Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 39.7% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Devstral Medium. Both models have similar pricing. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
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.
OpenAI
GPT-5 mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 60.0% across 5 benchmarks. It excels particularly in AIME 2025 (91.1%), HMMT 2025 (87.8%), GPQA (82.3%). It supports a 528K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
28 days newer
Devstral Medium
Mistral AI
2025-07-10
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
Devstral Medium
GPT-5 mini
Context window and performance specifications
Average performance across 6 common benchmarks
Devstral Medium
GPT-5 mini
GPT-5 mini
2024-05-30
Available providers and their performance metrics
Devstral Medium
Mistral AI
GPT-5 mini
Devstral Medium
GPT-5 mini
Devstral Medium
GPT-5 mini
OpenAI
ZeroEval