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

Qwen2.5 14B Instruct

Alibaba

Qwen2.5 14B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). The model shows particular specialization in math tasks with an average performance of 87.4%. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 14B Instruct

Alibaba

2024-09-19

Mistral AI

Devstral Medium

Mistral AI

2025-07-10

9 months newer

Performance Metrics

Context window and performance specifications

Mistral AI

Devstral Medium

Larger context
Max Context:256.0K
Alibaba

Qwen2.5 14B Instruct

Max Context:-
Parameters:14.7B

Performance comparison across key benchmark categories

Mistral AI

Devstral Medium

general
61.6%
Alibaba

Qwen2.5 14B Instruct

general
+5.8%
67.4%

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

Qwen2.5 14B Instruct

0 providers
Mistral AI

Devstral Medium

Avg Score:0.0%
Providers:1
Alibaba

Qwen2.5 14B Instruct

Avg Score:0.0%
Providers:0