Codestral vs Codestral-22B-v0.1
Codestral comes out ahead, 48 to 33 on our weighted score.
- Our pick
Mistral AICodestral
48/100- ECI—
- Price$0.30 / $0.90
- Context256K
- Mistral AI
Codestral-22B-v0.1
33/100- ECI—
- Price$0.30 / $0.90
- Context33K
Add a model
Make it a three-way comparison.
Codestral is our pick
Codestral is the better all-round choice, scoring 48/100 against Codestral-22B-v0.1 (33). It leads on inputs & features and context window. 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-22B-v0.1 $0.45 per 1M tokens (3:1 blend)
- Longest contextCodestralCodestral 256,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsSame inputsCodestral: Text · Codestral-22B-v0.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Codestral | Codestral-22B-v0.1 |
|---|---|---|---|
| Price | 50% | 66 | 66 |
| Inputs & features | 30% | 25 | 0 |
| Context window | 20% | 36 | 0 |
| Overall | 100% | 48/100 | 33/100 |
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 | CodestralMistral AI | Codestral-22B-v0.1Mistral AI |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.30 | $0.30 |
| Output | $0.90 | $0.90 |
| Cached input | $0.03 | — |
| Blended (3:1) | $0.45 | $0.45 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 1 providers |
| Limits | ||
| Context window | 256,000 tokens (best) | 32,768 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 | No |
| Structured output | No | No |
| Availability | ||
| Weights | Open | OpenMistral AI Non-Production License |
| API model ID | codestral-latest | — |
| API providers | 3 (best) | 1 |
| Released | May 29, 2024 | May 29, 2024 |
| 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-22B-v0.1$4.80
Which should you choose?
Which is better: Codestral or Codestral-22B-v0.1?
Codestral is the better all-round choice, scoring 48/100 against Codestral-22B-v0.1 (33). It leads on inputs & features and context window. 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-22B-v0.1?
Codestral and Codestral-22B-v0.1 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-22B-v0.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral 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 has the largest context window at 256,000 tokens, against 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral up to 4,096, Codestral-22B-v0.1 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Codestral accepts text; Codestral-22B-v0.1 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Mistral AI Non-Production License), so you can self-host them.
Which is newer?
Codestral is the newest, released May 29, 2024. Codestral-22B-v0.1 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 Oct 4, 2026.
Related comparisons
- Add Qwen2.5-VL 7B InstructThree-way comparison
- Codestral vs Qwen2.5-VL 7B InstructAlibaba (Qwen)
- Codestral vs Command RCohere
- Codestral vs Llama-3.2-11B-Vision-InstructMeta
- Codestral vs Llama 3.1 Nemotron 70B InstructNVIDIA
- Codestral-22B-v0.1 vs Qwen2.5-VL 7B InstructAlibaba (Qwen)
- Codestral-22B-v0.1 vs Command RCohere
