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DeepSeek VL2 vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
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.
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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 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
4 months newer
Llama 3.1 8B 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 8B Instruct
Input:$0.03
Output:$0.03($4809.44 cheaper)
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
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 8B Instruct
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Llama 3.1 8B Instruct
Avg Score:0.0%
Providers:9