Codestral 25.08 vs Codestral-22B-v0.1
Codestral 25.08 comes out ahead, 31 to 0 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AICodestral 25.08
31/100- ECI—
- Price$0.30 / $0.90
- Context128K
- Mistral AI
Codestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
Add a model
Make it a three-way comparison.
Codestral 25.08 is our pick
Codestral 25.08 is the better all-round choice, scoring 31/100 against Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceCodestral 25.08Codestral 25.08 $0.45 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextCodestral 25.08Codestral 25.08 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsSame inputsCodestral 25.08: Text · Codestral-22B-v0.1: Text
- Self-hostingCodestral-22B-v0.1Publishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral 25.08 | Codestral-22B-v0.1 |
|---|---|---|---|
| Inputs & features | 60% | 35 | 0 |
| Context window | 40% | 24 | 0 |
| Overall | 100% | 31/100 | 0/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Codestral 25.08Mistral AI | Codestral-22B-v0.1Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | — |
| Output | $0.90 | — |
| Cached input | $0.03 | — |
| Blended (3:1) | $0.45 | — |
| Long-context rate | Same rate | — |
| Price source | Official Mistral API | — |
| Limits | ||
| Context window | 128,000 tokens (best) | 32,768 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | No |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | OpenMistral AI Non-Production License |
| API model ID | codestral-2508 | — |
| API providers | 11 | — |
| Released | Jul 30, 2025 | May 29, 2024 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Codestral 25.08$4.80
- Codestral-22B-v0.1—
Which should you choose?
Which is better: Codestral 25.08 or Codestral-22B-v0.1?
Codestral 25.08 is the better all-round choice, scoring 31/100 against Codestral-22B-v0.1 (0). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Codestral 25.08 or Codestral-22B-v0.1?
Codestral 25.08 is cheaper at $0.30 input / $0.90 output per million tokens (official Mistral API price). . At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Codestral 25.08 versus . Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Codestral 25.08 has not been scored yet and Codestral-22B-v0.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral 25.08 and Codestral-22B-v0.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Codestral-22B-v0.1 does not support tool calling, which most coding agents need.
Which has the bigger context window?
Codestral 25.08 has the largest context window at 128,000 tokens, against 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral 25.08 up to 8,192, Codestral-22B-v0.1 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Codestral 25.08 accepts text; Codestral-22B-v0.1 accepts text. They handle the same number of input types.
Are any of these open source?
Codestral-22B-v0.1 publishes its weights (Mistral AI Non-Production License) and can be self-hosted; Codestral 25.08 is proprietary.
Which is newer?
Codestral 25.08 is the newest, released Jul 30, 2025. Codestral-22B-v0.1 came out May 29, 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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