Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 31.5% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Devstral Medium. GPT-5 nano is $1.95 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano 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 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 5 benchmarks. It excels particularly in AIME 2025 (85.2%), HMMT 2025 (75.6%), GPQA (71.2%). 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 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
Devstral Medium
GPT-5 nano
Context window and performance specifications
Average performance across 6 common benchmarks
Devstral Medium
GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics
Devstral Medium
Mistral AI
GPT-5 nano
Devstral Medium
GPT-5 nano
Devstral Medium
GPT-5 nano
OpenAI
ZeroEval