Model Comparison

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

Mistral AI

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.

Alibaba

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.

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

Alibaba

Qwen3-235B-A22B-Instruct-2507

Alibaba

2025-07-22

12 days newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
Alibaba

Qwen3-235B-A22B-Instruct-2507

Max Context:-
Parameters:235.0B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
Alibaba

Qwen3-235B-A22B-Instruct-2507

general
+12.1%
73.7%

Provider Availability & Performance

Available providers and their performance metrics

Mistral AI

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s
Latency: 0.23ms
Alibaba

Qwen3-235B-A22B-Instruct-2507

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Alibaba

Qwen3-235B-A22B-Instruct-2507

Avg Score:0.0%
Providers:0