GLM-5.2 (on Mistral) pricing
GLM-5.2 (on Mistral), Flagship-tier from Mistral AI, costs $1.40 per 1M input tokens and $4.40 per 1M output tokens.
Input$1.40per 1M tokens
Output$4.40per 1M tokens
Context window1Mtokens
TierFlagshipMistral AI
Price your own workload against GLM-5.2 (on Mistral) in the calculator →
Specs and pricing
| Provider | Mistral AI |
| Tier | Flagship |
| Context window | 1M tokens |
| Max output | 128K tokens |
| Input price | $1.40 / 1M tokens |
| Output price | $4.40 / 1M tokens |
| Cache read | $0.14 / 1M tokens |
| Modalities | text |
Note. A Z.ai model resold by Mistral and served on Mistral's EU infrastructure, listed as zai-glm-5-2 on Mistral's own pricing page. Cache read is $0.14 per 1M.
What it costs at realistic volumes
Assuming a 4:1 input:output token ratio, a common shape for chat and RAG-style workloads:
| Volume (4:1 in:out ratio) | Input cost | Output cost | Total / month |
|---|---|---|---|
| 1,000,000 in / 250,000 out | $1.40 | $1.10 | $2.50 |
| 10,000,000 in / 2,500,000 out | $14.00 | $11.00 | $25.00 |
| 100,000,000 in / 25,000,000 out | $140.00 | $110.00 | $250.00 |
Cheaper alternatives
Same tier (Flagship), a different provider, and a lower blended cost at the 4:1 ratio used above:
| Model | Provider | $/1M in | $/1M out | At the 4:1 ratio |
|---|---|---|---|---|
| Qwen3 235B A22B Instruct 2507 | Novita AI | $0.09 | $0.58 | 90.6% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 88% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 86.4% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 80.7% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 80.7% cheaper blended |