Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 3.5% higher average benchmark score. Llama 3.1 8B Instruct offers 3.6K more tokens in context window than DeepSeek VL2. Llama 3.1 8B Instruct is $4809.44 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
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 3.1 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.
4 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
DeepSeek VL2
DeepSeek
2024-12-13
Cost per million tokens (USD)
DeepSeek VL2
Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 32 common benchmarks
DeepSeek VL2
Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
DeepSeek VL2
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Llama 3.1 8B Instruct
DeepSeek VL2
Llama 3.1 8B Instruct
DeepSeek VL2
Llama 3.1 8B Instruct
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