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Ministral 3 (14B Reasoning 2512) vs QwQ-32B

Ministral 3 (14B Reasoning 2512) and QwQ-32B are closely matched at 20.6 and 14.8 on the LLM Stats Score.

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

Which is better?

Ministral 3 (14B Reasoning 2512) and QwQ-32B are closely matched on the overall LLM Stats Score at 20.6 and 14.8.

In the 3 individual benchmarks reported for both models, Ministral 3 (14B Reasoning 2512) wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Ministral 3 (14B Reasoning 2512)

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2025

Choose QwQ-32B

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

At a glance

The differences that matter most.

Core performance indexes
20.6
#192
14.8
#231
20.6
#183
15.6
#222
11.1
#159
10.3
#163
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.20 / M
— / M
Output price
$0.20 / M
— / M
Context window
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Ministral 3 (14B Reasoning 2512)
QwQ-32B
21.1#151
18.1#186
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 7 for QwQ-32B

3 shared

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.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

9 months ago

9mo newer
QwQ-32B

Mar 5, 2025

1.5 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

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

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) and QwQ-32B are closely matched on the LLM Stats Score at 20.6 and 14.8. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (20.6 vs 14.8), 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.