GPT-3.5 Turbo vs Microsoft Phi-4
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 |
Microsoft Phi-4
MicrosoftMicrosoft's compact 14B model with strong reasoning and coding capability. Excellent value for small-scale deployments.
| Input | $0.100/M |
| Output | $0.300/M |
| Context | 128K tokens |
| Best For | Edge deployments, local inference, budget coding |
| Benchmark | 45/100 |
Benchmark Performance Comparison
Third-party benchmark scores — higher is better. Data sourced from SWE-bench, LiveCodeBench, HumanEval, and BigCodeBench.
| Benchmark | GPT-3.5 Turbo | Microsoft Phi-4 | Leader |
|---|---|---|---|
| Overall Score | 40 | 45 | Microsoft Phi-4 leads by 5pts |
| SWE-bench Verified | 32 | 38 | Microsoft Phi-4 leads by 6pts |
| LiveCodeBench | 42 | 46 | Microsoft Phi-4 leads by 4pts |
| HumanEval | 62 | 68 | Microsoft Phi-4 leads by 6pts |
| BigCodeBench | 26 | 30 | Microsoft Phi-4 leads by 4pts |
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 | Microsoft Phi-4 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.01 | Microsoft Phi-4 saves $0.05 (80%) |
| Medium Feature (10K lines) | $0.48 | $0.10 | Microsoft Phi-4 saves $0.38 (80%) |
| Large Project (50K lines) | $2.38 | $0.47 | Microsoft Phi-4 saves $1.90 (80%) |
| Code Review (5K lines) | $0.13 | $0.02 | Microsoft Phi-4 saves $0.10 (80%) |
Value Analysis (Price per Benchmark Score Point)
Lower is better — how much you pay for each point of benchmark performance.
| Model | Overall Score | Price per Score Point | Verdict |
|---|---|---|---|
| GPT-3.5 Turbo | 40 | $0.013/pt | Higher cost per point |
| Microsoft Phi-4 | 45 | $0.002/pt | Better value |
Microsoft Phi-4 delivers the best value at $0.002 per score point.
Strengths & Weaknesses
GPT-3.5 Turbo
- + Ultra-cheap
- + Very fast
- - Basic coding only
Microsoft Phi-4
- + Small model, runs locally
- - Limited capacity
Verdict
Microsoft Phi-4 wins on both price and performance — $0.100/M input with a benchmark score of 45/100.
For most developers, this is the clear choice between these two models.
Compare with Other Models
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Claude Opus 4
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Claude 3.5 Sonnet
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Claude 3.5 Haiku
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Claude 3 Opus
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Claude 3 Sonnet
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