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Magistral Medium vs Qwen3 VL 30B A3B Instruct

Magistral Medium and Qwen3 VL 30B A3B Instruct are closely matched at 13.1 and 16.4 on the LLM Stats Score.

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

Which is better?

Magistral Medium and Qwen3 VL 30B A3B Instruct are closely matched on the overall LLM Stats Score at 13.1 and 16.4.

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 Magistral Medium

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3 VL 30B A3B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
13.1
#263
16.4
#239
13.3
#254
15.0
#242
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$0.60 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Medium
Qwen3 VL 30B A3B Instruct
11.4#248
16.5#208
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Magistral Medium · 50 for Qwen3 VL 30B A3B Instruct

2 shared

Magistral Medium outperforms in 1 benchmarks (GPQA), while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (AIME 2025).

Both models are evenly matched across the benchmarks.

Wed Oct 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

7.0B diff

Qwen3 VL 30B A3B Instruct has 7.0B more parameters than Magistral Medium, making it 29.2% larger.

Mistral AI
Magistral Medium
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
31.0Bparameters
24.0B
Magistral Medium
31.0B
Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 30B A3B Instruct specifies output context (262,144 tokens).

Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Instruct
Input262,144 tokens
Output262,144 tokens
Wed Oct 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Magistral Medium and Qwen3 VL 30B A3B Instruct support multimodal inputs.

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

Magistral Medium

Text
Images
Audio
Video

Qwen3 VL 30B A3B 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 Medium

Apache 2.0

Open weights

Qwen3 VL 30B A3B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Medium was released on 2025-06-10, while Qwen3 VL 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 3 months newer than Magistral Medium.

Magistral Medium

Jun 10, 2025

1.3 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

1.1 years ago

3mo newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Qwen3 VL 30B A3B Instruct's cutoff date is not specified.

We can confirm Magistral Medium's training data extends to 2025-06-01, but cannot make a direct comparison without Qwen3 VL 30B A3B Instruct's cutoff date.

Magistral Medium

Jun 2025

Qwen3 VL 30B A3B Instruct

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Magistral Medium and Qwen3 VL 30B A3B Instruct side-by-side, then vote on the output you prefer.

Magistral Medium
✓ Preferred
Qwen3 VL 30B A3B Instruct
Open in Playground

FAQ

Common questions about Magistral Medium vs Qwen3 VL 30B A3B Instruct.

Which is better, Magistral Medium or Qwen3 VL 30B A3B Instruct?

Magistral Medium and Qwen3 VL 30B A3B Instruct are closely matched on the LLM Stats Score at 13.1 and 16.4. Magistral Medium is made by Mistral AI and Qwen3 VL 30B A3B Instruct 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 Magistral Medium compare to Qwen3 VL 30B A3B Instruct in benchmarks?

Magistral Medium scores AIME 2024: 73.6%, GPQA: 70.8%, AIME 2025: 64.9%, LiveCodeBench: 50.3%, Aider-Polyglot: 47.1%. Qwen3 VL 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

What are the context window sizes for Magistral Medium and Qwen3 VL 30B A3B Instruct?

Magistral Medium supports an unknown number of tokens and Qwen3 VL 30B A3B 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 Medium and Qwen3 VL 30B A3B Instruct?

Key differences include LLM Stats Score (13.1 vs 16.4). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Medium and Qwen3 VL 30B A3B Instruct?

Magistral Medium is developed by Mistral AI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.