Codestral vs Codestral 25.08
Too close to call on our weighted score (Codestral 49, Codestral 25.08 47). The right pick depends on what you value most.
Mistral AI
Codestral
49/100- ECI—
- Price$0.30 / $0.90
- Context256K
Mistral AI
Codestral 25.08
47/100- ECI—
- Price$0.30 / $0.90
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Codestral 49/100, Codestral 25.08 47/100), so choose by what matters most for your work: Codestral on price and Codestral for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceSame priceCodestral $0.45 · Codestral 25.08 $0.45 per 1M tokens (3:1 blend)
- Longest contextCodestralCodestral 256,000 · Codestral 25.08 128,000 tokens
- Widest inputsSame inputsCodestral: Text · Codestral 25.08: Text
- Self-hostingCodestralPublishes downloadable weights
| Measure | Weight | Codestral | Codestral 25.08 |
|---|---|---|---|
| Price | 50% | 64 | 64 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 36 | 24 |
| Overall | 100% | 49/100 | 47/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.30 |
| Output | $0.90 | $0.90 |
| Cached input | $0.03 | $0.03 |
| Blended (3:1) | $0.45 | $0.45 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Mistral API |
| Limits | ||
| Context window | 256,000 tokens (best) | 128,000 tokens |
| Max output | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | codestral-latest | codestral-2508 |
| API providers | 4 | 11 (best) |
| Released | May 29, 2024 | Jul 30, 2025 |
| Knowledge cutoff | Oct 2024 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Codestral$4.80
Codestral 25.08$4.80
Which should you choose?
Which is better: Codestral or Codestral 25.08?
It is close. Our weighted score puts them within 2 points (Codestral 49/100, Codestral 25.08 47/100), so choose by what matters most for your work: Codestral on price and Codestral for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Codestral or Codestral 25.08?
Codestral and Codestral 25.08 cost the same: $0.30 input / $0.90 output per million tokens.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Codestral has not been scored yet and Codestral 25.08 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral and Codestral 25.08 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Codestral has the largest context window at 256,000 tokens, against 128,000 for Codestral 25.08. Maximum output per response: Codestral up to 4,096, Codestral 25.08 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Codestral accepts text; Codestral 25.08 accepts text. They handle the same number of input types.
Are any of these open source?
Codestral publishes its weights and can be self-hosted; Codestral 25.08 is proprietary.
Which is newer?
Codestral 25.08 is the newest, released Jul 30, 2025. Codestral came out May 29, 2024. Knowledge cutoff: Codestral Oct 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.