Codestral-22B vs DeepSeek VL2
Codestral-22B and DeepSeek VL2 are closely matched at -0.5 and 2.3 on the LLM Stats Score.
Mistral AI · DeepSeek · Updated for 2026
Which is better?
Codestral-22B and DeepSeek VL2 are closely matched on the overall LLM Stats Score at -0.5 and 2.3.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Codestral-22B
- you are already invested in the Mistral AI ecosystem
Choose DeepSeek VL2
- you want the most recent training data — it shipped Dec 2024
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 14 for DeepSeek VL2
Codestral-22B and DeepSeek VL2don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
DeepSeek VL2 has 4.8B more parameters than Codestral-22B, making it 21.6% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 supports multimodal inputs, whereas Codestral-22B does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
DeepSeek VL2
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while DeepSeek VL2 uses deepseek.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
deepseek
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while DeepSeek VL2 was released on 2024-12-13.
DeepSeek VL2 is 7 months newer than Codestral-22B.
May 29, 2024
2.4 years ago
Dec 13, 2024
1.9 years ago
6mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Codestral-22B and DeepSeek VL2 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs DeepSeek VL2.