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o3 vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
o3 leads with 30.0% higher average benchmark score. o3 offers 44.0K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $9.85 cheaper per million tokens. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
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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.
2 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o3
Input:$2.00
Output:$8.00
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($9.85 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o3
Average Score:82.0%(+30.0%)
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Phi-4-multimodal-instruct
Average Score:52.0%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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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o3
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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Phi-4-multimodal-instruct
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o3
Avg Score:82.0%(+30.0%)
Providers:1
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Phi-4-multimodal-instruct
Avg Score:52.0%
Providers:1