o4-mini (high) vs o3-mini
Comparing 2 AI models · 6 benchmarks · OpenAI
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Benchmark Winners
o4-mini (high)
- GPQA
- MMLU Pro
- HLE
- LiveCodeBench
- MATH 500
- AIME 2025
o3-mini
No clear wins
| Metric | Op o4-mini (high) | Op o3-mini |
|---|---|---|
| Pricing Per 1M tokens | ||
| Input Cost | $1.10/1M | $1.10/1M |
| Output Cost | $4.40/1M | $4.40/1M |
| Blended Cost 3:1 input/output ratio | $1.93/1M | $1.93/1M |
| Specifications | ||
| Organization Model creator | OpenAI | OpenAI |
| Release Date Launch date | Apr 16, 2025 | Jan 31, 2025 |
| Performance & Speed | ||
| Throughput Output speed | 100.2 tok/s | 124.7 tok/s |
| Time to First Token (TTFT) Initial response delay | 21658ms | 18912ms |
| Latency Time to first answer token | 21658ms | 18912ms |
| Composite Indices | ||
| Intelligence Index Overall reasoning capability | 59.6 | 48.1 |
| Coding Index Programming ability | 48.9 | 39.4 |
| Math Index Mathematical reasoning | 90.7 | — |
| Standard Benchmarks | ||
| GPQA Graduate-level reasoning | 78.4% | 74.8% |
| MMLU Pro Advanced knowledge | 83.2% | 79.1% |
| HLE Hard language evaluation | 17.5% | 8.7% |
| LiveCodeBench Real-world coding tasks | 85.9% | 71.7% |
| MATH 500 Mathematical problems | 98.9% | 97.3% |
| AIME 2025 Advanced math competition | 90.7% | — |
| AIME (Original) Math olympiad problems | 94.0% | 77.0% |
| SciCode Scientific code generation | 46.5% | 39.9% |
| LCR Code review capability | 55.0% | — |
| IFBench Instruction-following | 68.7% | — |
| TAU-bench v2 Tool use & agentic tasks | 55.6% | 28.7% |
| TerminalBench Hard CLI command generation | 14.2% | 6.4% |
Key Takeaways
o4-mini (high) offers the best value at $1.10/1M, making it ideal for high-volume applications and cost-conscious projects.
o4-mini (high) leads in reasoning capabilities with a 78.4% GPQA score, excelling at complex analytical tasks and problem-solving.
o4-mini (high) achieves a 48.9 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
o4-mini (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
o3-mini
- General-purpose AI
- Versatile applications
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Cost Calculator
o4-mini (high) o3-mini Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.
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