How much does Gemini 2.5 Pro (Jun 2025) cost?

Gemini 2.5 Pro (Jun 2025) costs $1.25 per million input tokens and $10.00 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.63 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 Gemini 2.5 Pro (Jun 2025)?

Gemini 2.5 Pro (Jun 2025) has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 66K tokens long.

Is Gemini 2.5 Pro (Jun 2025) open source?

We list Gemini 2.5 Pro (Jun 2025) 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 Gemini 2.5 Pro (Jun 2025) compared with other AI models?

On the Epoch Capabilities Index, Gemini 2.5 Pro (Jun 2025) scores 145.1 (likely range 143.4 to 146.7), which ranks 90 of 270 models we track. On Arena's human-vote text board it is ranked 65 of 166. Scores close together are a tie in practice.

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

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 Gemini 2.5 Pro (Jun 2025)?

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

Gemini 2.5 Pro (Jun 2025): Score, Price and Context Window

Where Gemini 2.5 Pro (Jun 2025) from Google ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Google
Closed weights
Released Jun 2025

Its score range overlaps with GPT-5 mini, 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: 145.1; Rank 90 of 270. Likely range 143.4 to 146.7.
Human preference: chat: 1446; Rank 65 of 166. 125,316 votes.
Human preference: coding: 1464; Rank 89 of 166. 26,939 votes.
Human preference: web pages: 1227; Rank 83 of 85. 2,729 votes.
Human preference: images: 1248; Rank 47 of 85. 88,755 votes.
Price per million tokens: $1.25 in / $10.00 out; Blended $3.44. Cached input $0.13. List price from Google, checked 26 Oct 2026.
Context window: 1M tokens; About 786,000 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: Image input, PDF input, Audio input, Tool use, Reasoning, Web search, Prompt caching, Structured output.

Try itGoogle Gemini in our AI tools directoryGoogle's AI assistant for writing, planning, research, and multimodal tasks, with optional Google AI subscriptions.

How Gemini 2.5 Pro (Jun 2025) 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.

Gemini 2.5 Pro (Jun 2025) compared with all models we trackOverall capability: 145.1. Better than 66% of the other 269 models. Human preference: chat: 1446. Better than 61% of the other 165 models. Human preference: coding: 1464. Better than 46% of the other 165 models. Human preference: web pages: 1227. Better than 2% of the other 84 models. Human preference: images: 1248. Better than 45% of the other 84 models. Price: $3.44 per 1M. Cheaper than 27% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.

Overall capability145.1
Better than 66% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1446
Better than 61% of the other 165 modelsUpper half
How often people pick its answers over another model's on Arena.
Human preference: coding1464
Better than 46% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: web pages1227
Better than 2% of the other 84 models
How often people pick the web pages and small apps it builds on Arena.
Human preference: images1248
Better than 45% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$3.44 per 1M
Cheaper than 27% of the other 200 priced models
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window1M tokens
Larger context window than 84% 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 Gemini 2.5 Pro (Jun 2025) 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.

Aider Polyglot
225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.
83.1%
Place 3 of 46
SimpleBench
Everyday common-sense and trick questions that most people answer correctly but AI models often get wrong.
62.4%
Place 17 of 80
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.
85.3%
Place 69 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.
84.7%
Place 76 of 174
Humanity's Last Exam
A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.
21.6%
Place 19 of 41
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.
32.6%
Place 17 of 25
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.
4.9%
Place 59 of 86
tied with 3 others
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.
24.6%
Place 71 of 87
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.
57.6%
Place 30 of 32

What it costs in everyday terms

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

100 chats: $0.63; 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: $0.13; 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: $3.44 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 Gemini 2.5 Pro (Jun 2025)

How much does Gemini 2.5 Pro (Jun 2025) cost?: Gemini 2.5 Pro (Jun 2025) costs $1.25 per million input tokens and $10.00 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.63 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 Gemini 2.5 Pro (Jun 2025)?: Gemini 2.5 Pro (Jun 2025) has a context window of 1M tokens, roughly 786,000 words of text read at once. A single answer can be up to 66K tokens long.
Is Gemini 2.5 Pro (Jun 2025) open source?: We list Gemini 2.5 Pro (Jun 2025) 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 Gemini 2.5 Pro (Jun 2025) compared with other AI models?: On the Epoch Capabilities Index, Gemini 2.5 Pro (Jun 2025) scores 145.1 (likely range 143.4 to 146.7), which ranks 90 of 270 models we track. On Arena's human-vote text board it is ranked 65 of 166. Scores close together are a tie in practice.
How does Gemini 2.5 Pro (Jun 2025) compare with GPT-5 mini?: 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 Gemini 2.5 Pro (Jun 2025)?: 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