Model Comparison

Codestral-22B vs Qwen3.8 MaxWhich is better in 2026?

Comparing Codestral-22B and Qwen3.8 Max across benchmarks, pricing, and capabilities.

Verdict: Codestral-22B vs Qwen3.8 Max — which is better?

Codestral-22B (by Mistral AI) and Qwen3.8 Max (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 need open weights you can self-host or fine-tune

Choose Qwen3.8 Max if…

  • you want the most recent training data — it shipped Aug 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Qwen3.8 Maxdon'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

2377.8B diff

Qwen3.8 Max has 2377.8B more parameters than Codestral-22B, making it 10710.8% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Max
2.4Tparameters
22.2B
Codestral-22B
2400.0B
Qwen3.8 Max

Input Capabilities

Supported data types and modalities

Qwen3.8 Max supports multimodal inputs, whereas Codestral-22B does not.

Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Qwen3.8 Max

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen3.8 Max uses a proprietary license.

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

Codestral-22B

MNPL-0.1

Open weights

Qwen3.8 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen3.8 Max was released on 2026-08-02.

Qwen3.8 Max is 27 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.2 years ago

Qwen3.8 Max

Aug 2, 2026

1 days ago

2.2yr 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→

Key Takeaways

Mistral AI
Has open weights
Alibaba Cloud / Qwen Team

Qwen3.8 Max

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Codestral-22B and Qwen3.8 Max side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Qwen3.8 Max
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Alibaba Cloud / Qwen Team
Qwen3.8 Max

FAQ

Common questions about Codestral-22B vs Qwen3.8 Max.

Which is better, Codestral-22B or Qwen3.8 Max?

Codestral-22B (Mistral AI) and Qwen3.8 Max (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 Qwen3.8 Max in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen3.8 Max scores PaperBench: 93.0%, GPQA: 92.6%, VideoMME w sub.: 90.4%, RealWorldQA: 88.0%, Terminal-Bench 2.1: 86.6%.

What are the main differences between Codestral-22B and Qwen3.8 Max?

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

Who makes Codestral-22B and Qwen3.8 Max?

Codestral-22B is developed by Mistral AI and Qwen3.8 Max is developed by Alibaba Cloud / Qwen Team.

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