GPT-3.5 Turbo vs Phi-3 Mini
Performance benchmarks + pricing comparison — updated April 2026
GPT-3.5 Turbo
OpenAIBudget model for simple tasks. Being phased out but still widely used.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 16K tokens |
| Best For | Simple chatbots, basic text generation |
| Benchmark | 40/100 |
Phi-3 Mini
MicrosoftMicrosoft's compact Phi-3 model. Small but capable model for edge and IoT deployment.
| Input | $0.050/M |
| Output | $0.100/M |
| Context | 128K tokens |
| Best For | Edge 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.
| Scenario | GPT-3.5 Turbo | Phi-3 Mini | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | <$0.01 | Phi-3 Mini saves $0.06 (92%) |
| Medium Feature (10K lines) | $0.48 | $0.04 | Phi-3 Mini saves $0.44 (92%) |
| Large Project (50K lines) | $2.38 | $0.19 | Phi-3 Mini saves $2.19 (92%) |
| Code Review (5K lines) | $0.13 | $0.01 | Phi-3 Mini saves $0.11 (91%) |
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
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