Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 49.6% higher average benchmark score. Both models have similar pricing. 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 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. 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.
6 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
Cost per million tokens (USD)
DeepSeek R1 Distill Llama 70B
Llama 3.1 70B Instruct
Context window and performance specifications
Average performance across 21 common benchmarks
DeepSeek R1 Distill Llama 70B
Llama 3.1 70B Instruct
Available providers and their performance metrics
DeepSeek R1 Distill Llama 70B
DeepInfra
Llama 3.1 70B Instruct
DeepSeek R1 Distill Llama 70B
Llama 3.1 70B Instruct
DeepSeek R1 Distill Llama 70B
Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together