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Model details

o1

OpenAI o1 is presented as a model series built around deliberate reasoning before response generation. Its central design idea is to spend substantially more computation during inference, using long hidden chain-of-thought processing rather than relying only on immediate prediction.

This orientation makes o1 a better fit for difficult problems that benefit from extended analysis, especially tasks where a longer internal reasoning process can improve the quality of the final answer. The evidence supports a reasoning-focused role and increased inference-time capability, but does not establish a detailed architecture, training recipe, or benchmark profile.

OpenRouteropenai/o1o

Quick Info

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Provider
OpenRouter
Model key
openai/o1
Release date
Dec 5, 2024
Last updated
Dec 5, 2024
Knowledge cutoff
2023-09
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$15.00
Output token cost
$60.00

Limits

Output tokens
100,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about o1

OpenRouter

Official sourceBenchmark

OpenRouter's listing for openai/o1 shows the model is hosted exclusively by OpenAI with no multi-provider failover, listed at $15 per 1M input tokens and $60 per 1M output tokens (cache reads at $7.50/M), a 200K context window, a Dec 17, 2024 release date, and an October 2023 knowledge cutoff. The page reports a weight Recent performance telemetry on the same page shows a P50 throughput of 149 tok/s (best across providers) and P50 latency around 2.04–2.34s, with a 100% uptime window. The page also surfaces a cache hit rate averaging roughly 55%, a tool-call error rate of 0.00%, and a notable structured-output error rate of 8.57%, a c

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