Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.1
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%). The model shows particular specialization in factuality tasks with an average performance of 92.6%. 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.
Llama 3.1 70B Instruct
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.
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek-V3.1
DeepSeek
2025-01-10
5 months newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.1
Llama 3.1 70B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-V3.1
Llama 3.1 70B Instruct
Average performance across 1 common benchmarks
DeepSeek-V3.1
Llama 3.1 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3.1
Llama 3.1 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.1
DeepInfra
Novita
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
DeepSeek-V3.1
Llama 3.1 70B Instruct