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Magistral Small 2506 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 10.7.

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

Which is better?

Qwen3-235B-A22B-Instruct-2507 leads the overall LLM Stats Score 24.1 to 10.7, ranking #182 overall.

In the 2 individual benchmarks reported for both models, Qwen3-235B-A22B-Instruct-2507 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 Small 2506

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3-235B-A22B-Instruct-2507

  • overall performance matters — it scores 24.1 and ranks #182 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 Jul 2025

At a glance

The differences that matter most.

Magistral Small 2506
Mistral AI
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
10.7
#277
24.1
#182
Reasoning
10.9
#275
23.9
#177
Coding
5.2
#215
4.1
#226
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.09 / M
Output price
— / M
$0.55 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Magistral Small 2506
Qwen3-235B-A22B-Instruct-2507
Math
8.5#265
23.9#128
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for Magistral Small 2506 · 25 for Qwen3-235B-A22B-Instruct-2507

2 shared

Magistral Small 2506 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 2 benchmarks (AIME 2025, GPQA).

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.

Sat Oct 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

211.0B diff

Qwen3-235B-A22B-Instruct-2507 has 211.0B more parameters than Magistral Small 2506, making it 879.2% larger.

Mistral AI
Magistral Small 2506
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
24.0B
Magistral Small 2506
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (262,144 tokens).

Mistral AI
Magistral Small 2506
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output262,144 tokens
Sat Oct 17 2026 • llm-stats.com

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

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Magistral Small 2506 was released on 2025-06-10, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 1 month newer than Magistral Small 2506.

Magistral Small 2506

Jun 10, 2025

1.4 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Magistral Small 2506

Jun 2025

Qwen3-235B-A22B-Instruct-2507

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Magistral Small 2506 and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Magistral Small 2506
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Magistral Small 2506 vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Magistral Small 2506 or Qwen3-235B-A22B-Instruct-2507?

Qwen3-235B-A22B-Instruct-2507 leads the LLM Stats Score 24.1 to 10.7. Magistral Small 2506 is made by Mistral AI and Qwen3-235B-A22B-Instruct-2507 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 Small 2506 compare to Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Magistral Small 2506 and Qwen3-235B-A22B-Instruct-2507?

Magistral Small 2506 supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507?

Key differences include LLM Stats Score (10.7 vs 24.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Magistral Small 2506 and Qwen3-235B-A22B-Instruct-2507?

Magistral Small 2506 is developed by Mistral AI and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.

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