google/gemini-3.1-pro pricing
google/gemini-3.1-pro, Flagship-tier from Replicate, costs $2.00 per 1M input tokens and $12.00 per 1M output tokens.
Input$2.00per 1M tokens
Output$12.00per 1M tokens
Context window—tokens
TierFlagshipReplicate
Price your own workload against google/gemini-3.1-pro in the calculator →
Specs and pricing
| Provider | Replicate |
| Tier | Flagship |
| Context window | — |
| Max output | — |
| Input price | $2.00 / 1M tokens |
| Output price | $12.00 / 1M tokens |
| Modalities | text |
Note. Base tier for prompts up to 200,000 input tokens: Replicate lists input at $2 per million tokens and output at $0.012 per thousand tokens ($12 per 1M, converted). Above 200,000 input tokens Replicate's own tier switches to $4 per million input and $0.018 per thousand output ($18 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 | $2.00 | $3.00 | $5.00 |
| 10,000,000 in / 2,500,000 out | $20.00 | $30.00 | $50.00 |
| 100,000,000 in / 25,000,000 out | $200.00 | $300.00 | $500.00 |
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 | 95.3% cheaper blended |
| GPT-OSS 120B | Groq | $0.15 | $0.60 | 94% cheaper blended |
| Qwen3 235B-A22B (2507) | Parasail | $0.14 | $0.80 | 93.2% cheaper blended |
| Llama 4 Maverick | Together AI | $0.27 | $0.85 | 90.3% cheaper blended |
| Llama 4 Maverick Instruct | Novita AI | $0.27 | $0.85 | 90.3% cheaper blended |