Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

GPT-4.1 nano
OpenAI
GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. 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 NeMo Instruct
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%). The model shows particular specialization in reasoning tasks with an average performance of 80.2%. 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.

Mistral NeMo Instruct
Mistral AI
2024-07-18

GPT-4.1 nano
OpenAI
2025-04-14
9 months newer
Pricing Comparison
Cost per million tokens (USD)

GPT-4.1 nano

Mistral NeMo Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Mistral NeMo Instruct
Average performance across 1 common benchmarks

GPT-4.1 nano

Mistral NeMo Instruct
Performance comparison across key benchmark categories

GPT-4.1 nano

Mistral NeMo Instruct
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Mistral NeMo Instruct
Mistral AI

GPT-4.1 nano

Mistral NeMo Instruct