OpenAI o1-mini vs Phi-3 Mini

Performance benchmarks + pricing comparison — updated April 2026

OpenAI o1-mini

OpenAI

Cost-effective reasoning model. Good for coding tasks that require logical reasoning.

Input$1.10/M
Output$4.40/M
Context128K tokens
Best ForCoding logic, debugging, algorithm design
Benchmark70/100

Phi-3 Mini

Microsoft

Microsoft's compact Phi-3 model. Small but capable model for edge and IoT deployment.

Input$0.050/M
Output$0.100/M
Context128K tokens
Best ForEdge AI, IoT devices, lightweight applications

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioOpenAI o1-miniPhi-3 MiniSavings
Small Script (1K lines) $0.17 <$0.01 Phi-3 Mini saves $0.17 (97%)
Medium Feature (10K lines) $1.27 $0.04 Phi-3 Mini saves $1.23 (97%)
Large Project (50K lines) $6.33 $0.19 Phi-3 Mini saves $6.14 (97%)
Code Review (5K lines) $0.30 $0.01 Phi-3 Mini saves $0.29 (96%)

Verdict

Phi-3 Mini wins on both price and performance — $0.050/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models