Model Comparison
o1
vs. o3-mini (high)
Comparing 2 AI models · 11 benchmarks · OpenAI
Recommended Pick
Op o3-mini (high) 13 metric wins Strongest on: Value, Input price, Output price
Best Value
o3-mini (high)
100.0 value score
58.5 reasoning / $1.93/1M
Lowest Price
o3-mini (high)
$1.10/1M input price
Best Reasoning
o3-mini (high)
58.5 reasoning score
Blends available reasoning benchmarks
Best for Coding
o3-mini (high)
42.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
o3-mini (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
o3-mini (high) is 13.6x cheaper on input tokens than o1.
Speed gap
o3-mini (high) generates about 1.4x as many tokens per second as o1.
Reasoning gap
o3-mini (high) leads o1 by 3.5 points on reasoning.
Coding gap
o3-mini (high) leads o1 by 2.4 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
o1
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
o3-mini (high)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op o1 | Top Pick Op o3-mini (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $15.00/1M | $1.10/1M |
| Output Cost | $60.00/1M | $4.40/1M |
| Blended (3:1) | $26.25/1M | $1.93/1M |
| Specifications | ||
| Organization | OpenAI | OpenAI |
| Release Date | Dec 5, 2024 | Jan 31, 2025 |
| Performance & Speed | ||
| Throughput | 145.6 tok/s | 199.1 tok/s |
| TTFT | 18357ms | 19318ms |
| Latency | 18357ms | 19318ms |
| Composite Indices | ||
| Value Score | 6.9 | 100.0 |
| Reasoning Score | 55.0 | 58.5 |
| Intelligence | 23.4 | 18.4 |
| Coding | 39.7 | 42.1 |
| Standard Benchmarks | ||
| GPQA | 74.7% | 77.3% |
| MMLU Pro | 84.1% | 80.2% |
| HLE | 7.7% | 12.3% |
| LiveCodeBench | 67.9% | 73.4% |
| MATH 500 | 97.0% | 98.5% |
| AIME (Original) | 72.3% | 86.0% |
| SciCode | 35.8% | 39.8% |
| LCR | 59.3% | 39.3% |
| IFBench | 70.3% | 67.1% |
| TAU-bench v2 | 62.6% | 31.3% |
| TerminalBench Hard | 12.9% | 6.1% |
Key Takeaways
o3-mini (high) offers the best value at $1.10/1M, making it ideal for high-volume applications and cost-conscious projects.
o3-mini (high) has the strongest reasoning profile with a 58.5 reasoning score, combining the available reasoning-heavy benchmarks.
o3-mini (high) reaches a 42.1 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
o1
- General-purpose AI
- Versatile applications
o3-mini (high)
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
