The AI arena is free today

Open Superagent

Magistral Medium vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 13.1.

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

Which is better?

Qwen3 VL 235B A22B Thinking leads the overall LLM Stats Score 26.7 to 13.1, ranking #151 overall.

In the 2 individual benchmarks reported for both models, Qwen3 VL 235B A22B Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

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 235B A22B Thinking

  • overall performance matters — it scores 26.7 and ranks #151 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
13.1
#250
26.7
#151
13.3
#241
26.9
#145
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.45 / M
Output price
— / M
$3.49 / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Medium
Qwen3 VL 235B A22B Thinking
11.4#242
29.6#82
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Magistral Medium · 67 for Qwen3 VL 235B A22B Thinking

2 shared

Magistral Medium outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 2 benchmarks (AIME 2025, Humanity's Last Exam).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

212.0B diff

Qwen3 VL 235B A22B Thinking has 212.0B more parameters than Magistral Medium, making it 883.3% larger.

Mistral AI
Magistral Medium
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
24.0B
Magistral Medium
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Magistral Medium and Qwen3 VL 235B A22B Thinking 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 235B A22B 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.

Magistral Medium

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Medium was released on 2025-06-10, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 3 months newer than Magistral Medium.

Magistral Medium

Jun 10, 2025

1.3 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

1.0 years ago

3mo newer

Knowledge Cutoff

When training data ends

Magistral Medium has a documented knowledge cutoff of 2025-06-01, while Qwen3 VL 235B A22B Thinking'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 235B A22B Thinking's cutoff date.

Magistral Medium

Jun 2025

Qwen3 VL 235B A22B Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Magistral Medium and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.

Magistral Medium
✓ Preferred
Qwen3 VL 235B A22B Thinking
Open in Playground

FAQ

Common questions about Magistral Medium vs Qwen3 VL 235B A22B Thinking.

Which is better, Magistral Medium or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking leads the LLM Stats Score 26.7 to 13.1. Magistral Medium is made by Mistral AI and Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking 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 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Magistral Medium and Qwen3 VL 235B A22B Thinking?

Magistral Medium supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking 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 235B A22B Thinking?

Key differences include LLM Stats Score (13.1 vs 26.7). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Medium and Qwen3 VL 235B A22B Thinking?

Magistral Medium is developed by Mistral AI and Qwen3 VL 235B A22B Thinking is developed by Alibaba Cloud / Qwen Team.