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 3.2 90B Instruct
Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 90B Instruct
Meta
2024-09-25

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

GPT-4.1 mini

Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications

GPT-4.1 mini

Llama 3.2 90B Instruct
Average performance across 4 common benchmarks

GPT-4.1 mini

Llama 3.2 90B Instruct
Performance comparison across key benchmark categories

GPT-4.1 mini

Llama 3.2 90B Instruct
GPT-4.1 mini
2024-05-31
Provider Availability & Performance
Available providers and their performance metrics

GPT-4.1 mini
ZeroEval
OpenAI

Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock

GPT-4.1 mini

Llama 3.2 90B Instruct