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o4-mini vs Phi-3.5-vision-instruct
Comprehensive side-by-side LLM comparison
o4-mini leads with 39.5% higher average benchmark score. Overall, o4-mini is the stronger choice for coding tasks.
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OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
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Microsoft
Phi-3.5 Vision was developed as a multimodal variant of Phi-3.5, designed to understand and reason about both images and text. Built to extend the Phi family's efficiency into vision-language tasks, it enables compact multimodal AI for practical applications.
7 months newer
Phi-3.5-vision-instruct
Microsoft
2024-08-23
o4-mini
OpenAI
2025-04-16
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o4-mini
Average Score:82.9%(+39.5%)
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Phi-3.5-vision-instruct
Average Score:43.5%
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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-vision-instruct
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o4-mini
Avg Score:82.9%(+39.5%)
Providers:1
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Phi-3.5-vision-instruct
Avg Score:43.5%
Providers:0