Model Comparison

MiniStral 3 (14B Instruct 2512) vs Qwen3 VL 32B InstructWhich is better in 2026?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Verdict: MiniStral 3 (14B Instruct 2512) vs Qwen3 VL 32B Instruct — which is better?

MiniStral 3 (14B Instruct 2512) (by Mistral AI) and Qwen3 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 (14B Instruct 2512) outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 32B Instruct is better at 0 benchmarks. MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Choose MiniStral 3 (14B 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 Qwen3 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 (14B Instruct 2512) outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

19.0B diff

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

Mistral AI
MiniStral 3 (14B Instruct 2512)
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
14.0B
MiniStral 3 (14B Instruct 2512)
33.0B
Qwen3 VL 32B Instruct

Input Capabilities

Supported data types and modalities

Both MiniStral 3 (14B Instruct 2512) and Qwen3 VL 32B Instruct support multimodal inputs.

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

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

Qwen3 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 (14B Instruct 2512)

Apache 2.0

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

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

MiniStral 3 (14B Instruct 2512) is 2 months newer than Qwen3 VL 32B Instruct.

MiniStral 3 (14B Instruct 2512)

Dec 4, 2025

6 months ago

2mo newer
Qwen3 VL 32B Instruct

Sep 22, 2025

8 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

Higher MM-MT-Bench score (8.5% vs 8.4%)
Alibaba Cloud / Qwen Team

Qwen3 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 (14B Instruct 2512) vs Qwen3 VL 32B Instruct.

Which is better, MiniStral 3 (14B Instruct 2512) or Qwen3 VL 32B Instruct?

MiniStral 3 (14B Instruct 2512) significantly outperforms across most benchmarks. MiniStral 3 (14B Instruct 2512) is made by Mistral AI and Qwen3 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 (14B Instruct 2512) compare to Qwen3 VL 32B Instruct in benchmarks?

MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

Who makes MiniStral 3 (14B Instruct 2512) and Qwen3 VL 32B Instruct?

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