GPT-4 Turbo vs Microsoft Phi-4
Performance benchmarks + pricing comparison — updated April 2026
GPT-4 Turbo
OpenAIPrevious generation high-performance model. Good for complex reasoning tasks.
| Input | $10.00/M |
| Output | $30.00/M |
| Context | 128K tokens |
| Best For | Complex reasoning, data extraction, analysis |
| Benchmark | 70/100 |
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-4 Turbo | Microsoft Phi-4 | Leader |
|---|---|---|---|
| Overall Score | 70 | 45 | GPT-4 Turbo leads by 25pts |
| SWE-bench Verified | 64 | 38 | GPT-4 Turbo leads by 26pts |
| LiveCodeBench | 72 | 46 | GPT-4 Turbo leads by 26pts |
| HumanEval | 88 | 68 | GPT-4 Turbo leads by 20pts |
| BigCodeBench | 56 | 30 | GPT-4 Turbo leads by 26pts |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-4 Turbo | Microsoft Phi-4 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.01 | Microsoft Phi-4 saves $1.24 (99%) |
| Medium Feature (10K lines) | $9.50 | $0.10 | Microsoft Phi-4 saves $9.40 (99%) |
| Large Project (50K lines) | $47.50 | $0.47 | Microsoft Phi-4 saves $47.02 (99%) |
| Code Review (5K lines) | $2.50 | $0.02 | Microsoft Phi-4 saves $2.48 (99%) |
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-4 Turbo | 70 | $0.133/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-4 Turbo
- + Proven model
- + Large context
- - Superseded by GPT-4o
Microsoft Phi-4
- + Small model, runs locally
- - Limited capacity
Verdict
Microsoft Phi-4 is cheaper at $0.100/M, but GPT-4 Turbo scores higher on benchmarks (70 vs 45).
Choose Microsoft Phi-4 for cost-sensitive projects, GPT-4 Turbo when performance matters most.
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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