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Llama 3.2 3B Instruct vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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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.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
1 month newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Llama 3.2 3B Instruct
Meta
2024-09-25
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Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.2 3B Instruct
1 providers
DeepInfra
Throughput: 171.5 tok/s
Latency: 0.24ms
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Phi-3.5-vision-instruct
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Llama 3.2 3B Instruct
Avg Score:0.0%
Providers:1
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Phi-3.5-vision-instruct
Avg Score:0.0%
Providers:0