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.

Ministral 8B Instruct
Mistral AI
Ministral 8B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 63.3% across 11 benchmarks. It excels particularly in MT-Bench (83.0%), Winogrande (75.3%), ARC-C (71.9%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Mistral AI's latest advancement in AI technology.

Ministral 8B Instruct
Mistral AI
2024-10-16

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

GPT-4.1 nano

Ministral 8B Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1 nano

Ministral 8B Instruct
Average performance across 1 common benchmarks

GPT-4.1 nano

Ministral 8B Instruct
Performance comparison across key benchmark categories

GPT-4.1 nano

Ministral 8B Instruct
GPT-4.1 nano
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 nano
OpenAI

Ministral 8B Instruct
Mistral AI

GPT-4.1 nano

Ministral 8B Instruct