Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 12.0% higher average benchmark score. DeepSeek-R1-0528 offers 6.1K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $2.25 cheaper per million tokens. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 60.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), SimpleQA (92.3%), AIME 2024 (91.4%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.
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.
10 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek-R1-0528
DeepSeek
2025-05-28
Cost per million tokens (USD)
DeepSeek-R1-0528
Llama 3.1 70B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
DeepSeek-R1-0528
Llama 3.1 70B Instruct
Available providers and their performance metrics
DeepSeek-R1-0528
DeepInfra
DeepSeek
Novita
DeepSeek-R1-0528
Llama 3.1 70B Instruct
DeepSeek-R1-0528
Llama 3.1 70B Instruct
Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together