OpenAI model product
o1-mini is a cost-efficient language model developed by OpenAI, designed for advanced reasoning tasks while minimizing computational resources.
Updated Aug 17, 2026. Default version: o1-mini
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for o1-mini.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkSuperGLUE | Score75.0% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkCybersecurity CTFs | Score28.7% | Rank03 | Participants3 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score92.4% | Rank07 | Participants66 | Percentile90.8% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score90.0% | Rank28 | Participants32 | Percentile12.9% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score85.2% | Rank41 | Participants101 | Percentile60.0% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score60.0% | Rank163 | Participants239 | Percentile31.9% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryoverall | Rank212 | Rating / score1317.2 | Votes51,981 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank212 | Rating / score1337.0 | Votes51,981 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderHelicone | Provider model IDo1-mini | Regionglobal | Input / 1M$1.1 | Output / 1M$4.4 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for o1-mini. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderOpenAI | Output Speed115 tok/s | Catalog Latency5.2 s | Max Input128K | Max Output65.5K | Updated |
| ProviderAzure | Output Speed100 tok/s | Catalog Latency0.5 s | Max Input128K | Max Output65.5K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| Versiono1-mini | Released | LLMBoard16.1 | ParametersN/A | Context128K | Max output65.5K | Open weightsNo | LicenseProprietary |
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Key information about o1 mini and its available data.
o1-mini is a cost-efficient language model developed by OpenAI, designed for advanced reasoning tasks while minimizing computational resources.
Data as of 2026-08-17.
Common questions about o1 mini.
o1 mini's default version was released on Sep 12, 2024.
No official standard PAYG price is currently available for o1 mini. The lowest tracked third-party offer starts at $1.1 input and $4.4 output via Helicone.
o1 mini was created by OpenAI.
The default version has a 128K token context window.
No. The default version is not marked as having publicly available weights.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include Devstral Small 1.1, Nova 2 Sonic, Claude Opus 3.