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 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek-R1
DeepSeek
2025-01-20
6 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-R1
Llama 3.1 70B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-R1
Llama 3.1 70B Instruct
Average performance across 5 common benchmarks
DeepSeek-R1
Llama 3.1 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-R1
Llama 3.1 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-R1
Together
DeepInfra
Fireworks
DeepSeek
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
DeepSeek-R1
Llama 3.1 70B Instruct