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DeepSeek VL2 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.2 3B Instruct. Llama 3.2 3B Instruct is $4809.47 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. 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 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.
2 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
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 3.2 3B Instruct
Input:$0.01
Output:$0.02($4809.47 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 3.2 3B Instruct
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Llama 3.2 3B Instruct
Avg Score:0.0%
Providers:1