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o1 vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
o1 leads with 28.7% higher average benchmark score. Phi-3.5-vision-instruct supports multimodal inputs. o1 is available on 2 providers. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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.
3 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
o1
OpenAI
2024-12-17
Performance Metrics
Context window and performance specifications
Average performance across 26 common benchmarks
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o1
Average Score:52.3%(+28.7%)
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Phi-3.5-vision-instruct
Average Score:23.6%
Provider Availability & Performance
Available providers and their performance metrics
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o1
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:52.3%(+28.7%)
Providers:2
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Phi-3.5-vision-instruct
Avg Score:23.6%
Providers:0