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Ministral 3 (14B Reasoning 2512) vs Qwen3 VL 32B Thinking

Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking are closely matched at 20.6 and 23.6 on the LLM Stats Score.

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

Which is better?

Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 20.6 and 23.6.

The models split the 2 individual benchmarks reported for both models evenly.

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

Choose Ministral 3 (14B Reasoning 2512)

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

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Ministral 3 (14B Reasoning 2512)
Mistral AI
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
20.6
#192
23.6
#173
Reasoning
20.6
#183
24.7
#153
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
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)
Qwen3 VL 32B Thinking
Math
21.1#151
25.4#110
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Ministral 3 (14B Reasoning 2512) · 47 for Qwen3 VL 32B Thinking

2 shared

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.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

9 months ago

2mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

11 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→

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

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?

Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking are closely matched on the LLM Stats Score at 20.6 and 23.6. 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 capability indexes, individual benchmarks, pricing, and limits 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.

What are the main differences between Ministral 3 (14B Reasoning 2512) and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (20.6 vs 23.6). See the full comparison above for benchmark-by-benchmark results.

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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