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Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Mistral AI

Magistral Medium

Mistral AI

Magistral Medium is a multimodal language model developed by Mistral AI. The model shows competitive results across 6 benchmarks. Notable strengths include AIME 2024 (73.6%), GPQA (70.8%), AIME 2025 (64.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME25 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Mistral AI

Magistral Medium

Mistral AI

2025-06-10

Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Alibaba Cloud / Qwen Team

2025-07-25

1 month newer

Performance Metrics

Context window and performance specifications

Mistral AI

Magistral Medium

Max Context:-
Parameters:24.0B
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

Larger context
Max Context:387.1K
Parameters:235.0B

Average performance across 2 common benchmarks

Mistral AI

Magistral Medium

Average Score:39.9%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+9.8%
Average Score:49.7%

Performance comparison across key benchmark categories

Mistral AI

Magistral Medium

general
51.1%
math
+4.8%
64.9%
code
48.7%
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

general
+26.2%
77.4%
math
60.1%
code
+5.2%
53.9%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Magistral Medium

2025-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Magistral Medium

0 providers
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

1 providers

Novita

Mistral AI

Magistral Medium

Avg Score:39.9%
Providers:0
Alibaba Cloud / Qwen Team

Qwen3-235B-A22B-Thinking-2507

+9.8%
Avg Score:49.7%
Providers:1