Comprehensive side-by-side LLM comparison
GPT-4.1 nano leads with 6.3% higher average benchmark score. GPT-4.1 nano offers 944.2K more tokens in context window than Pixtral-12B. Both models have similar pricing. Overall, GPT-4.1 nano is the stronger choice for coding tasks.
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
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
6 months newer

Pixtral-12B
Mistral AI
2024-09-17

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

GPT-4.1 nano

Pixtral-12B
Context window and performance specifications
Average performance across 4 common benchmarks

GPT-4.1 nano

Pixtral-12B
GPT-4.1 nano
2024-05-31
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Pixtral-12B

GPT-4.1 nano

Pixtral-12B

GPT-4.1 nano

Pixtral-12B
Mistral AI