Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 3.5% higher average benchmark score. GPT-4.1 mini offers 824.3K more tokens in context window than Mistral Large 2. GPT-4.1 mini is $6.00 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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 mini
OpenAI
2025-04-14
Cost per million tokens (USD)

GPT-4.1 mini

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

GPT-4.1 mini

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

GPT-4.1 mini
OpenAI
ZeroEval


GPT-4.1 mini

Mistral Large 2

GPT-4.1 mini

Mistral Large 2
Mistral Large 2
Mistral AI