Model Comparison

Codestral-22B vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Comparing Codestral-22B and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Verdict: Codestral-22B vs Qwen2.5 VL 72B Instruct — which is better?

Codestral-22B (by Mistral AI) and Qwen2.5 VL 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Codestral-22B if…

  • you are already invested in the Mistral AI ecosystem

Choose Qwen2.5 VL 72B Instruct if…

  • you want the most recent training data — it shipped Jan 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Qwen2.5 VL 72B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

49.8B diff

Qwen2.5 VL 72B Instruct has 49.8B more parameters than Codestral-22B, making it 224.3% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
22.2B
Codestral-22B
72.0B
Qwen2.5 VL 72B Instruct

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Codestral-22B does not.

Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen2.5 VL 72B Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 8 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.4 years ago

8mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Mistral AI

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about Codestral-22B vs Qwen2.5 VL 72B Instruct.

Which is better, Codestral-22B or Qwen2.5 VL 72B Instruct?

Codestral-22B (Mistral AI) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to Qwen2.5 VL 72B Instruct in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the main differences between Codestral-22B and Qwen2.5 VL 72B Instruct?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Qwen2.5 VL 72B Instruct?

Codestral-22B is developed by Mistral AI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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