Model Comparison

Codestral-22B vs Qwen3 VL 30B A3B InstructWhich is better in 2026?

Comparing Codestral-22B and Qwen3 VL 30B A3B Instruct across benchmarks, pricing, and capabilities.

Verdict: Codestral-22B vs Qwen3 VL 30B A3B Instruct — which is better?

Codestral-22B (by Mistral AI) and Qwen3 VL 30B A3B 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 Qwen3 VL 30B A3B Instruct if…

  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Qwen3 VL 30B A3B Instructdon'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

8.8B diff

Qwen3 VL 30B A3B Instruct has 8.8B more parameters than Codestral-22B, making it 39.6% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
22.2B
Codestral-22B
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Instruct specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (32,768 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input131,072 tokens
Output32,768 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Codestral-22B does not.

Qwen3 VL 30B A3B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Qwen3 VL 30B A3B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Qwen3 VL 30B A3B Instruct 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 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 16 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.1 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

9 months ago

1.3yr 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

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

Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Codestral-22B and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Qwen3 VL 30B A3B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Codestral-22B vs Qwen3 VL 30B A3B Instruct.

Which is better, Codestral-22B or Qwen3 VL 30B A3B Instruct?

Codestral-22B (Mistral AI) and Qwen3 VL 30B A3B 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 Qwen3 VL 30B A3B Instruct in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

What are the context window sizes for Codestral-22B and Qwen3 VL 30B A3B Instruct?

Codestral-22B supports an unknown number of tokens and Qwen3 VL 30B A3B 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 Qwen3 VL 30B A3B Instruct?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Qwen3 VL 30B A3B Instruct?

Codestral-22B is developed by Mistral AI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.

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