Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-R1
DeepSeek
DeepSeek-R1 is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.1% across 20 benchmarks. It excels particularly in MATH-500 (97.3%), MMLU-Redux (92.9%), CLUEWSC (92.8%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek-R1
DeepSeek
2025-01-20
3 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
Llama 3.2 3B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Llama 3.2 3B Instruct
Average performance across 3 common benchmarks
DeepSeek-R1
Llama 3.2 3B Instruct
Performance comparison across key benchmark categories
DeepSeek-R1
Llama 3.2 3B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Llama 3.2 3B Instruct
DeepInfra
DeepSeek-R1
Llama 3.2 3B Instruct