How much does GPT-5 mini cost?

GPT-5 mini costs $0.25 per million input tokens and $2.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.13 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 mini?

GPT-5 mini 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 mini open source?

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

On the Epoch Capabilities Index, GPT-5 mini scores 145.3 (likely range 143.3 to 147.1), which ranks 89 of 270 models we track. On Arena's human-vote text board it is ranked 110 of 166. Scores close together are a tie in practice.

How does GPT-5 mini compare with Gemini 2.5 Pro (Jun 2025)?

Gemini 2.5 Pro (Jun 2025) scores higher on 6 of 11 shared quality measures, GPT-5 mini on 2. 3 measures are too close to call. GPT-5 mini costs about 80% less than Gemini 2.5 Pro (Jun 2025) on a blended price of $0.69 against $3.44 per million tokens. See the full comparison for every measure.

How current are these numbers for GPT-5 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

GPT-5 mini: Score, Price and Context Window

Where GPT-5 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 Aug 2025

Its score range overlaps with o4-mini, the model just above it, so a small gap in rank is not a meaningful difference.

Key facts

Overall score: 145.3; Rank 89 of 270. Likely range 143.3 to 147.1.
Human preference: chat: 1390; Rank 110 of 166. 26,799 votes, at the "High" setting.
Human preference: coding: 1432; Rank 114 of 166. 5,515 votes, at the "High" setting.
Human preference: images: 1184; Rank 70 of 85. 28,943 votes, at the "High" setting.
Price per million tokens: $0.25 in / $2.00 out; Blended $0.69. Cached input $0.025. 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 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.

GPT-5 mini compared with all models we trackOverall capability: 145.3. Better than 67% of the other 269 models. Human preference: chat: 1390. Better than 33% of the other 165 models. Human preference: coding: 1432. Better than 31% of the other 165 models. Human preference: images: 1184. Better than 17% of the other 84 models. Price: $0.69 per 1M. Cheaper than 62% of the other 200 priced models. Context window: 272K tokens. Larger context window than 61% of the other 198 models.

Overall capability145.3
Better than 67% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1390
Better than 33% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1432
Better than 31% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: images1184
Better than 17% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$0.69 per 1M
Cheaper than 62% of the other 200 priced modelsUpper half
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 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.

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.
86.7%
Place 67 of 174
tied with 5 others
Humanity's Last Exam
A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.
19.4%
Place 21 of 41
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.
75.0%
Place 100 of 183
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.
46.7%
Place 53 of 87
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.
4.4%
Place 63 of 86
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.
24.0%
Place 20 of 25
SWE-bench Verified
Real bug reports from open-source software projects. The AI has to change the code so the project's own tests pass. The tasks were checked by people.
64.7%
Place 26 of 32
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
21.6%
Place 68 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: $0.13; 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: $0.03; 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: $0.69 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 mini

How much does GPT-5 mini cost?: GPT-5 mini costs $0.25 per million input tokens and $2.00 per million output tokens, using the list price from OpenAI as of 26 Oct 2026. That is about $0.13 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 mini?: GPT-5 mini 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 mini open source?: We list GPT-5 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 GPT-5 mini compared with other AI models?: On the Epoch Capabilities Index, GPT-5 mini scores 145.3 (likely range 143.3 to 147.1), which ranks 89 of 270 models we track. On Arena's human-vote text board it is ranked 110 of 166. Scores close together are a tie in practice.
How does GPT-5 mini compare with Gemini 2.5 Pro (Jun 2025)?: Gemini 2.5 Pro (Jun 2025) scores higher on 6 of 11 shared quality measures, GPT-5 mini on 2. 3 measures are too close to call. GPT-5 mini costs about 80% less than Gemini 2.5 Pro (Jun 2025) on a blended price of $0.69 against $3.44 per million tokens. See the full comparison for every measure.
How current are these numbers for GPT-5 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