Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 15.3% higher average benchmark score. DeepSeek-V3.1 offers 71.7K more tokens in context window than Llama 3.1 405B Instruct. DeepSeek-V3.1 is $0.51 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-V3.1 is a language model developed by DeepSeek. The model shows competitive results across 16 benchmarks. It excels particularly in SimpleQA (93.4%), MMLU-Redux (91.8%), MMLU-Pro (83.7%). It supports a 328K token context window for handling large documents. The model is available through 2 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 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.
5 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
DeepSeek-V3.1
DeepSeek
2025-01-10
Cost per million tokens (USD)
DeepSeek-V3.1
Llama 3.1 405B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
DeepSeek-V3.1
Llama 3.1 405B Instruct
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Llama 3.1 405B Instruct
DeepSeek-V3.1
Llama 3.1 405B Instruct
DeepSeek-V3.1
Llama 3.1 405B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Lambda
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