Model Comparison

Codestral-22B vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 2 benchmarks (HumanEval, MBPP).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Mon May 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

50.5B diff

Qwen2.5 72B Instruct has 50.5B more parameters than Codestral-22B, making it 227.5% larger.

Codestral-22B

22.2Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

22.2B

Codestral-22B

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Codestral-22B

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Mon May 25 2026 • llm-stats.com

License

Usage and distribution terms

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

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 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 4 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.7 years ago

3mo 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

Codestral-22B

View details

Mistral AI

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

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher HumanEval score (86.6% vs 81.1%)

Higher MBPP score (88.2% vs 78.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Codestral-22B	Qwen2.5 72B Instruct

FAQ

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

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

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Codestral-22B compare to Qwen2.5 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 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Codestral-22B and Qwen2.5 72B Instruct?

Codestral-22B supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include licensing (MNPL-0.1 vs Qwen). See the full comparison above for benchmark-by-benchmark results.

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

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