OpenAI o3-mini vs Microsoft Phi-4
Performance benchmarks + pricing comparison — updated April 2026
OpenAI o3-mini
OpenAIAffordable reasoning model for coding tasks. Best price-performance for algorithm-heavy work.
| Input | $1.10/M |
| Output | $4.40/M |
| Context | 200K tokens |
| Best For | Algorithm design, coding challenges, debugging |
| Benchmark | 80/100 |
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 | OpenAI o3-mini | Microsoft Phi-4 | Leader |
|---|---|---|---|
| Overall Score | 80 | 45 | o3-mini leads by 35pts |
| SWE-bench Verified | 76 | 38 | o3-mini leads by 38pts |
| LiveCodeBench | 85 | 46 | o3-mini leads by 39pts |
| HumanEval | 94 | 68 | o3-mini leads by 26pts |
| BigCodeBench | 65 | 30 | o3-mini leads by 35pts |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | OpenAI o3-mini | Microsoft Phi-4 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.17 | $0.01 | Microsoft Phi-4 saves $0.16 (93%) |
| Medium Feature (10K lines) | $1.27 | $0.10 | Microsoft Phi-4 saves $1.17 (92%) |
| Large Project (50K lines) | $6.33 | $0.47 | Microsoft Phi-4 saves $5.85 (92%) |
| Code Review (5K lines) | $0.30 | $0.02 | Microsoft Phi-4 saves $0.28 (92%) |
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 |
|---|---|---|---|
| OpenAI o3-mini | 80 | $0.014/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
OpenAI o3-mini
- + Excellent at competitive programming
- + Strong algorithmic reasoning
- - Optimized for reasoning, not chat
Microsoft Phi-4
- + Small model, runs locally
- - Limited capacity
Verdict
Microsoft Phi-4 is cheaper at $0.100/M, but OpenAI o3-mini scores higher on benchmarks (80 vs 45).
Choose Microsoft Phi-4 for cost-sensitive projects, OpenAI o3-mini when performance matters most.
Compare with Other Models
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AnthropicAnthropic's balanced model for coding and general tasks. Best price-performance ratio in the Claude family.
Claude Opus 4
AnthropicAnthropic's most powerful model. Best for complex reasoning and challenging coding tasks.
Claude 3.5 Sonnet
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Claude 3.5 Haiku
AnthropicFast, cost-effective model for high-volume tasks. Great for code review and simple queries.
Claude 3 Opus
AnthropicFirst generation Opus. Highest reasoning capability in the Claude 3 family.
Claude 3 Sonnet
AnthropicFirst generation Sonnet. Balanced performance for general tasks.