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DeepSeek VL2 vs Llama 3.1 405B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.1 405B Instruct. Llama 3.1 405B Instruct is $4807.72 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
4 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
DeepSeek VL2
DeepSeek
2024-12-13
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89($4807.72 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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Llama 3.1 405B Instruct
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Llama 3.1 405B Instruct
Avg Score:0.0%
Providers:8