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DeepSeek VL2 vs Llama 3.2 3B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 5.5% higher average benchmark score. 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. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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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.
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Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.
2 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
DeepSeek VL2
DeepSeek
2024-12-13
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
Average performance across 29 common benchmarks
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DeepSeek VL2
Average Score:34.2%(+5.5%)
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Llama 3.2 3B Instruct
Average Score:28.8%
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:34.2%(+5.5%)
Providers:1
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Llama 3.2 3B Instruct
Avg Score:28.8%
Providers:1