0.59
        },
        {
          "model": "sambanova/sambanova-gpt-oss-120b",
          "name": "gpt-oss-120b",
          "input": 0.22,
          "output": 0.59
        },
        {
          "model": "sambanova/sambanova-llama-3-3-70b",
          "name": "Meta-Llama-3.3-70B-Instruct",
          "input": 0.6,
          "output": 1.2
        },
        {
          "model": "sambanova/sambanova-llama-4-maverick-17b-128e-instruct",
          "name": "Llama-4-Maverick-17B-128E-Instruct",
          "input": 0.63,
          "output": 1.8
        },
        {
          "model": "sambanova/sambanova-minimax-m2-7",
          "name": "MiniMax-M2.7",
          "input": 0.6,
          "output": 2.4
        },
        {
          "model": "sambanova/sambanova-qwen3-235b-a22b-instruct-2507",
          "name": "Qwen3-235B-A22B-Instruct-2507",
          "input": 0.4,
          "output": 0.8
        },
        {
          "model": "sambanova/sambanova-qwen3-32b",
          "name": "Qwen3-32B",
          "input": 0.4,
          "output": 0.8
        },
        {
          "model": "together/together-deepseek-v4-flash-0731",
          "name": "DeepSeek V4 Flash 0731",
          "input": 0.14,
          "output": 0.28
        },
        {
          "model": "together/together-deepseek-v4-pro-0813",
          "name": "DeepSeek V4 Pro 0813",
          "input": 1.32,
          "output": 3.96
        },
        {
          "model": "together/together-glm-5-3",
          "name": "GLM-5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "together/together-glm-5-3-flash",
          "name": "GLM-5.3-Flash",
          "input": 0.15,
          "output": 0.5
        },
        {
          "model": "together/together-gpt-oss-120b",
          "name": "gpt-oss-120B",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "together/together-gpt-oss-20b",
          "name": "gpt-oss-20B",
          "input": 0.05,
          "output": 0.2
        },
        {
          "model": "together/together-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "together/together-minimax-m3",
          "name": "MiniMax M3",
          "input": 0.3,
          "output": 1.2
        },
        {
          "model": "together/together-qwen3-235b-a22b-instruct-2507",
          "name": "Qwen3 235B A22B Instruct 2507 FP8 Throughput",
          "input": 0.2,
          "output": 0.6
        },
        {
          "model": "together/together-qwen3-5-397b-a17b",
          "name": "Qwen3.5-397B-A17B",
          "input": 0.6,
          "output": 3.6
        }
      ],
      "removed": []
    },
    {
      "date": "2026-08-29",
      "compared_to": "2026-08-28",
      "price_changes": [
        {
          "model": "amazon/amazon-nova-2-lite",
          "name": "Amazon Nova 2 Lite",
          "input": {
            "before": 0.3,
            "after": 0.3,
            "pct": 0
          },
          "output": {
            "before": 2.5,
            "after": 2.5,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.075,
            "pct": null
          },
          "cache_write": {
            "before": null,
            "after": 0,
            "pct": null
          }
        },
        {
          "model": "amazon/amazon-nova-lite",
          "name": "Amazon Nova Lite",
          "input": {
            "before": 0.06,
            "after": 0.06,
            "pct": 0
          },
          "output": {
            "before": 0.24,
            "after": 0.24,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.015,
            "pct": null
          },
          "cache_write": {
            "before": null,
            "after": 0,
            "pct": null
          }
        },
        {
          "model": "amazon/amazon-nova-micro",
          "name": "Amazon Nova Micro",
          "input": {
            "before": 0.035,
            "after": 0.035,
            "pct": 0
          },
          "output": {
            "before": 0.14,
            "after": 0.14,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.00875,
            "pct": null
          },
          "cache_write": {
            "before": null,
            "after": 0,
            "pct": null
          }
        },
        {
          "model": "amazon/amazon-nova-premier",
          "name": "Amazon Nova Premier",
          "input": {
            "before": 2.5,
            "after": 2.5,
            "pct": 0
          },
          "output": {
            "before": 12.5,
            "after": 12.5,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.625,
            "pct": null
          }
        },
        {
          "model": "amazon/amazon-nova-pro",
          "name": "Amazon Nova Pro",
          "input": {
            "before": 0.8,
            "after": 0.8,
            "pct": 0
          },
          "output": {
            "before": 3.2,
            "after": 3.2,
            "pct": 0
          },
          "cache_read": {
            "before": null,
            "after": 0.2,
            "pct": null
          },
          "cache_write": {
            "before": null,
            "after": 0,
            "pct": null
          }
        }
      ],
      "added": [
        {
          "model": "alibaba/qwen-plus",
          "name": "Qwen-Plus",
          "input": 0.4,
          "output": 1.2
        },
        {
          "model": "alibaba/qwen-turbo",
          "name": "Qwen-Turbo",
          "input": 0.05,
          "output": 0.2
        },
        {
          "model": "alibaba/qwen3.5-flash",
          "name": "Qwen3.5-Flash",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "alibaba/qwen3.8-flash",
          "name": "Qwen3.8-Flash",
          "input": 0.15,
          "output": 0.47
        },
        {
          "model": "alibaba/qwen3.8-max",
          "name": "Qwen3.8-Max",
          "input": 2,
          "output": 6
        },
        {
          "model": "deepinfra/deepinfra-deepseek-v4-pro",
          "name": "DeepSeek-V4-Pro",
          "input": 1.3,
          "output": 2.6
        },
        {
          "model": "deepinfra/deepinfra-kimi-k3",
          "name": "Kimi-K3",
          "input": 2.85,
          "output": 14.25
        },
        {
          "model": "deepinfra/deepinfra-llama-3.1-8b-instruct-turbo",
          "name": "Meta-Llama-3.1-8B-Instruct-Turbo",
          "input": 0.02,
          "output": 0.04
        },
        {
          "model": "deepinfra/deepinfra-llama-3.3-70b-instruct-turbo",
          "name": "Llama-3.3-70B-Instruct-Turbo",
          "input": 0.1,
          "output": 0.32
        },
        {
          "model": "deepinfra/deepinfra-llama-4-maverick-17b-128e",
          "name": "Llama-4-Maverick-17B-128E",
          "input": 0.2,
          "output": 0.8
        },
        {
          "model": "deepinfra/deepinfra-qwen3-max",
          "name": "Qwen3-Max",
          "input": 1.2,
          "output": 6
        },
        {
          "model": "deepseek/deepseek-v4-flash-vision-exp",
          "name": "DeepSeek V4 Flash Vision (Exp)",
          "input": 0.22,
          "output": 0.66
        },
        {
          "model": "fireworks/fireworks-deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": 1.74,
          "output": 3.48
        },
        {
          "model": "fireworks/fireworks-glm-5-3",
          "name": "GLM 5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "fireworks/fireworks-gpt-oss-120b",
          "name": "GPT-OSS 120B",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "fireworks/fireworks-gpt-oss-20b",
          "name": "GPT-OSS 20B",
          "input": 0.07,
          "output": 0.3
        },
        {
          "model": "fireworks/fireworks-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "fireworks/fireworks-qwen3-8-max",
          "name": "Qwen3.8 Max",
          "input": 2,
          "output": 6
        },
        {
          "model": "google/gemini-2.5-flash",
          "name": "Gemini 2.5 Flash",
          "input": 0.3,
          "output": 2.5
        },
        {
          "model": "google/gemini-2.5-flash-lite",
          "name": "Gemini 2.5 Flash-Lite",
          "input": 0.1,
          "output": 0.4
        },
        {
          "model": "google/gemini-2.5-pro",
          "name": "Gemini 2.5 Pro",
          "input": 1.25,
          "output": 10
        },
        {
          "model": "google/gemini-3-flash-preview",
          "name": "Gemini 3 Flash Preview",
          "input": 0.5,
          "output": 3
        },
        {
          "model": "google/gemini-3.5-flash-lite",
          "name": "Gemini 3.5 Flash-Lite",
          "input": 0.3,
          "output": 2.5
        },
        {
          "model": "groq/groq-gpt-oss-120b",
          "name": "GPT-OSS 120B",
          "input": 0.15,
          "output": 0.6
        },
        {
          "model": "groq/groq-gpt-oss-20b",
          "name": "GPT-OSS 20B",
          "input": 0.075,
          "output": 0.3
        },
        {
          "model": "groq/groq-qwen3-6-27b",
          "name": "Qwen3.6 27B",
          "input": 0.6,
          "output": 3
        },
        {
          "model": "groq/groq-qwen3-8-27b",
          "name": "Qwen3.8 27B",
          "input": 0.8,
          "output": 4
        },
        {
          "model": "moonshot/kimi-k2.6",
          "name": "Kimi K2.6",
          "input": 0.95,
          "output": 4
        },
        {
          "model": "moonshot/kimi-k2.7-code",
          "name": "Kimi K2.7 Code",
          "input": 0.95,
          "output": 4
        },
        {
          "model": "moonshot/kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "moonshot/moonshot-v1-128k",
          "name": "Moonshot v1 128K",
          "input": 2,
          "output": 5
        },
        {
          "model": "moonshot/moonshot-v1-8k",
          "name": "Moonshot v1 8K",
          "input": 0.2,
          "output": 2
        },
        {
          "model": "openrouter/openrouter-deepseek-v4-pro",
          "name": "DeepSeek V4 Pro",
          "input": 0.680862,
          "output": 1.361724
        },
        {
          "model": "openrouter/openrouter-ernie-4.5-vl",
          "name": "ERNIE 4.5 VL 424B A47B",
          "input": 0.42,
          "output": 1.25
        },
        {
          "model": "openrouter/openrouter-glm-5.3",
          "name": "GLM-5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "openrouter/openrouter-gpt-oss-120b",
          "name": "GPT-OSS 120B",
          "input": 0.037,
          "output": 0.17
        },
        {
          "model": "openrouter/openrouter-gpt-oss-20b",
          "name": "GPT-OSS 20B",
          "input": 0.03,
          "output": 0.13
        },
        {
          "model": "openrouter/openrouter-granite-4.1-8b",
          "name": "Granite 4.1 8B",
          "input": 0.05,
          "output": 0.1
        },
        {
          "model": "openrouter/openrouter-hy3",
          "name": "Hy3",
          "input": 0.132,
          "output": 0.528
        },
        {
          "model": "openrouter/openrouter-kimi-k3",
          "name": "Kimi K3",
          "input": 3,
          "output": 15
        },
        {
          "model": "openrouter/openrouter-llama-3.1-8b",
          "name": "Llama 3.1 8B",
          "input": 0.05,
          "output": 0.08
        },
        {
          "model": "openrouter/openrouter-llama-3.3-70b",
          "name": "Llama 3.3 70B",
          "input": 0.71,
          "output": 0.71
        },
        {
          "model": "openrouter/openrouter-llama-4-maverick",
          "name": "Llama 4 Maverick",
          "input": 0.2,
          "output": 0.8
        },
        {
          "model": "openrouter/openrouter-mimo-v2.5",
          "name": "MiMo V2.5",
          "input": 0.14,
          "output": 0.28
        },
        {
          "model": "openrouter/openrouter-minimax-m3",
          "name": "MiniMax M3",
          "input": 0.3,
          "output": 1.2
        },
        {
          "model": "openrouter/openrouter-nemotron-3-super",
          "name": "Nemotron 3 Super",
          "input": 0.085,
          "output": 0.4
        },
        {
          "model": "openrouter/openrouter-qwen3.8-max",
          "name": "Qwen3.8-Max",
          "input": 2,
          "output": 6
        },
        {
          "model": "openrouter/openrouter-seed-2.0-lite",
          "name": "Seed 2.0 Lite",
          "input": 0.25,
          "output": 2
        },
        {
          "model": "openrouter/openrouter-solar-pro-4",
          "name": "Solar Pro 4",
          "input": 0.03,
          "output": 0.12
        },
        {
          "model": "openrouter/openrouter-sonar",
          "name": "Sonar",
          "input": 1,
          "output": 1
        },
        {
          "model": "openrouter/openrouter-sonar-pro",
          "name": "Sonar Pro",
          "input": 3,
          "output": 15
        },
        {
          "model": "together/together-llama-3.1-70b",
          "name": "Llama 3.1 70B (Together)",
          "input": 0.88,
          "output": 0.88
        },
        {
          "model": "xai/grok-4.5",
          "name": "Grok 4.5",
          "input": 2,
          "output": 6
        },
        {
          "model": "xai/grok-build-0.1",
          "name": "Grok Build",
          "input": 1,
          "output": 2
        },
        {
          "model": "zai/glm-4.5",
          "name": "GLM-4.5",
          "input": 0.6,
          "output": 2.2
        },
        {
          "model": "zai/glm-4.5-air",
          "name": "GLM-4.5-Air",
          "input": 0.2,
          "output": 1.1
        },
        {
          "model": "zai/glm-4.6",
          "name": "GLM-4.6",
          "input": 0.6,
          "output": 2.2
        },
        {
          "model": "zai/glm-5.3",
          "name": "GLM-5.3",
          "input": 1.4,
          "output": 4.4
        },
        {
          "model": "zai/glm-5.3-flash",
          "name": "GLM-5.3-Flash",
          "input": 0.075,
          "output": 0.25
        }
      ],
      "removed": []
    }
  ]
}