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Magistral Medium vs Qwen3-Next-80B-A3B-Thinking

Qwen3-Next-80B-A3B-Thinking leads the LLM Stats Score 23.8 to 13.1.

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

Which is better?

Qwen3-Next-80B-A3B-Thinking leads the overall LLM Stats Score 23.8 to 13.1, ranking #174 overall.

In the 2 individual benchmarks reported for both models, Qwen3-Next-80B-A3B-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-Next-80B-A3B-Thinking

  • overall performance matters — it scores 23.8 and ranks #174 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
23.8
#174
13.3
#241
24.5
#158
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.15 / M
Output price
— / M
$1.50 / M
Context window
65,536

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Medium
Qwen3-Next-80B-A3B-Thinking
11.4#242
26.5#102
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Magistral Medium · 23 for Qwen3-Next-80B-A3B-Thinking

2 shared

Magistral Medium outperforms in 0 benchmarks, while Qwen3-Next-80B-A3B-Thinking is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3-Next-80B-A3B-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

56.0B diff

Qwen3-Next-80B-A3B-Thinking has 56.0B more parameters than Magistral Medium, making it 233.3% larger.

Mistral AI
Magistral Medium
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
80.0Bparameters
24.0B
Magistral Medium
80.0B
Qwen3-Next-80B-A3B-Thinking

Context Window

Maximum input and output token capacity

Only Qwen3-Next-80B-A3B-Thinking specifies input context (65,536 tokens). Only Qwen3-Next-80B-A3B-Thinking specifies output context (65,536 tokens).

Mistral AI
Magistral Medium
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Thinking
Input65,536 tokens
Output65,536 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Magistral Medium supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Thinking does not.

Magistral Medium can handle both text and other forms of data like images, making it suitable for multimodal applications.

Magistral Medium

Text
Images
Audio
Video

Qwen3-Next-80B-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.

Magistral Medium

Apache 2.0

Open weights

Qwen3-Next-80B-A3B-Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Medium was released on 2025-06-10, while Qwen3-Next-80B-A3B-Thinking was released on 2025-09-10.

Qwen3-Next-80B-A3B-Thinking is 3 months newer than Magistral Medium.

Magistral Medium

Jun 10, 2025

1.3 years ago

Qwen3-Next-80B-A3B-Thinking

Sep 10, 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-Next-80B-A3B-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-Next-80B-A3B-Thinking's cutoff date.

Magistral Medium

Jun 2025

Qwen3-Next-80B-A3B-Thinking

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Magistral Medium and Qwen3-Next-80B-A3B-Thinking side-by-side, then vote on the output you prefer.

Magistral Medium
✓ Preferred
Qwen3-Next-80B-A3B-Thinking
Open in Playground

FAQ

Common questions about Magistral Medium vs Qwen3-Next-80B-A3B-Thinking.

Which is better, Magistral Medium or Qwen3-Next-80B-A3B-Thinking?

Qwen3-Next-80B-A3B-Thinking leads the LLM Stats Score 23.8 to 13.1. Magistral Medium is made by Mistral AI and Qwen3-Next-80B-A3B-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-Next-80B-A3B-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-Next-80B-A3B-Thinking scores MMLU-Redux: 92.5%, IFEval: 88.9%, AIME 2025: 87.8%, WritingBench: 84.6%, MMLU-Pro: 82.7%.

What are the context window sizes for Magistral Medium and Qwen3-Next-80B-A3B-Thinking?

Magistral Medium supports an unknown number of tokens and Qwen3-Next-80B-A3B-Thinking supports 66K 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-Next-80B-A3B-Thinking?

Key differences include LLM Stats Score (13.1 vs 23.8), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Medium and Qwen3-Next-80B-A3B-Thinking?

Magistral Medium is developed by Mistral AI and Qwen3-Next-80B-A3B-Thinking is developed by Alibaba Cloud / Qwen Team.