The AI arena is free today

Open Superagent

Mistral Large 4 vs QwQ-32B

Mistral Large 4 leads the LLM Stats Score 46.2 to 14.7.

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

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 14.7, ranking #34 overall.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose QwQ-32B

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

At a glance

The differences that matter most.

Core performance indexes
46.2
#34
14.7
#248
44.0
#43
15.5
#239
35.8
#27
10.2
#178
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Individual benchmarks

18 reported for Mistral Large 4 · 7 for QwQ-32B

No common benchmarks found

Mistral Large 4 and QwQ-32Bdon'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

Model Size

Parameter count comparison

1017.5B diff

Mistral Large 4 has 1017.5B more parameters than QwQ-32B, making it 3130.8% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
1050.0B
Mistral Large 4
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Fri Oct 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas QwQ-32B does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while QwQ-32B uses Apache 2.0.

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

Mistral Large 4

Proprietary

Closed source

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while QwQ-32B was released on 2025-03-05.

Mistral Large 4 is 19 months newer than QwQ-32B.

Mistral Large 4

Oct 6, 2026

3 days ago

1.6yr newer
QwQ-32B

Mar 5, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Mistral Large 4's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without Mistral Large 4's cutoff date.

Mistral Large 4

—

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and QwQ-32B side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
QwQ-32B
Open in Playground

FAQ

Common questions about Mistral Large 4 vs QwQ-32B.

Which is better, Mistral Large 4 or QwQ-32B?

Mistral Large 4 leads the LLM Stats Score 46.2 to 14.7. Mistral Large 4 is made by Mistral AI and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 4 compare to QwQ-32B in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for Mistral Large 4 and QwQ-32B?

Mistral Large 4 supports 1.0M tokens and QwQ-32B 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 Large 4 and QwQ-32B?

Key differences include LLM Stats Score (46.2 vs 14.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and QwQ-32B?

Mistral Large 4 is developed by Mistral AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.