Codestral-22B vs Qwen2.5 VL 32B Instruct
Codestral-22B and Qwen2.5 VL 32B Instruct are closely matched at 0.0 and 9.7 on the LLM Stats Score.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Codestral-22B and Qwen2.5 VL 32B Instruct are closely matched on the overall LLM Stats Score at 0.0 and 9.7.
In the 2 individual benchmarks reported for both models, Qwen2.5 VL 32B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
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 Qwen2.5 VL 32B Instruct
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Feb 2025
At a glance
The differences that matter most.
Individual benchmarks
7 reported for Codestral-22B · 28 for Qwen2.5 VL 32B Instruct
Codestral-22B outperforms in 0 benchmarks, while Qwen2.5 VL 32B Instruct is better at 2 benchmarks (HumanEval, MBPP).
Qwen2.5 VL 32B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 VL 32B Instruct has 11.3B more parameters than Codestral-22B, making it 50.9% larger.
Input capabilities
Documented input modalities across available providers
Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Codestral-22B does not.
Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Codestral-22B
Qwen2.5 VL 32B Instruct
License
Usage and distribution terms
Codestral-22B is licensed under MNPL-0.1, while Qwen2.5 VL 32B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MNPL-0.1
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Codestral-22B was released on 2024-05-29, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.
Qwen2.5 VL 32B Instruct is 9 months newer than Codestral-22B.
May 29, 2024
2.3 years ago
Feb 28, 2025
1.5 years ago
9mo 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 Qwen2.5 VL 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Codestral-22B vs Qwen2.5 VL 32B Instruct.