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Mistral Small 3.2 24B Instruct vs Qwen4-Max-Preview

Comparing Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview across benchmarks, pricing, and capabilities.

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

Which is better?

Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Small 3.2 24B Instruct

  • you need open weights you can self-host or fine-tune

Choose Qwen4-Max-Preview

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

At a glance

The differences that matter most.

Mistral Small 3.2 24B Instruct
Mistral AI
Qwen4-Max-Preview
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.07 / M
— / M
Output price
$0.20 / M
— / M
Context window
128,000
—

Individual benchmarks

15 reported for Mistral Small 3.2 24B Instruct · 0 for Qwen4-Max-Preview

No common benchmarks found

Mistral Small 3.2 24B Instruct and Qwen4-Max-Previewdon'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

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen4-Max-Preview
Input- tokens
Output- tokens
Thu Nov 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

Qwen4-Max-Preview

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Small 3.2 24B Instruct is licensed under Apache 2.0, while Qwen4-Max-Preview uses a proprietary license.

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

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Qwen4-Max-Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Small 3.2 24B Instruct was released on 2025-06-20, while Qwen4-Max-Preview was released on 2026-11-11.

Qwen4-Max-Preview is 17 months newer than Mistral Small 3.2 24B Instruct.

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.4 years ago

Qwen4-Max-Preview

Nov 11, 2026

1 days ago

1.4yr newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Qwen4-Max-Preview's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen4-Max-Preview's cutoff date.

Mistral Small 3.2 24B Instruct

Oct 2023

Qwen4-Max-Preview

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview side-by-side, then vote on the output you prefer.

Mistral Small 3.2 24B Instruct
✓ Preferred
Qwen4-Max-Preview
Open in Playground

FAQ

Common questions about Mistral Small 3.2 24B Instruct vs Qwen4-Max-Preview.

Which is better, Mistral Small 3.2 24B Instruct or Qwen4-Max-Preview?

Mistral Small 3.2 24B Instruct (Mistral AI) and Qwen4-Max-Preview (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 Mistral Small 3.2 24B Instruct compare to Qwen4-Max-Preview in benchmarks?

Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview?

Mistral Small 3.2 24B Instruct supports 128K tokens and Qwen4-Max-Preview supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview?

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

Who makes Mistral Small 3.2 24B Instruct and Qwen4-Max-Preview?

Mistral Small 3.2 24B Instruct is developed by Mistral AI and Qwen4-Max-Preview is developed by Alibaba Cloud / Qwen Team.

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