Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1-0528
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek'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
DeepSeek-R1-0528
DeepSeek
2025-05-28
8 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1-0528
Llama 3.2 90B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-R1-0528
Llama 3.2 90B Instruct
Average performance across 1 common benchmarks
DeepSeek-R1-0528
Llama 3.2 90B Instruct
Performance comparison across key benchmark categories
DeepSeek-R1-0528
Llama 3.2 90B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
Novita
DeepSeek
Llama 3.2 90B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
DeepSeek-R1-0528
Llama 3.2 90B Instruct