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DeepSeek VL2 Tiny vs Llama 3.1 8B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 6.9% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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 3.1 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 Tiny
DeepSeek
2024-12-13
Performance Metrics
Context window and performance specifications
Average performance across 32 common benchmarks
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DeepSeek VL2 Tiny
Average Score:27.6%
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Llama 3.1 8B Instruct
Average Score:34.5%(+6.9%)
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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 Tiny
0 providers
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Llama 3.1 8B Instruct
9 providers
Bedrock
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DeepSeek VL2 Tiny
Avg Score:27.6%
Providers:0
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Llama 3.1 8B Instruct
Avg Score:34.5%(+6.9%)
Providers:9