Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

DeepSeek-V3
DeepSeek
DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Llama 3.3 70B Instruct
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). The model shows particular specialization in code tasks with an average performance of 89.4%. 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 3.3 70B Instruct
Meta
2024-12-06

DeepSeek-V3
DeepSeek
2024-12-25
19 days newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek-V3

Llama 3.3 70B Instruct
Performance Metrics
Context window and performance specifications

DeepSeek-V3

Llama 3.3 70B Instruct
Average performance across 4 common benchmarks

DeepSeek-V3

Llama 3.3 70B Instruct
Performance comparison across key benchmark categories

DeepSeek-V3

Llama 3.3 70B Instruct
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek-V3
DeepSeek

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

DeepSeek-V3

Llama 3.3 70B Instruct