Codestral-22B-v0.1 vs Palmyra X4 vs Vision Large
Vision Large comes out ahead, 84 to 31 and 0 on our weighted score, though Palmyra X4 is 2.5× cheaper per token.
Mistral AICodestral-22B-v0.1
0/100- ECI—
- Price—
- Context33K
Writer
Palmyra X4
31/100- ECI—
- Price$2.50 / $10.00
- Context128K
- Our pick
VisparkVision Large
84/100- ECI—
- Price$7.37 / $22.11
- Context1M
Vision Large is our pick
Vision Large is the better all-round choice, scoring 84/100 against Palmyra X4 (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 pricePalmyra X4Palmyra X4 $4.38 · Vision Large $11.05 per 1M tokens (3:1 blend) · Codestral-22B-v0.1 unpriced
- Longest contextVision LargeVision Large 1,000,000 · Palmyra X4 128,000 · Codestral-22B-v0.1 32,768 tokens
- Widest inputsVision LargeCodestral-22B-v0.1: Text · Palmyra X4: Text · Vision Large: Text, Images, PDFs, Audio, Video
- Self-hostingCodestral-22B-v0.1Publishes downloadable weights (Mistral AI Non-Production License)
| Measure | Weight | Codestral-22B-v0.1 | Palmyra X4 | Vision Large |
|---|---|---|---|---|
| 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 | Palmyra X4Writer | Vision LargeVispark |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $2.50 (best) | $7.37 |
| Output | — | $10.00 (best) | $22.11 |
| Cached input | — | — | — |
| Blended (3:1) | — | $4.38 (best) | $11.05 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 2 providers | Official Vispark API |
| Limits | |||
| Context window | 32,768 tokens | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 8,192 tokens | 4,096 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 | Yes | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | OpenMistral AI Non-Production License | Proprietary | Proprietary |
| API model ID | — | — | vispark/vision-large |
| API providers | — | 2 (best) | 1 |
| Released | May 29, 2024 | Oct 9, 2024 | May 15, 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-22B-v0.1—
- Palmyra X4$45.00
- Vision Large$117.92
Which should you choose?
Which is better: Codestral-22B-v0.1, Palmyra X4 or Vision Large?
Vision Large is the better all-round choice, scoring 84/100 against Palmyra X4 (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, Palmyra X4 or Vision Large?
Palmyra X4 is cheaper at $2.50 input / $10.00 output per million tokens (median across 2 API providers). 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 Palmyra X4 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. Codestral-22B-v0.1 has not been scored yet, Palmyra X4 has not been scored yet and Vision Large has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Codestral-22B-v0.1, Palmyra X4 and Vision Large 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 Palmyra X4 and 32,768 for Codestral-22B-v0.1. Maximum output per response: Codestral-22B-v0.1 up to 8,192, Palmyra X4 up to 4,096, Vision Large up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Codestral-22B-v0.1 accepts text; Palmyra X4 accepts text; Vision Large accepts text, images, PDFs, audio and video. Vision Large handles the widest range of inputs.
Are any of these open source?
Codestral-22B-v0.1 publishes its weights (Mistral AI Non-Production License) and can be self-hosted; Palmyra X4 and Vision Large is proprietary.
Which is newer?
Palmyra X4 is the newest, released Oct 9, 2024. Codestral-22B-v0.1 came out May 29, 2024; Vision Large came out May 15, 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.
