How much does GPT-4.1 nano cost?

GPT-4.1 nano costs $0.10 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-4.1 nano?

GPT-4.1 nano has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 33K tokens long.

Is GPT-4.1 nano open source?

We list GPT-4.1 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-4.1 nano compared with other AI models?

On the Epoch Capabilities Index, GPT-4.1 nano scores 129.5 (likely range 123.3 to 131.8), which ranks 162 of 270 models we track. On Arena's human-vote text board it is ranked 135 of 166. Scores close together are a tie in practice.

How does GPT-4.1 nano compare with Llama 4 Scout?

On quality, neither model leads clearly across the 4 measures both have. 2 measures are too close to call. Their blended prices are similar ($0.18 and $0.15 per million tokens). See the full comparison for every measure.

How current are these numbers for GPT-4.1 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-4.1 nano: Score, Price and Context Window

Where GPT-4.1 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 Apr 2025

Its score range overlaps with Llama 4 Scout, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Very long documents: its context window is 1M tokens, roughly 786,000 words.

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

Key facts

Overall score: 129.5; Rank 162 of 270. Likely range 123.3 to 131.8.
Human preference: chat: 1322; Rank 135 of 166. 6,103 votes.
Human preference: coding: 1373; Rank 130 of 166. 807 votes.
Human preference: images: 1089; Rank 82 of 85. 1,211 votes.
Price per million tokens: $0.10 in / $0.40 out; Blended $0.18. Cached input $0.025. List price from OpenAI, checked 26 Oct 2026.
Context window: 1M tokens; About 786,000 words at once. One answer up to 33K 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, 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-4.1 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-4.1 nano compared with all models we trackOverall capability: 129.5. Better than 40% of the other 269 models. Human preference: chat: 1322. Better than 18% of the other 165 models. Human preference: coding: 1373. Better than 21% of the other 165 models. Human preference: images: 1089. Better than 3% of the other 84 models. Price: $0.18 per 1M. Cheaper than 85% of the other 200 priced models. Context window: 1M tokens. Larger context window than 83% of the other 198 models.

Overall capability129.5
Better than 40% of the other 269 models
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1322
Better than 18% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1373
Better than 21% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: images1089
Better than 3% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$0.18 per 1M
Cheaper than 85% of the other 200 priced modelsTop 25%
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window1M tokens
Larger context window than 83% of the other 198 modelsTop 25%
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-4.1 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.
28.9%
Place 127 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.
48.9%
Place 141 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.
0.0%
Place 79 of 86
tied with 7 others
Aider Polyglot
225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.
8.9%
Place 44 of 46
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
6.0%
Place 82 of 82

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: $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: $0.18 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-4.1 nano

How much does GPT-4.1 nano cost?: GPT-4.1 nano costs $0.10 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-4.1 nano?: GPT-4.1 nano has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 33K tokens long.
Is GPT-4.1 nano open source?: We list GPT-4.1 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-4.1 nano compared with other AI models?: On the Epoch Capabilities Index, GPT-4.1 nano scores 129.5 (likely range 123.3 to 131.8), which ranks 162 of 270 models we track. On Arena's human-vote text board it is ranked 135 of 166. Scores close together are a tie in practice.
How does GPT-4.1 nano compare with Llama 4 Scout?: On quality, neither model leads clearly across the 4 measures both have. 2 measures are too close to call. Their blended prices are similar ($0.18 and $0.15 per million tokens). See the full comparison for every measure.
How current are these numbers for GPT-4.1 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