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o4-mini vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 20.2% higher average benchmark score. o4-mini offers 44.0K more tokens in context window than Phi-3.5-mini-instruct. Phi-3.5-mini-instruct is $5.30 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, Phi-3.5-mini-instruct is the stronger choice for coding tasks.
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OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). 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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. 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.
7 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
o4-mini
OpenAI
2025-04-16
Pricing Comparison
Cost per million tokens (USD)
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o4-mini
Input:$1.10
Output:$4.40
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Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($5.30 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 44 common benchmarks
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o4-mini
Average Score:21.2%
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Phi-3.5-mini-instruct
Average Score:41.4%(+20.2%)
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Knowledge Cutoff
Training data recency comparison
o4-mini
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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o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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Phi-3.5-mini-instruct
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o4-mini
Avg Score:21.2%
Providers:1
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Phi-3.5-mini-instruct
Avg Score:41.4%(+20.2%)
Providers:1