Model Comparison
o3-pro
vs. o4-mini (high)
Comparing 2 AI models · 12 benchmarks · OpenAI
Recommended Pick
Opo4-mini (high)8 metric winsStrongest on: Value, Input price, Output price
Best Value
o4-mini (high)
100.0 value score
70.8 reasoning / $1.93/1M
Lowest Price
o4-mini (high)
$1.10/1M input price
Best Reasoning
o4-mini (high)
70.8 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
o4-mini (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
o4-mini (high) is 18.2x cheaper on input tokens than o3-pro.
Speed gap
o4-mini (high) generates about 7.7x as many tokens per second as o3-pro.
Reasoning gap
o4-mini (high) leads o3-pro by 12.3 points on reasoning.
Top-pick rationale
o4-mini (high) wins 8 measurable categories, including Value, Input price, Output price, Blended price.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o3-pro
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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o4-mini (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Op o3-pro | Top Pick Op o4-mini (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $20.00/1M | $1.10/1M |
| Output Cost | $80.00/1M | $4.40/1M |
| Blended (3:1) | $35.00/1M | $1.93/1M |
| Specifications | ||
| Organization | OpenAI | OpenAI |
| Release Date | Jun 10, 2025 | Apr 16, 2025 |
| Performance & Speed | ||
| Throughput | 24.2 tok/s | 187.3 tok/s |
| TTFT | 67437ms | 18672ms |
| Latency | 67437ms | 18672ms |
| Composite Indices | ||
| Value Score | 4.5 | 100.0 |
| Reasoning Score | 58.5 | 70.8 |
| Intelligence | 32.5 | 25.6 |
| Math | — | 90.7 |
| Standard Benchmarks | ||
| GPQA | 84.5% | 78.4% |
| MMLU Pro | — | 83.2% |
| HLE | — | 17.5% |
| LiveCodeBench | — | 85.9% |
| MATH 500 | — | 98.9% |
| AIME 2025 | — | 90.7% |
| AIME (Original) | — | 94.0% |
| SciCode | — | 46.5% |
| LCR | — | 55.0% |
| IFBench | — | 68.7% |
| TAU-bench v2 | — | 55.6% |
| TerminalBench Hard | — | 15.2% |
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) has the strongest reasoning profile with a 70.8 reasoning score,combining the available reasoning-heavy benchmarks.
All models support context windows of ∞+ tokens,suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
o3-pro
- General-purpose AI
- Versatile applications
o4-mini (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
