Model Comparison

Ministral 3 (8B Instruct 2512) vs Qwen3 VL 30B A3B ThinkingWhich is better in 2026?

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

Verdict: Ministral 3 (8B Instruct 2512) vs Qwen3 VL 30B A3B Thinking — which is better?

Ministral 3 (8B Instruct 2512) (by Mistral AI) and Qwen3 VL 30B A3B 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 (8B Instruct 2512) outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 30B A3B Thinking 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 Qwen3 VL 30B A3B Thinking if…

  • you want predictable pricing at $0.20/M input and $0.99/M output

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Ministral 3 (8B Instruct 2512) outperforms in 1 benchmarks (MM-MT-Bench), while Qwen3 VL 30B A3B Thinking is better at 0 benchmarks.

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

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

23.0B diff

Qwen3 VL 30B A3B Thinking has 23.0B more parameters than Ministral 3 (8B Instruct 2512), making it 287.5% larger.

Mistral AI
Ministral 3 (8B Instruct 2512)
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
8.0B
Ministral 3 (8B Instruct 2512)
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Mistral AI
Ministral 3 (8B Instruct 2512)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Wed Jun 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Ministral 3 (8B Instruct 2512) and Qwen3 VL 30B A3B Thinking 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

Qwen3 VL 30B A3B 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 (8B Instruct 2512)

Apache 2.0

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Ministral 3 (8B Instruct 2512) was released on 2025-12-04, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Ministral 3 (8B Instruct 2512) is 2 months newer than Qwen3 VL 30B A3B Thinking.

Ministral 3 (8B Instruct 2512)

Dec 4, 2025

6 months ago

2mo newer
Qwen3 VL 30B A3B Thinking

Sep 22, 2025

9 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 (8.1% vs 7.9%)
Alibaba Cloud / Qwen Team

Qwen3 VL 30B A3B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Detailed Comparison

FAQ

Common questions about Ministral 3 (8B Instruct 2512) vs Qwen3 VL 30B A3B Thinking.

Which is better, Ministral 3 (8B Instruct 2512) or Qwen3 VL 30B A3B Thinking?

Ministral 3 (8B Instruct 2512) significantly outperforms across most benchmarks. Ministral 3 (8B Instruct 2512) is made by Mistral AI and Qwen3 VL 30B A3B 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 (8B Instruct 2512) compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Ministral 3 (8B Instruct 2512) scores MATH: 87.6%, Wild Bench: 66.8%, Arena Hard: 50.9%, MM-MT-Bench: 8.1%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Ministral 3 (8B Instruct 2512) and Qwen3 VL 30B A3B Thinking?

Ministral 3 (8B Instruct 2512) supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Ministral 3 (8B Instruct 2512) and Qwen3 VL 30B A3B Thinking?

Ministral 3 (8B Instruct 2512) is developed by Mistral AI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.