o1-mini
DeprecatedSmaller o1-series reasoning model, now superseded by o3-mini.
Overview
o1-mini was OpenAI's cost-efficient reasoning model before o3-mini. It focuses on STEM reasoning without the broad world knowledge of the full o1.
History
o1-mini was released on 2024-09-12. This model is marked as deprecated and may be retired in the future.
Training & availability
OpenAI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 128K tokens.
-
Max output: 65K tokens.
-
Input modalities: text.
Limitations
- Text-only — cannot process images, audio, or video inputs.
Pricing
- Input: $3.0000 per 1M tokens
- Output: $12.0000 per 1M tokens
Use the cost calculator above to estimate monthly spend for your workload.
Quick start
Minimal example using the openai API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
model="o1-mini",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
Benchmarks
| Benchmark | Score | Source |
|---|---|---|
| Aider PolyglotCoding | 32.9% pass@2 | Third-party Papers With Code |
Integrations & tooling support
- Tool calling
- Not supported
- Structured outputs
- Not supported
Price vs quality
Below-average benchmark performance for the price.
- Quality percentile
- 14.3%
- Effective price
- $9.75/1M
- Pricing breakdown
- $3/1M in
$12/1M out
Community ratings
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Comments
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