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

Devstral Medium
Mistral AI
Devstral Medium is a language model developed by Mistral AI. It achieves strong performance with an average score of 61.6% across 1 benchmarks. Notable strengths include SWE-Bench Verified (61.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2025, it represents Mistral AI's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Devstral Medium
Mistral AI
2025-07-10

Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
12 days newer
Performance Metrics
Context window and performance specifications

Devstral Medium

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories

Devstral Medium

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics

Devstral Medium
Mistral AI

Qwen3-235B-A22B-Instruct-2507

Devstral Medium

Qwen3-235B-A22B-Instruct-2507