Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
DeepSeek-V3.2-Exp
DeepSeek
DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K 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-V3.2-Exp
DeepSeek
2025-09-29
1 year newer
Pricing Comparison
Cost per million tokens (USD)
DeepSeek-V3.2-Exp
Llama 3.1 70B Instruct
Performance Metrics
Context window and performance specifications
DeepSeek-V3.2-Exp
Llama 3.1 70B Instruct
Average performance across 30 common benchmarks
DeepSeek-V3.2-Exp
Llama 3.1 70B Instruct
Performance comparison across key benchmark categories
DeepSeek-V3.2-Exp
Llama 3.1 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics
DeepSeek-V3.2-Exp
Novita
ZeroEval
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
DeepSeek-V3.2-Exp
Llama 3.1 70B Instruct