Model Comparison

Ministral 3 (8B Instruct 2512) vs Qwen2.5 VL 32B InstructWhich is better in 2026?

Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks.

Verdict: Ministral 3 (8B Instruct 2512) vs Qwen2.5 VL 32B Instruct — which is better?

Ministral 3 (8B Instruct 2512) (by Mistral AI) and Qwen2.5 VL 32B Instruct (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 (8B Instruct 2512) outperforms in 1 benchmarks (MATH), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks. Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks.

Choose Ministral 3 (8B Instruct 2512) if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2025

Choose Qwen2.5 VL 32B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (8B Instruct 2512) outperforms in 1 benchmarks (MATH), while Qwen2.5 VL 32B Instruct is better at 0 benchmarks.

Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks.

Mon Jun 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

25.5B diff

Qwen2.5 VL 32B Instruct has 25.5B more parameters than Ministral 3 (8B Instruct 2512), making it 318.8% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
8.0B
Ministral 3 (8B Instruct 2512)
33.5B
Qwen2.5 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Both Ministral 3 (8B Instruct 2512) and Qwen2.5 VL 32B Instruct support multimodal inputs.

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

Ministral 3 (8B Instruct 2512)

Text
Images
Audio
Video

Qwen2.5 VL 32B Instruct

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 (8B Instruct 2512)

Apache 2.0

Open weights

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Qwen2.5 VL 32B Instruct was released on 2025-02-28.

Ministral 3 (8B Instruct 2512) is 9 months newer than Qwen2.5 VL 32B Instruct.

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

6 months ago

9mo newer
Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.3 years 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

Higher MATH score (87.6% vs 82.2%)
Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

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

Detailed Comparison

FAQ

Common questions about Ministral 3 (8B Instruct 2512) vs Qwen2.5 VL 32B Instruct.

Which is better, Ministral 3 (8B Instruct 2512) or Qwen2.5 VL 32B Instruct?

Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Instruct 2512) is made by Mistral AI and Qwen2.5 VL 32B Instruct 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 (8B Instruct 2512) compare to Qwen2.5 VL 32B Instruct in benchmarks?

Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%.

Who makes Ministral 3 (8B Instruct 2512) and Qwen2.5 VL 32B Instruct?

Ministral 3 (8B Instruct 2512) is developed by Mistral AI and Qwen2.5 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.