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Favicon for openai

OpenAI: o1

openai/o1

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The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought.

The o1 models are optimized for math, science, programming, and other STEM-related tasks. They consistently exhibit PhD-level accuracy on benchmarks in physics, chemistry, and biology. Learn more in the launch announcementOpens in new tab.

Modalities
In / Out Price
$15 / $60per 1M
Context
200K
Released
Dec 17, 2024
Knowledge Cutoff
Oct 2023
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for OpenAI: o1 (Artificial Analysis and Vals AI)
SourceBenchmarkScore
Artificial Analysiso1 Coding Index39.7
Artificial Analysiso1 GPQA Diamond74.7%
Artificial Analysiso1 HLE7.0%
Artificial Analysiso1 IFBench70.3%
Artificial Analysiso1 τ²-Bench Telecom62.6%
Artificial Analysiso1 AA-LCR65.0%
Artificial Analysiso1 CritPt0.3%
Artificial Analysiso1 LiveCodeBench67.9%
Artificial Analysiso1 Terminal-Bench Hard12.9%
Artificial Analysiso1 MMLU-Pro84.1%
Artificial Analysiso1 AIME72.3%
Artificial Analysiso1 MATH-50097.0%
Artificial Analysiso1-preview Coding Index34.0
Artificial Analysiso1-preview Math Index79.7
Artificial Analysiso1-preview GPQA Diamond76.5%
Artificial Analysiso1-preview MMLU-Pro84.8%
Artificial Analysiso1-preview AIME 202579.7%
Artificial Analysiso1-preview MATH-50092.4%
Vals AIo1 AIME71.5%
Vals AIo1 Finance Agent v120.8%
Vals AIo1 GPQA Diamond73.2%
Vals AIo1 LiveCodeBench50.3%
Vals AIo1 LegalBench80.4%
Vals AIo1 MATH 50090.4%
Vals AIo1 MedQA96.5%
Vals AIo1 MGSM89.3%
Vals AIo1 MMLU Pro83.5%
Vals AIo1 MMMU Pro77.4%
Vals AIo1 TaxEval v274.3%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

Not currently available through EU in-region routing. In-region routing docs

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0.00%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
0.00%

Availability over the last 3 days

Last 72 hours
Availability 0.00%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
0.00%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learning to reason using chain of thought. The o1 models are optimized for math, science, programming, and other STEM-related tasks.

o1 costs $15.00/M input tokens and $60.00/M output tokens, with separate rates for Cache Read at $7.50/M tokens.

o1 has a 200,000 token context window. It supports up to 100,000 completion tokens.

Yes. o1 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

o1 accepts text, images, and files such as PDFs as input and returns text.

GPT-6.1 Terra Pro, GPT-6.1 Terra, GPT-6 Luna Decisions and 62 more are other text models from OpenAI.

o1 was released on December 17, 2024. Its knowledge cutoff is October 31, 2023.