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o3 vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
o3 leads with 52.9% higher average benchmark score. o3 offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $9.80 cheaper per million tokens. o3 supports multimodal inputs. 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-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
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-3.5-mini-instruct
Input:$0.10
Output:$0.10($9.80 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o3
Average Score:83.3%(+52.9%)
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Phi-3.5-mini-instruct
Average Score:30.4%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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-3.5-mini-instruct
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o3
Avg Score:83.3%(+52.9%)
Providers:1
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Phi-3.5-mini-instruct
Avg Score:30.4%
Providers:1