Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 11.9% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $4809.10 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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%). 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.
7 days newer
Llama 3.3 70B Instruct
Meta
2024-12-06
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Llama 3.3 70B Instruct
Context window and performance specifications
Average performance across 23 common benchmarks
DeepSeek VL2
Llama 3.3 70B Instruct
Available providers and their performance metrics
DeepSeek VL2
Replicate
Llama 3.3 70B Instruct
DeepSeek VL2
Llama 3.3 70B Instruct
DeepSeek VL2
Llama 3.3 70B Instruct
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