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

GPT-4.1 mini
OpenAI
GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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.

Pixtral Large
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. 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 2024, it represents Mistral AI's latest advancement in AI technology.

Pixtral Large
Mistral AI
2024-11-18

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

GPT-4.1 mini

Pixtral Large
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

Pixtral Large
Average performance across 2 common benchmarks

GPT-4.1 mini

Pixtral Large
Performance comparison across key benchmark categories

GPT-4.1 mini

Pixtral Large
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

Pixtral Large
Mistral AI

GPT-4.1 mini

Pixtral Large