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o1

FreemiumText to TextAPI

OpenAI's o1 trades speed for reasoning depth, letting the model think through hard problems before answering.

$15/1M input tokens, $60/1M output tokens (API); also available via ChatGPT Plus ($20/mo) · Checked Nov 3, 2026

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Summary

o1 is built around a single insight: some problems need deliberate, multi-step reasoning rather than pattern matching at scale. Before generating an answer, the model works through logic chains internally—visible to you—on math proofs, bug-heavy code, and scientific questions where a wrong answer is worse than a slow one. It costs roughly 2–3x more per token than GPT-4o and takes longer to respond, making it a specialist tool rather than a daily driver. The real catch is knowing when you actually need it; using o1 for a summarization task or casual question is like hiring a surgeon to tie your shoes.

Bottom line: *Use when correctness and transparent reasoning outweigh speed; skip for routine tasks or tight-deadline workflows.*

Pricing Plans

SubscriptionLast verified 1 day ago
Price
$15/1M input tokens, $60/1M output tokens (API); also available via ChatGPT Plus ($20/mo)
Cost per 1M Input
$15.00
Cost per 1M Output
$60.00
Free Tier
Unlimited text chats with GPT-6, Limited messages with uploads, Limited image creation, Limited voice chats, Limited deep research, Limited memory and context, Limited Codex access, Limited ChatGPT Work access on desktop

Free

Free

Best for trying out ChatGPT

  • Unlimited text chats with GPT-6
  • Limited messages with uploads
  • Limited image creation
  • Limited voice chats
  • Limited deep research
  • Limited memory and context
  • Limited Codex access
  • Limited ChatGPT Work access on desktop

Go

per month

Best for longer conversations

  • Everything in Free
  • More messages with tools
  • More uploads
  • More image creation
  • More voice chats
  • Longer memory
  • May include ads

Plus

per month

Best for advanced work and productivity

  • Everything in Go
  • Advanced reasoning models with GPT-6
  • Expanded messages and uploads
  • More complex and accurate image creation
  • Expanded deep research
  • Expanded memory and context
  • Projects, scheduled tasks, and custom GPTs
  • Expanded Codex usage
  • Expanded access to ChatGPT Work on desktop, web, and mobile
  • Early access to new features

Pro

per month

Best for research and coding

  • Everything in Plus
  • Choice of 3 usage tiers
  • Pro reasoning powered by GPT-6 Astra
  • Longer Codex and ChatGPT Work sessions
  • Dot, your always-on agent
  • Unlimited and faster image creation
  • Maximum deep research
  • Maximum memory and context
  • Expanded projects, tasks, and custom GPTs
  • Research preview of new features
  • Monthly API credits to build apps and agents

View full pricing on openai.com →

Pricing may have changed since last verified. Check the official site for current plans.

LLM Spec Sheet

Specializations

CodeMathReasoningResearchScienceLong Context
Knowledge BaseTrained through October 2023

Benchmarks

92.3%MMLU
94.5%HumanEval
96.5%GPQA
200k tokensContext Window

Pricing & Limits

Input price
$15.00 / 1M tokens
Output price
$60.00 / 1M tokens
Max output tokens
100,000

Metrics from vendor, updated .

Find your fit

Before you choose o1

More options in Reasoning Models. Compare pricing, platforms, and features side by side.

Browse Reasoning Models

Changelog

  • — Output price first recorded at $60.00/1M · vendor
  • — Input price first recorded at $15.00/1M · vendor
  • — Context first recorded at 200k tokens · vendor
  • — Max output first recorded at 100k tokens · vendor
  • — MMLU first recorded at 92.3% · legacy-discovery
  • — HumanEval first recorded at 94.5% · legacy-discovery
  • — GPQA first recorded at 96.5% · legacy-discovery

Pros

  • Superior reasoning capability on complex problems
  • State-of-the-art performance on STEM benchmarks
  • Transparent reasoning process for verification
  • Robust handling of multi-step logical inference
  • Strong code generation and technical reasoning

Cons

  • Slower inference time than standard LLMs due to reasoning overhead
  • Higher per-token cost reflects computational complexity
  • Optimized for reasoning tasks; may be overkill for simple queries

About

Platforms
Web, API
Languages
English
API Available
Yes
Self-Hosted
No
Last Updated
April 8, 2026

Best For

Who it's for

  • Research and academic applications
  • Advanced coding tasks and algorithm design
  • Scientific reasoning and data analysis
  • Complex problem decomposition
  • High-stakes accuracy requirements

What it does well

  • Mathematical problem solving and proof verification
  • Complex software engineering and code debugging
  • Scientific research and hypothesis evaluation
  • Logic puzzles and constraint satisfaction problems
  • Advanced technical documentation analysis

Integrations

OpenAI API ecosystemChatGPT Plus interface

Frequently Asked Questions

Is o1 free?
o1 offers a free option alongside paid upgrades. Pricing: $15/1M input tokens, $60/1M output tokens (API); also available via ChatGPT Plus ($20/mo). Check the current allowances and terms before choosing a plan.
Does o1 have an API?
Yes. o1 exposes a developer API. See the official documentation at https://openai.com for details.
When was o1 released?
o1 was first released in 2024.
What platforms does o1 support?
o1 is available on: Web, API.
paid

o1 represents a paradigm shift in LLM design, emphasizing deep reasoning and problem-solving over raw scale. Unlike traditional transformer models that generate responses token-by-token, o1 employs an internal reasoning process to work through problems methodically before generating an answer. This architecture enables superior performance on tasks requiring multi-step logic, mathematical proofs, and intricate code generation. The model demonstrates particularly strong capabilities in STEM domains, achieving top-tier results on benchmarks like AIME, GPQA, and coding challenges. o1 trades inference speed for accuracy, making it ideal for complex reasoning tasks where correctness is paramount. The model incorporates safety measures and constitutional AI principles in its reasoning process, ensuring outputs align with intended behaviors.

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