Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 12.4% higher average benchmark score. Llama 3.1 405B Instruct offers 239.6K more tokens in context window than DeepSeek-V2.5. DeepSeek-V2.5 is $1.36 cheaper per million tokens. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
DeepSeek
DeepSeek-V2.5 is a language model developed by DeepSeek. It achieves strong performance with an average score of 71.1% across 15 benchmarks. It excels particularly in GSM8k (95.1%), MT-Bench (90.2%), HumanEval (89.0%). The model is available through 3 API providers. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.1 405B Instruct
Meta
2024-07-23
Cost per million tokens (USD)
DeepSeek-V2.5
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 29 common benchmarks
DeepSeek-V2.5
Llama 3.1 405B Instruct
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Llama 3.1 405B Instruct
DeepSeek-V2.5
Llama 3.1 405B Instruct
Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Lambda
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