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o3 vs Phi 4
Comprehensive side-by-side LLM comparison
o3 leads with 18.4% higher average benchmark score. o3 offers 268.0K more tokens in context window than Phi 4. Phi 4 is $9.79 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
4 months newer
Phi 4
Microsoft
2024-12-12
o3
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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o3
Input:$2.00
Output:$8.00
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Phi 4
Input:$0.07
Output:$0.14($9.79 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 34 common benchmarks
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o3
Average Score:43.7%(+18.4%)
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Phi 4
Average Score:25.2%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
Phi 4
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
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o3
Avg Score:43.7%(+18.4%)
Providers:1
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Phi 4
Avg Score:25.2%
Providers:1