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.

Qwen2.5-Coder 7B Instruct

Alibaba

Qwen2.5-Coder 7B Instruct is a language model developed by Alibaba. The model shows competitive results across 19 benchmarks. It excels particularly in HumanEval (88.4%), GSM8k (83.9%), MBPP (83.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5-Coder 7B Instruct

Alibaba

2024-09-19

Devstral Medium

Mistral AI

2025-07-10

9 months newer

Performance Metrics

Context window and performance specifications

Devstral Medium

Larger context

Max Context:256.0K

Qwen2.5-Coder 7B Instruct

Max Context:-

Parameters:7.0B

Performance comparison across key benchmark categories

Devstral Medium

general

+9.3%

61.6%

Qwen2.5-Coder 7B Instruct

general

52.3%

Provider Availability & Performance

Available providers and their performance metrics

Devstral Medium

1 providers

Mistral AI

Throughput: 137.1 tok/s

Latency: 0.23ms

Qwen2.5-Coder 7B Instruct

0 providers

Devstral Medium

Avg Score:0.0%

Providers:1

Qwen2.5-Coder 7B Instruct

Avg Score:0.0%

Providers:0