Model Comparison

Magistral Small 2506 vs Qwen3 VL 4B InstructWhich is better in 2026?

Magistral Small 2506 significantly outperforms across most benchmarks.

Verdict: Magistral Small 2506 vs Qwen3 VL 4B Instruct — which is better?

Magistral Small 2506 (by Mistral AI) and Qwen3 VL 4B 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.

Magistral Small 2506 outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 4B Instruct is better at 0 benchmarks. Magistral Small 2506 significantly outperforms across most benchmarks.

Choose Magistral Small 2506 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Qwen3 VL 4B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Magistral Small 2506 outperforms in 1 benchmarks (AIME 2025), while Qwen3 VL 4B Instruct is better at 0 benchmarks.

Magistral Small 2506 significantly outperforms across most benchmarks.

Tue Jun 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

20.0B diff

Magistral Small 2506 has 20.0B more parameters than Qwen3 VL 4B Instruct, making it 500.0% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
4.0Bparameters
24.0B
Magistral Small 2506
4.0B
Qwen3 VL 4B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct
Input262,144 tokens
Output262,144 tokens
Tue Jun 23 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 4B Instruct supports multimodal inputs, whereas Magistral Small 2506 does not.

Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Small 2506

Text
Images
Audio
Video

Qwen3 VL 4B 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.

Magistral Small 2506

Apache 2.0

Open weights

Qwen3 VL 4B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3 VL 4B Instruct was released on 2025-09-22.

Qwen3 VL 4B Instruct is 3 months newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.0 years ago

Qwen3 VL 4B Instruct

Sep 22, 2025

9 months ago

3mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3 VL 4B Instruct's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Qwen3 VL 4B Instruct's cutoff date.

Magistral Small 2506

Jun 2025

Qwen3 VL 4B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher AIME 2025 score (62.8% vs 46.6%)
Alibaba Cloud / Qwen Team

Qwen3 VL 4B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Magistral Small 2506
Alibaba Cloud / Qwen Team
Qwen3 VL 4B Instruct

FAQ

Common questions about Magistral Small 2506 vs Qwen3 VL 4B Instruct.

Which is better, Magistral Small 2506 or Qwen3 VL 4B Instruct?

Magistral Small 2506 significantly outperforms across most benchmarks. Magistral Small 2506 is made by Mistral AI and Qwen3 VL 4B 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 Magistral Small 2506 compare to Qwen3 VL 4B Instruct in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3 VL 4B Instruct scores DocVQAtest: 95.3%, ScreenSpot: 94.0%, OCRBench: 88.1%, MMBench-V1.1: 85.1%, AI2D: 84.1%.

What are the context window sizes for Magistral Small 2506 and Qwen3 VL 4B Instruct?

Magistral Small 2506 supports an unknown number of tokens and Qwen3 VL 4B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Magistral Small 2506 and Qwen3 VL 4B Instruct?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Qwen3 VL 4B Instruct?

Magistral Small 2506 is developed by Mistral AI and Qwen3 VL 4B Instruct is developed by Alibaba Cloud / Qwen Team.