OpenAI model product
A research preview model focused on mathematical and logical reasoning capabilities, demonstrating improved performance on tasks requiring step-by-step reasoning, mathematical problem-solving, and code generation.
Updated Aug 17, 2026. Default version: o1
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for o1.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkGPQA Biology | Score69.2% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkGPQA Chemistry | Score64.7% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkGPQA Physics | Score92.8% | Rank01 | Participants1 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMATH | Score96.4% | Rank02 | Participants71 | Percentile98.6% | EvidenceC | Evaluated |
| BenchmarkMMLU | Score91.8% | Rank02 | Participants101 | Percentile99.0% | EvidenceC | Evaluated |
| BenchmarkGSM8k | Score97.1% | Rank03 | Participants48 | Percentile95.7% | EvidenceC | Evaluated |
| BenchmarkMGSM | Score89.3% | Rank10 | Participants31 | Percentile70.0% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Retail | Score70.8% | Rank10 | Participants25 | Percentile62.5% | EvidenceC | Evaluated |
| BenchmarkMathVista | Score71.8% | Rank12 | Participants39 | Percentile71.0% | EvidenceC | Evaluated |
| BenchmarkTAU-bench Airline | Score50.0% | Rank12 | Participants23 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkFrontierMath | Score5.5% | Rank17 | Participants17 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkSimpleQA | Score47.0% | Rank17 | Participants47 | Percentile65.2% | EvidenceC | Evaluated |
| BenchmarkMMMU | Score77.6% | Rank18 | Participants63 | Percentile72.6% | EvidenceC | Evaluated |
| BenchmarkMMMLU | Score87.7% | Rank19 | Participants49 | Percentile62.5% | EvidenceC | Evaluated |
| BenchmarkHumanEval | Score88.1% | Rank26 | Participants66 | Percentile61.5% | EvidenceC | Evaluated |
| BenchmarkLiveBench | Score67.0% | Rank33 | Participants38 | Percentile13.5% | EvidenceC | Evaluated |
| BenchmarkAIME 2024 | Score74.3% | Rank35 | Participants53 | Percentile34.6% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score78.0% | Rank100 | Participants239 | Percentile58.4% | EvidenceC | Evaluated |
| BenchmarkSWE-Bench Verified | Score41.0% | Rank101 | Participants111 | Percentile9.1% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenavision style control | Categoryoverall | Rank76 | Rating / score1193.4 | Votes3,694 | ObservationsN/A | Result date |
| Arenavision | Categoryoverall | Rank89 | Rating / score1168.6 | Votes3,694 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank136 | Rating / score1402.2 | Votes27,807 | ObservationsN/A | Result date |
| Arenatext | Categoryoverall | Rank166 | Rating / score1365.9 | Votes27,807 | 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 |
|---|
| ProviderOpenAI | Provider model IDo1 | Regionglobal | Input / 1M$15 | Output / 1M$60 | Context200K | 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. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderOpenAI | Output Speed66 tok/s | Catalog Latency16.2 s | Max Input200K | Max Output100K | Updated |
| ProviderAzure | Output Speed16 tok/s | Catalog Latency0.54 s | Max Input200K | Max Output100K | 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 | Released | LLMBoard35.9 | ParametersN/A | Context200K | Max output100K | Open weightsNo | LicenseProprietary |
| Versiono1-preview | Released | LLMBoardN/A | ParametersN/A | Context128K | Max output32.8K | Open weightsNo | LicenseProprietary |
Open a comparison with the three ranked models immediately above and below this model.
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Key information about o1 and its available data.
A research preview model focused on mathematical and logical reasoning capabilities, demonstrating improved performance on tasks requiring step-by-step reasoning, mathematical problem-solving, and code generation. The model shows enhanced capabilities in formal reasoning while maintaining strong general capabilities.
Data as of 2026-08-17.
Common questions about o1.
o1's default version was released on Dec 17, 2024.
o1's official API price is $15 per million input tokens and $60 per million output tokens via OpenAI.
o1 was created by OpenAI.
The default version has a 200K 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 North Mini Code 1.0, MiniMax M1 80K, LongCat Flash Chat.