Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 3.9% higher average benchmark score. GPT-4.1 nano offers 824.3K more tokens in context window than Mistral Large 2. GPT-4.1 nano is $7.50 cheaper per million tokens. GPT-4.1 nano supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 Nano was developed as the smallest and most efficient variant in the GPT-4.1 family, designed for applications requiring minimal latency and resource usage. Built to enable AI capabilities on edge devices and resource-constrained environments, it distills GPT-4.1 capabilities into an ultra-compact form factor.
Mistral AI
Mistral Large 2 was introduced as the second generation of Mistral's flagship model, designed to provide frontier-level capabilities across diverse language tasks. Built with enhanced reasoning, coding, and multilingual abilities, it represents Mistral's most advanced offering for enterprise and demanding applications.
8 months newer

Mistral Large 2
Mistral AI
2024-07-24

GPT-4.1 nano
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 nano

Mistral Large 2
Context window and performance specifications
Average performance across 1 common benchmarks

GPT-4.1 nano

Mistral Large 2
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Mistral Large 2

GPT-4.1 nano

Mistral Large 2

GPT-4.1 nano

Mistral Large 2
Mistral AI