Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 1.2% higher average benchmark score. Llama 3.1 8B Instruct offers 245.8K more tokens in context window than DeepSeek-V2.5. Both models have similar pricing. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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.
2 months newer
DeepSeek-V2.5
DeepSeek
2024-05-08
Llama 3.1 8B Instruct
Meta
2024-07-23
Cost per million tokens (USD)
DeepSeek-V2.5
Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 31 common benchmarks
DeepSeek-V2.5
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
DeepSeek-V2.5
DeepInfra
DeepSeek
Hyperbolic
DeepSeek-V2.5
Llama 3.1 8B Instruct
DeepSeek-V2.5
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together