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o1-mini vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-vision-instruct leads with 12.2% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. o1-mini is available on 2 providers. Overall, Phi-3.5-vision-instruct is the stronger choice for coding tasks.
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OpenAI
o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI'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.
20 days newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
o1-mini
OpenAI
2024-09-12
Performance Metrics
Context window and performance specifications
Average performance across 15 common benchmarks
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o1-mini
Average Score:28.8%
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Phi-3.5-vision-instruct
Average Score:41.0%(+12.2%)
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:28.8%
Providers:2
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Phi-3.5-vision-instruct
Avg Score:41.0%(+12.2%)
Providers:0