Comprehensive side-by-side LLM comparison
GPT-5 mini leads with 41.1% higher average benchmark score. GPT-5 mini offers 272.0K more tokens in context window than Devstral Small 1.1. Devstral Small 1.1 is $1.85 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Overall, GPT-5 mini is the stronger choice for coding tasks.
Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. 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.
27 days newer
Devstral Small 1.1
Mistral AI
2025-07-11
GPT-5 mini
OpenAI
2025-08-07
Cost per million tokens (USD)
Devstral Small 1.1
GPT-5 mini
Context window and performance specifications
Average performance across 6 common benchmarks
Devstral Small 1.1
GPT-5 mini
GPT-5 mini
2024-05-30
Available providers and their performance metrics
Devstral Small 1.1
Mistral AI
GPT-5 mini
Devstral Small 1.1
GPT-5 mini
Devstral Small 1.1
GPT-5 mini
OpenAI
ZeroEval