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Llama 3.2 3B Instruct vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 9.2% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. Overall, Llama 3.2 3B Instruct is the stronger choice for coding tasks.
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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.
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Microsoft
Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
1 month newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
Llama 3.2 3B Instruct
Meta
2024-09-25
Performance Metrics
Context window and performance specifications
Average performance across 24 common benchmarks
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Llama 3.2 3B Instruct
Average Score:34.8%(+9.2%)
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Phi-3.5-vision-instruct
Average Score:25.6%
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:34.8%(+9.2%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:25.6%
Providers:0