Model Comparison

Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Both models are evenly matched across the benchmarks.

Verdict: Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 32B Thinking — which is better?

Ministral 3 (14B Reasoning 2512) (by Mistral AI) and Qwen3 VL 32B Thinking (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 1 benchmarks (AIME 2025), while Qwen3 VL 32B Thinking is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

Choose Ministral 3 (14B Reasoning 2512) if…

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

Choose Qwen3 VL 32B Thinking if…

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

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Ministral 3 (14B Reasoning 2512) outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 32B Thinking is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

19.0B diff

Qwen3 VL 32B Thinking has 19.0B more parameters than Ministral 3 (14B Reasoning 2512), making it 135.7% larger.

Mistral AI
Ministral 3 (14B Reasoning 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
14.0B
Ministral 3 (14B Reasoning 2512)
33.0B
Qwen3 VL 32B Thinking

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
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking support multimodal inputs.

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

Ministral 3 (14B Reasoning 2512)

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

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

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (14B Reasoning 2512) was released on 2025-12-04, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Ministral 3 (14B Reasoning 2512) is 2 months newer than Qwen3 VL 32B Thinking.

Ministral 3 (14B Reasoning 2512)

Dec 4, 2025

7 months ago

2mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

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
Larger context window (262,100 tokens)
Higher AIME 2025 score (85.0% vs 83.7%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (73.1% vs 71.2%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Ministral 3 (14B Reasoning 2512)
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Ministral 3 (14B Reasoning 2512)
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 32B Thinking.

Which is better, Ministral 3 (14B Reasoning 2512) or Qwen3 VL 32B Thinking?

Both models are evenly matched across the benchmarks. Ministral 3 (14B Reasoning 2512) is made by Mistral AI and Qwen3 VL 32B Thinking 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 Qwen3 VL 32B Thinking in benchmarks?

Ministral 3 (14B Reasoning 2512) scores AIME 2024: 89.8%, AIME 2025: 85.0%, GPQA: 71.2%, LiveCodeBench: 64.6%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking?

Ministral 3 (14B Reasoning 2512) supports 262K tokens and Qwen3 VL 32B Thinking supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking?

Ministral 3 (14B Reasoning 2512) is developed by Mistral AI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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