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Codestral-22B vs Qwen2.5 VL 72B Instruct

Codestral-22B and Qwen2.5 VL 72B Instruct are closely matched at 0.1 and 12.8 on the LLM Stats Score.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Codestral-22B and Qwen2.5 VL 72B Instruct are closely matched on the overall LLM Stats Score at 0.1 and 12.8.

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 72B Instruct

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
0.1
#314
12.8
#238
Reasoning
-0.0
#307
12.9
#229
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 30 for Qwen2.5 VL 72B Instruct

No common benchmarks found

Codestral-22B and Qwen2.5 VL 72B Instructdon'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

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

Documented input modalities across available providers

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

2.3 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.6 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

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground

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 and Qwen2.5 VL 72B Instruct are closely matched on the LLM Stats Score at 0.1 and 12.8. Codestral-22B is made by Mistral AI and Qwen2.5 VL 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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 LLM Stats Score (0.1 vs 12.8), 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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