Vision Large vs Codestral-22B-v0.1 vs Command R+
Vision Large comes out ahead, 84 to 31 and 0 on our weighted score, though Command R+ is 2.5× cheaper per token.
- Our pick
VisparkVision Large
84/100- ECI—
- Price$7.37 / $22.11
- Context1M
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
CohereCommand R+
31/100- ECI—
- Price$2.50 / $10.00
- Context128K
Vision Large is our pick
Vision Large 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 Large $11.05 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextVision LargeVision Large 1,000,000 · Command R+ 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsVision LargeVision Large: Text, Images, PDFs, Audio, Video · Codestral-22B-v0.1: Text · Command R+: Text
- Self-hostingCodestral-22B-v0.1 and Command R+Publishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Vision Large | Codestral-22B-v0.1 | Command R+ |
|---|---|---|---|---|
| Inputs & features | 60% | 100 | 0 | 35 |
| Context window | 40% | 60 | 0 | 24 |
| Overall | 100% | 84/100 | 0/100 | 31/100 |
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 | Vision LargeVispark | Codestral-22B-v0.1Mistral AI | Command R+Cohere |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $7.37 | — | $2.50 (best) |
| Output | $22.11 | — | $10.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $11.05 | — | $4.38 (best) |
| Long-context rate | Same rate | — | Same rate |
| Price source | Official Vispark API | — | Official Cohere API |
| Limits | |||
| Context window | 1,000,000 tokens (best) | 32,768 tokens | 128,000 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens | 4,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | Proprietary | OpenMistral AI Non-Production License | Open |
| API model ID | vispark/vision-large | — | command-r-plus-08-2024 |
| API providers | 1 | — | 8 (best) |
| Released | May 15, 2024 | May 29, 2024 | Aug 30, 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.
- Vision Large$117.92
- Codestral-22B-v0.1—
- Command R+$45.00
Which should you choose?
Which is better: Vision Large, Codestral-22B-v0.1 or Command R+?
Vision Large 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, Vision Large, Codestral-22B-v0.1 or Command R+?
Command R+ is cheaper at $2.50 input / $10.00 output per million tokens (official Cohere API price). Vision Large costs $7.37 input / $22.11 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 $11.05 for Vision Large (2.5× 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. Vision Large has not been scored yet, Codestral-22B-v0.1 has not been scored yet and Command R+ has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Vision Large, Codestral-22B-v0.1 and Command R+ 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 Large 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: Vision Large up to 65,536, Codestral-22B-v0.1 up to 8,192, Command R+ up to 4,000 tokens.
Which can read images, PDFs, audio or video?
Vision Large accepts text, images, PDFs, audio and video; Codestral-22B-v0.1 accepts text; Command R+ accepts text. Vision Large 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 Large is proprietary.
Which is newer?
Command R+ is the newest, released Aug 30, 2024. Codestral-22B-v0.1 came out May 29, 2024; Vision Large 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.
