Model Comparison

Ministral 3 (14B Reasoning 2512) vs QwQ-32BWhich is better in 2026?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Verdict: Ministral 3 (14B Reasoning 2512) vs QwQ-32B — which is better?

Ministral 3 (14B Reasoning 2512) (by Mistral AI) and QwQ-32B (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.

Ministral 3 (14B Reasoning 2512) outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while QwQ-32B is better at 0 benchmarks. Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Choose Ministral 3 (14B Reasoning 2512) if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose QwQ-32B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Ministral 3 (14B Reasoning 2512) outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while QwQ-32B is better at 0 benchmarks.

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

18.5B diff

QwQ-32B has 18.5B more parameters than Ministral 3 (14B Reasoning 2512), making it 132.1% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Ministral 3 (14B Reasoning 2512) specifies input context (262,100 tokens). Only Ministral 3 (14B Reasoning 2512) specifies output context (262,100 tokens).

Mistral AI
Ministral 3 (14B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (14B Reasoning 2512) supports multimodal inputs, whereas QwQ-32B does not.

Ministral 3 (14B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

QwQ-32B

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Ministral 3 (14B Reasoning 2512)

Apache 2.0

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while QwQ-32B was released on 2025-03-05.

Ministral 3 (14B Reasoning 2512) is 9 months newer than QwQ-32B.

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

7 months ago

9mo newer
QwQ-32B

Mar 5, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Ministral 3 (14B Reasoning 2512)'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 Ministral 3 (14B Reasoning 2512)'s cutoff date.

Ministral 3 (14B Reasoning 2512)

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,100 tokens)
Supports multimodal inputs
Higher AIME 2024 score (89.8% vs 79.5%)
Higher GPQA score (71.2% vs 65.2%)
Higher LiveCodeBench score (64.6% vs 63.4%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and QwQ-32B side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
QwQ-32B
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Reasoning 2512)
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs QwQ-32B.

Which is better, Ministral 3 (14B Reasoning 2512) or QwQ-32B?

Ministral 3 (14B Reasoning 2512) significantly outperforms across most benchmarks. Ministral 3 (14B Reasoning 2512) 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 benchmark scores, pricing, and capabilities above.

How does Ministral 3 (14B Reasoning 2512) compare to QwQ-32B in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. 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 Ministral 3 (14B Reasoning 2512) and QwQ-32B?

Ministral 3 (14B Reasoning 2512) supports 262K 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 Ministral 3 (14B Reasoning 2512) and QwQ-32B?

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

Who makes Ministral 3 (14B Reasoning 2512) and QwQ-32B?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and QwQ-32B is developed by Alibaba Cloud / Qwen Team.