How much does o1-mini cost?

o1-mini costs $1.10 per million input tokens and $4.40 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.33 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-mini?

o1-mini has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 66K tokens long.

Is o1-mini open source?

We list o1-mini 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-mini compared with other AI models?

On the Epoch Capabilities Index, o1-mini scores 135.7 (likely range 132.4 to 137.2), which ranks 142 of 270 models we track. On Arena's human-vote text board it is ranked 128 of 166. Scores close together are a tie in practice.

How does o1-mini compare with DeepSeek-V3 (Mar 2025)?

DeepSeek-V3 (Mar 2025) scores higher on 5 of 7 shared quality measures, o1-mini on 1. 1 measure is too close to call. DeepSeek-V3 (Mar 2025) costs about 71% less than o1-mini on a blended price of $0.56 against $1.93 per million tokens. See the full comparison for every measure.

How current are these numbers for o1-mini?

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.

AI Rankings

o1-mini: Score, Price and Context Window

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

Data updated 26 Oct 2026

OpenAI
Closed weights
Released Sep 2024

Its score range overlaps with DeepSeek-V3 (Mar 2025), the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score: 135.7; Rank 142 of 270. Likely range 132.4 to 137.2.
Human preference: chat: 1337; Rank 128 of 166. 51,981 votes.
Human preference: coding: 1386; Rank 124 of 166. 8,478 votes.
Price per million tokens: $1.10 in / $4.40 out; Blended $1.93. Cached input $0.55. Median across hosting providers, checked 26 Oct 2026.
Context window: 128K tokens; About 96,000 words at once. One answer up to 66K tokens.
Weights: Closed; Used through the maker's apps or API (Epoch AI: API access).

Features listed by the price list: Tool use, Reasoning, Prompt caching.

Try itChatGPT in our AI tools directoryOpenAI's AI assistant for writing, coding, research, file analysis, and connected work across chats and projects.

How o1-mini 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-mini compared with all models we trackOverall capability: 135.7. Better than 47% of the other 269 models. Human preference: chat: 1337. Better than 23% of the other 165 models. Human preference: coding: 1386. Better than 25% of the other 165 models. Price: $1.93 per 1M. Cheaper than 39% of the other 200 priced models. Context window: 128K tokens. Larger context window than 19% of the other 198 models.

Overall capability135.7
Better than 47% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1337
Better than 23% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1386
Better than 25% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$1.93 per 1M
Cheaper than 39% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window128K tokens
Larger context window than 19% 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.

Where o1-mini ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

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

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.
62.4%
Place 119 of 183
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.
46.9%
Place 118 of 174
Aider Polyglot
225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.
32.9%
Place 34 of 46
ARC-AGI-2
Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.
0.8%
Place 74 of 86
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
18.1%
Place 77 of 80

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.33; 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: $0.11; 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: $1.93 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about o1-mini

How much does o1-mini cost?: o1-mini costs $1.10 per million input tokens and $4.40 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.33 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-mini?: o1-mini has a context window of 128K tokens, roughly 96,000 words of text read at once. A single answer can be up to 66K tokens long.
Is o1-mini open source?: We list o1-mini 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-mini compared with other AI models?: On the Epoch Capabilities Index, o1-mini scores 135.7 (likely range 132.4 to 137.2), which ranks 142 of 270 models we track. On Arena's human-vote text board it is ranked 128 of 166. Scores close together are a tie in practice.
How does o1-mini compare with DeepSeek-V3 (Mar 2025)?: DeepSeek-V3 (Mar 2025) scores higher on 5 of 7 shared quality measures, o1-mini on 1. 1 measure is too close to call. DeepSeek-V3 (Mar 2025) costs about 71% less than o1-mini on a blended price of $0.56 against $1.93 per million tokens. See the full comparison for every measure.
How current are these numbers for o1-mini?: 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