Codestral-22B-v0.1 vs Command R+ vs Vision Medium
Vision Medium comes out ahead, 84 to 31 and 0 on our weighted score, though Command R+ is 31% cheaper per token.
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
CohereCommand R+
31/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
VisparkVision Medium
84/100- ECI—
- Price$4.21 / $12.63
- Context1M
Vision Medium is our pick
Vision Medium is the better all-round choice, scoring 84/100 against Command R+ (31) and 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 priceCommand R+Command R+ $4.38 · Vision Medium $6.32 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextVision MediumVision Medium 1,000,000 · Command R+ 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsVision MediumCodestral-22B-v0.1: Text · Command R+: Text · Vision Medium: Text, Images, PDFs, Audio, Video
- Self-hostingCodestral-22B-v0.1 and Command R+Publishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral-22B-v0.1 | Command R+ | Vision Medium |
|---|---|---|---|---|
| Inputs & features | 60% | 0 | 35 | 100 |
| Context window | 40% | 0 | 24 | 60 |
| Overall | 100% | 0/100 | 31/100 | 84/100 |
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-22B-v0.1Mistral AI | Command R+Cohere | Vision MediumVispark |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $2.50 (best) | $4.21 |
| Output | — | $10.00 (best) | $12.63 |
| Cached input | — | — | — |
| Blended (3:1) | — | $4.38 (best) | $6.32 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Cohere API | Official Vispark API |
| Limits | |||
| Context window | 32,768 tokens | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 4,000 tokens | 65,536 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | No | No | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | OpenMistral AI Non-Production License | Open | Proprietary |
| API model ID | — | command-r-plus-08-2024 | vispark/vision-medium |
| API providers | — | 8 (best) | 1 |
| Released | May 29, 2024 | Aug 30, 2024 | May 15, 2024 |
| Knowledge cutoff | — | Jun 1, 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-22B-v0.1—
- Command R+$45.00
- Vision Medium$67.36
Which should you choose?
Which is better: Codestral-22B-v0.1, Command R+ or Vision Medium?
Vision Medium is the better all-round choice, scoring 84/100 against Command R+ (31) and 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-22B-v0.1, Command R+ or Vision Medium?
Command R+ is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). Vision Medium costs $4.21 input / $12.63 output per million tokens (official Vispark API price). At a typical mix of three input tokens to one output token, that is $4.38 per million tokens for Command R+ versus $6.32 for Vision Medium (1.4× as much). Codestral-22B-v0.1 has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Codestral-22B-v0.1 has not been scored yet, Command R+ has not been scored yet and Vision Medium has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral-22B-v0.1, Command R+ and Vision Medium 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?
Vision Medium has the largest context window at 1,000,000 tokens, against 128,000 for Command R+ and 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral-22B-v0.1 up to 8,192, Command R+ up to 4,000, Vision Medium up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 accepts text; Command R+ accepts text; Vision Medium accepts text, images, PDFs, audio and video. Vision Medium handles the widest range of inputs.
Are any of these open source?
Codestral-22B-v0.1 and Command R+ publishes its weights (Mistral AI Non-Production License) and can be self-hosted; Vision Medium is proprietary.
Which is newer?
Command R+ is the newest, released Aug 30, 2024. Codestral-22B-v0.1 came out May 29, 2024; Vision Medium came out May 15, 2024. Knowledge cutoff: Command R+ Jun 1, 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.
