This model is deprecated. We still benchmark its performance, but less often: every 18 hours instead of every 6.

OpenAI has launched a newer release, o3. We suggest considering it instead.

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Proprietary model

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Released September 2024

o1-preview: Intelligence, Performance & Price Analysis

Name: Intelligence
Creator: Artificial Analysis
License: https://artificialanalysis.ai/docs/legal/Terms-of-Use.pdf

Try it out

Available providers

Microsoft Azure

IntelligenceUpdated

N/A

Artificial Analysis Intelligence Index

Performance

N/A

Time per Intelligence Index task (minutes)

Cost

In $16.50Out $66.00Cache discount 50%

N/A

Cost per Intelligence Index task

Verbosity

N/A

Output tokens from Intelligence Index

o1-preview supports text input, outputs text, and has a 128k tokens context window with knowledge up to October 2023.

Pricing for o1-preview is $16.50 per 1M input tokens (expensive, median: $2.00) and $66.00 per 1M output tokens (expensive, median: $10.00).

Reasoning	Yes
Input modality	Supports: text
Output modality	Supports: text
Knowledge cutoff	Oct 1, 2023
Context window	128k ~192 A4 pages of size 12 Arial font

Metrics are compared against models of the same class:

Non-reasoning models → compared only with other non-reasoning models
Reasoning models → compared across both reasoning and non-reasoning
Open weights models → compared only with other open weights models of the same size class:

Tiny: ≤4B parameters
Small: 4B–40B parameters
Medium: 40B–150B parameters
Large: >150B parameters

Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:

<$0.15 per 1M tokens
$0.15–$1 per 1M tokens
>$1 per 1M tokens

Updated

Intelligence

Artificial Analysis Intelligence Index · Higher is better

No publicly available API

Time per Task

Inference time (minutes) per Intelligence Index task · Lower is better

No publicly available API

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better

No publicly available API

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v5.0.1 incorporates 9 evaluations: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode-AA 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), and Terminal-Bench-Science 0.1

Artificial Analysis Intelligence Index v5.0.1 includes: AA-Briefcase v1.1, AutomationBench-AA, Terminal-Bench 4.0, FrontierCode-AA 2.0, AA-Omniscience v1.1, GDP.pdf, HLE-Diamond, CritPt v2 (Hard Subset), Terminal-Bench-Science 0.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them.

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use.

Intelligence Index vs. Cost per Task

Artificial Analysis Intelligence Index · Weighted average cost (USD) per Artificial Analysis Intelligence Index task

Most attractive quadrant

Pareto line

Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight.

Cost

Cost per Intelligence Index Task

Weighted average cost (USD) per Intelligence Index task · Segmented by token type · Lower is better

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index

The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input, cache hit, cache write, reasoning, and answer token prices and the number of tokens used across evaluations (excluding repeats).

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens)

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Context Window

Context window: tokens limit · Higher is better

Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data.

Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model).

Further details

								Weights
o1-preview	OpenAI	-	-	128k	$15.68	-	-	Not available

Frequently Asked Questions

Common questions about o1-preview

o1-preview was released on September 12, 2024.

o1-preview was created by OpenAI.

o1-preview costs $16.50 per 1M input tokens (at the higher end, median: $2.00) and $66.00 per 1M output tokens (at the higher end, median: $10.00), based on the median across providers serving the model.

o1-preview costs $16.50 per 1M input tokens and $66.00 per 1M output tokens (based on the median across providers serving the model). For a blended rate (7:2:1 cache hit/input/output ratio), this is $15.68 per 1M tokens. Pricing may vary by provider. Compare provider pricing

Yes, o1-preview is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

o1-preview supports text input.

o1-preview supports text output.

No, o1-preview does not support image input. It can only process text.

No, o1-preview is not multimodal. It only supports text input.

o1-preview has a context window of 128k tokens. This determines how much text and conversation history the model can process in a single request.

No, o1-preview is proprietary. The model weights are not publicly available.

o1-preview is a proprietary model and OpenAI has not disclosed the model size or parameter count.

o1-preview has a knowledge cutoff of October 2023. The model's training data includes information up to this date.

Yes, o1-preview is available via API through 1 provider. Compare API providers

o1-preview is available through 1 API provider. Compare providers

o1-preview: Intelligence, Performance & Price Analysis

Model summary

IntelligenceUpdated

Performance

Cost

Verbosity

Technical specifications

242 models in this class

Intelligence

Time per Task

Cost per Task

IntelligenceUpdated

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index

Open Weights

Intelligence Index vs. Cost per Task

Cost per Intelligence Index Task

Artificial Analysis Intelligence Index

Cost

Cost per Intelligence Index Task

Cost per Intelligence Index Task

Cost to Run Artificial Analysis Intelligence Index

Cost to Run Artificial Analysis Intelligence Index

Pricing: Cache Hit, Input, and Output

Cache Hit

Context Window

Context Window

Context Window for RAG

Context Window

Further details

More from OpenAI

Frequently Asked Questions

When was o1-preview released?

Who created o1-preview?

How much does o1-preview cost?

What is o1-preview API pricing?

Is o1-preview a reasoning model?

What input modalities does o1-preview support?

What output modalities does o1-preview support?

Can o1-preview process images?

Is o1-preview multimodal?

What is the context window of o1-preview?

Is o1-preview open source?

How many parameters does o1-preview have?

What is the knowledge cutoff date for o1-preview?

Is o1-preview available via API?

Where can I use o1-preview?