Codestral 7B: pricing, context window and benchmarks
Codestral 7B is a small open-weight model from Mistral AI. It offers a 32,768-token context window, costs $1.05 per million input tokens and $5.23 per million output tokens, and averages 57.0 across the index's benchmark suite.
Pricing
Codestral 7B costs $1.05 per million input tokens and $5.23 per million output tokens. A blended 3:1 input-to-output mix works out to about $2.10 per million tokens. Cached input is listed at $0.12 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $1.05 | per 1M tokens |
| Output | $5.23 | per 1M tokens |
| Cached input | $0.12 | per 1M tokens |
| Blended 3:1 | $2.10 | estimate per 1M tokens |
| 1M in + 1M out | $6.28 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 60.2 | 526 | 12th | |
| GPQA Diamond | 54.0 | 480 | 20th | |
| SWE-bench Verified | 44.0 | 478 | 20th | |
| HumanEval | 62.3 | 465 | 23th | |
| MATH-500 | 57.0 | 497 | 17th | |
| AIME 2025 | 42.8 | 525 | 13th | |
| LiveCodeBench | 48.0 | 465 | 23th | |
| IFEval | 69.0 | 473 | 21th | |
| TruthfulQA | 61.0 | 519 | 14th | |
| HellaSwag | 73.9 | 457 | 24th | |
| MMMU | 55.1 | 495 | 18th | |
| Arena Elo | 1243.9 | 500 | 17th |
What Codestral 7B is good for
Codestral 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.05 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $1.05 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Auto Nano | OpenRouter | 4096 | $2.83 | 57.1 |
| Seed-OSS 8B | ByteDance | 8192 | $1.05 | 57.1 |
| Codestral 7B | Mistral AI | 32768 | $1.05 | 57.0 |
| Llama 3 Baseten 8B | Baseten | 4096 | $1.02 | 57.0 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| DeepSeek-V3.2 1.5B | DeepSeek | 4096 | $1.02 | 56.9 |
FAQ
How much does Codestral 7B cost?
Codestral 7B is listed at $1.05 per million input tokens and $5.23 per million output tokens. Cached input is $0.12 per million tokens. A blended 3:1 input-to-output mix is about $2.10 per million tokens.
What is the context window of Codestral 7B?
Codestral 7B has a context window of 32,768 tokens and can emit up to 8,192 output tokens per request in this index.
Is Codestral 7B open weights?
Yes. Codestral 7B is listed as an open-weight model under a open weights licence.
How does Codestral 7B score on benchmarks?
Codestral 7B averages 57.0 across the scored benchmarks in this index, ranking #487 of 600 models. Its strongest relative result is Arena Elo at 1243.9.
What is Codestral 7B best for?
Codestral 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $1.05 per million input tokens it can handle a large share of production traffic.