Model Comparison

Codestral-22B vs Qwen3 235B A22B

Qwen3 235B A22B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Qwen3 235B A22B is better at 1 benchmark (MBPP).

Qwen3 235B A22B significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

212.8B diff

Qwen3 235B A22B has 212.8B more parameters than Codestral-22B, making it 958.6% larger.

Codestral-22B

22.2Bparameters

Qwen3 235B A22B

235.0Bparameters

22.2B

Codestral-22B

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Codestral-22B

Input- tokens

Output- tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Fri May 29 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen3 235B A22B uses Apache 2.0.

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

Codestral-22B

MNPL-0.1

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 11 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Qwen3 235B A22B

Apr 29, 2025

1.1 years ago

11mo 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.

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Higher MBPP score (81.4% vs 78.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Codestral-22B	Qwen3 235B A22B

FAQ

Common questions about Codestral-22B vs Qwen3 235B A22B.

Which is better, Codestral-22B or Qwen3 235B A22B?

Qwen3 235B A22B significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Qwen3 235B A22B 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 Qwen3 235B A22B in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

What are the context window sizes for Codestral-22B and Qwen3 235B A22B?

Codestral-22B supports an unknown number of tokens and Qwen3 235B A22B supports 128K 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 Qwen3 235B A22B?

Key differences include licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Qwen3 235B A22B?

Codestral-22B is developed by Mistral AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.