Comprehensive side-by-side LLM comparison
Mistral NeMo Instruct leads with 20.3% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than Mistral NeMo Instruct. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, Mistral NeMo Instruct 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 NeMo Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 64.3% across 8 benchmarks. It excels particularly in HellaSwag (83.5%), Winogrande (76.8%), TriviaQA (73.8%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
1 year newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)
GPT-5 nano
Mistral NeMo Instruct
Context window and performance specifications
Average performance across 13 common benchmarks
GPT-5 nano
Mistral NeMo Instruct
GPT-5 nano
2024-05-30
Available providers and their performance metrics
GPT-5 nano
OpenAI
ZeroEval
GPT-5 nano
Mistral NeMo Instruct
GPT-5 nano
Mistral NeMo Instruct
Mistral NeMo Instruct
Mistral AI