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o1 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
o1 leads with 16.0% higher average benchmark score. o1 offers 44.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $74.85 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
1 month newer
o1
OpenAI
2024-12-17
Phi-4-multimodal-instruct
Microsoft
2025-02-01
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Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($74.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1
Average Score:74.7%(+16.0%)
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Phi-4-multimodal-instruct
Average Score:58.8%
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:74.7%(+16.0%)
Providers:2
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Phi-4-multimodal-instruct
Avg Score:58.8%
Providers:1