Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 18.8% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Mistral Large 2. GPT-5 nano is $7.55 cheaper per million tokens. GPT-5 nano supports multimodal inputs. Overall, Mistral Large 2 is the stronger choice for coding tasks.
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.
Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Mistral Large 2
Mistral AI
2024-07-24
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Mistral Large 2
Context window and performance specifications
Average performance across 10 common benchmarks
GPT-5 nano
Mistral Large 2
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Mistral Large 2
GPT-5 nano
Mistral Large 2
Mistral Large 2
Mistral AI