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AI Rankings

o1: Score, Price and Context Window

Where o1 from OpenAI ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated

  • OpenAI
  • Closed weights
  • Released Dec 2024

Its score range overlaps with Gemma 4 26B A4B, the model just above it, so a small gap in rank is not a meaningful difference.

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  • Tight budgets: it is among the priciest quarter of models in the top half by score.

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score
141.7
Rank 112 of 270. Likely range 139.7 to 142.9.
Human preference: chat
1402
Rank 100 of 166. 27,807 votes.
Human preference: coding
1433
Rank 112 of 166. 3,973 votes.
Human preference: images
1193
Rank 68 of 85. 3,694 votes.
Price per million tokens
$15.00 in / $60.00 out
Blended $26.25. Cached input $7.50. List price from OpenAI, checked 26 Oct 2026.
Context window
200K tokens
About 150,000 words at once. One answer up to 100K tokens.
Weights
Closed
Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Image input, PDF input, Tool use, Reasoning, Prompt caching, Structured output.

How o1 stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.
o1 compared with all models we trackOverall capability: 141.7. Better than 58% of the other 269 models. Human preference: chat: 1402. Better than 40% of the other 165 models. Human preference: coding: 1433. Better than 32% of the other 165 models. Human preference: images: 1193. Better than 19% of the other 84 models. Price: $26.25 per 1M. Cheaper than 5% of the other 200 priced models. Context window: 200K tokens. Larger context window than 39% of the other 198 models.
  • Overall capability141.7

    Better than 58% of the other 269 modelsUpper half

    Epoch Capabilities Index: one score that combines many tests.

  • Human preference: chat1402

    Better than 40% of the other 165 models

    How often people pick its answers over another model's on Arena.

  • Human preference: coding1433

    Better than 32% of the other 165 models

    How often people pick its answers to coding questions on Arena.

  • Human preference: images1193

    Better than 19% of the other 84 models

    How often people pick its answers about pictures on Arena.

  • Price$26.25 per 1M

    Cheaper than 5% of the other 200 priced models

    Blended price per million tokens. Lower is better, so the cheapest models sit on the right.

  • Context window200K tokens

    Larger context window than 39% of the other 198 models

    How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.
  • Aider Polyglot

    225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.

  • GPQA Diamond

    Very hard multiple-choice science questions in biology, physics and chemistry, written by experts and designed so a quick web search does not give the answer.

  • OTIS Mock AIME

    Maths competition problems in the style of the US AIME exam, from the 2024 and 2025 sets. Every answer is a whole number.

    73.3%

    Place 91 of 174

    tied with 2 others

  • SimpleQA Verified

    Short factual questions that each have one correct answer. It measures how often a model gets facts right.

  • SimpleBench

    Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.

  • Humanity's Last Exam

    A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.

  • FrontierMath (Tiers 1-3)

    Original, very hard maths problems written by mathematicians. Each has an exact answer and the problems are kept private so models cannot have memorised them. This is the Tiers 1 to 3 set, version 2.

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.
100 chats
$4.50
Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book
$1.50
Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price
$26.25 per 1M
Three parts input to one part output. Our own calculation for comparing models.

Assumptions: 100 chats of about 1,000 tokens in and 500 tokens back. a 300-page book of about 100,000 tokens, read once with no reply.

Questions about o1

How much does o1 cost?
o1 costs $15.00 per million input tokens and $60.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $4.50 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of o1?
o1 has a context window of 200K tokens, roughly 150,000 words of text read at once. A single answer can be up to 100K tokens long.
Is o1 open source?
We list o1 as closed: it is used through its maker's apps or API and its weights are not published (Epoch AI lists its access as "API access").
How good is o1 compared with other AI models?
On the Epoch Capabilities Index, o1 scores 141.7 (likely range 139.7 to 142.9), which ranks 112 of 270 models we track. On Arena's human-vote text board it is ranked 100 of 166. Scores close together are a tie in practice.
How does o1 compare with Claude Sonnet 4?
Claude Sonnet 4 scores higher on 3 of 9 shared quality measures, o1 on 1. 5 measures are too close to call. Claude Sonnet 4 costs about 77% less than o1 on a blended price of $6.00 against $26.25 per million tokens. See the full comparison for every measure.
How current are these numbers for o1?
The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

  • Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
  • Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
  • LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake

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