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.

Llama 4 Scout
Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). The model shows particular specialization in vision tasks with an average performance of 81.9%. With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.

Llama 4 Scout
Meta
2025-04-05

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

GPT-4.1 mini

Llama 4 Scout
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

Llama 4 Scout
Average performance across 4 common benchmarks

GPT-4.1 mini

Llama 4 Scout
Performance comparison across key benchmark categories

GPT-4.1 mini

Llama 4 Scout
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

Llama 4 Scout
Together
DeepInfra
Fireworks
Groq
Novita
Lambda

GPT-4.1 mini

Llama 4 Scout