How much does GPT-5 nano cost?

GPT-5 nano costs $0.05 per million input tokens and $0.40 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.03 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 GPT-5 nano?

GPT-5 nano has a context window of 272K tokens, roughly 204,000 words of text read at once. A single answer can be up to 128K tokens long.

Is GPT-5 nano open source?

We list GPT-5 nano 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 GPT-5 nano compared with other AI models?

On the Epoch Capabilities Index, GPT-5 nano scores 139.2 (likely range 134.1 to 141.2), which ranks 127 of 270 models we track. On Arena's human-vote text board it is ranked 127 of 166. Scores close together are a tie in practice.

How does GPT-5 nano compare with Qwen3-235B-A22B?

Qwen3-235B-A22B scores higher on 2 of 4 shared quality measures, GPT-5 nano on 0. 2 measures are too close to call. GPT-5 nano costs about 63% less than Qwen3-235B-A22B on a blended price of $0.14 against $0.37 per million tokens. See the full comparison for every measure.

How current are these numbers for GPT-5 nano?

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

GPT-5 nano: Score, Price and Context Window

Where GPT-5 nano 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 Aug 2025

Its score range overlaps with Qwen3.5-9B, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Keeping costs low: it is among the cheapest 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: 139.2; Rank 127 of 270. Likely range 134.1 to 141.2.
Human preference: chat: 1338; Rank 127 of 166. 8,134 votes, at the "High" setting.
Human preference: coding: 1385; Rank 126 of 166. 1,665 votes, at the "High" setting.
Human preference: images: 1147; Rank 76 of 85. 3,928 votes, at the "High" setting.
Price per million tokens: $0.05 in / $0.40 out; Blended $0.14. Cached input $0.005. List price from OpenAI, checked 26 Oct 2026.
Context window: 272K tokens; About 204,000 words at once. One answer up to 128K 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, Web search, Prompt caching, Structured output.

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

How GPT-5 nano 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.

GPT-5 nano compared with all models we trackOverall capability: 139.2. Better than 53% of the other 269 models. Human preference: chat: 1338. Better than 23% of the other 165 models. Human preference: coding: 1385. Better than 24% of the other 165 models. Human preference: images: 1147. Better than 10% of the other 84 models. Price: $0.14 per 1M. Cheaper than 90% of the other 200 priced models. Context window: 272K tokens. Larger context window than 61% of the other 198 models.

Overall capability139.2
Better than 53% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1338
Better than 23% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1385
Better than 24% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: images1147
Better than 10% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$0.14 per 1M
Cheaper than 90% of the other 200 priced modelsTop 10%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window272K tokens
Larger context window than 61% of the other 198 modelsUpper half
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 GPT-5 nano 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.

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.
81.1%
Place 85 of 174
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.
69.4%
Place 107 of 183
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.
2.6%
Place 67 of 86
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.
20.0%
Place 75 of 87
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
11.7%
Place 78 of 82
tied with 1 other
Terminal-Bench
Tasks done in a computer terminal, such as setting up software or fixing a broken build, checked by automatic tests. Scores here use the benchmark's standard reference agent so models are compared on the same footing.
7.9%
Place 24 of 25

What it costs in everyday terms

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

100 chats: $0.03; 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: less than $0.01; 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: $0.14 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 GPT-5 nano

How much does GPT-5 nano cost?: GPT-5 nano costs $0.05 per million input tokens and $0.40 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.03 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 GPT-5 nano?: GPT-5 nano has a context window of 272K tokens, roughly 204,000 words of text read at once. A single answer can be up to 128K tokens long.
Is GPT-5 nano open source?: We list GPT-5 nano 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 GPT-5 nano compared with other AI models?: On the Epoch Capabilities Index, GPT-5 nano scores 139.2 (likely range 134.1 to 141.2), which ranks 127 of 270 models we track. On Arena's human-vote text board it is ranked 127 of 166. Scores close together are a tie in practice.
How does GPT-5 nano compare with Qwen3-235B-A22B?: Qwen3-235B-A22B scores higher on 2 of 4 shared quality measures, GPT-5 nano on 0. 2 measures are too close to call. GPT-5 nano costs about 63% less than Qwen3-235B-A22B on a blended price of $0.14 against $0.37 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-5 nano?: 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