How much does Gemini 3.6 Flash cost?

Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.26 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 3.6 Flash?

Gemini 3.6 Flash 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 3.6 Flash open source?

We list Gemini 3.6 Flash 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 3.6 Flash compared with other AI models?

On the Epoch Capabilities Index, Gemini 3.6 Flash scores 154.5 (likely range 152.8 to 156.6), which ranks 41 of 270 models we track. On Arena's human-vote text board it is ranked 19 of 166. Scores close together are a tie in practice.

How does Gemini 3.6 Flash compare with GLM-5.3?

On quality, neither model leads clearly across the 9 measures both have. 3 measures are too close to call. Gemini 3.6 Flash costs about 30% less than GLM-5.3 on a blended price of $1.50 against $2.15 per million tokens. See the full comparison for every measure.

How current are these numbers for Gemini 3.6 Flash?

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 3.6 Flash: Score, Price and Context Window

Where Gemini 3.6 Flash 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 Jul 2026

Its score range overlaps with DeepSeek V4 Flash 0731, 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: 154.5; Rank 41 of 270. Likely range 152.8 to 156.6.
Human preference: chat: 1483; Rank 19 of 166. 36,102 votes, at the "High" setting.
Human preference: coding: 1518; Rank 36 of 166. 10,357 votes, at the "High" setting.
Human preference: web pages: 1538; Rank 37 of 85. 8,758 votes, at the "High" setting.
Human preference: images: 1282; Rank 21 of 85. 8,979 votes, at the "High" setting.
Price per million tokens: $0.75 in / $3.75 out; Blended $1.50. Cached input $0.075. 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 3.6 Flash 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 3.6 Flash compared with all models we trackOverall capability: 154.5. Better than 85% of the other 269 models. Human preference: chat: 1483. Better than 89% of the other 165 models. Human preference: coding: 1518. Better than 78% of the other 165 models. Human preference: web pages: 1538. Better than 57% of the other 84 models. Human preference: images: 1282. Better than 76% of the other 84 models. Price: $1.50 per 1M. Cheaper than 45% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.

Overall capability154.5
Better than 85% of the other 269 modelsTop 25%
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1483
Better than 89% of the other 165 modelsTop 25%
How often people pick its answers over another model's on Arena.
Human preference: coding1518
Better than 78% of the other 165 modelsTop 25%
How often people pick its answers to coding questions on Arena.
Human preference: web pages1538
Better than 57% of the other 84 modelsUpper half
How often people pick the web pages and small apps it builds on Arena.
Human preference: images1282
Better than 76% of the other 84 modelsTop 25%
How often people pick its answers about pictures on Arena.
Price$1.50 per 1M
Cheaper than 45% 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 3.6 Flash 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.
94.1%
Place 10 of 183
SimpleQA Verified
Short factual questions that each have one correct answer. It measures how often a model gets facts right.
66.2%
Place 12 of 82
tied with 1 other
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.
94.2%
Place 45 of 174
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.
60.4%
Place 30 of 86
tied with 2 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.
59.0%
Place 41 of 87
DeepSWE
Software engineering tasks scored as the share solved on the first try (pass@1), run with the open mini-SWE-agent setup.
46.7%
Place 21 of 26

What it costs in everyday terms

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

100 chats: $0.26; 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: $0.07; 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: $1.50 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Compare Gemini 3.6 Flash

Side-by-side pages for the closest rivals.

Similar models

Learn more

Questions about Gemini 3.6 Flash

How much does Gemini 3.6 Flash cost?: Gemini 3.6 Flash costs $0.75 per million input tokens and $3.75 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.26 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 3.6 Flash?: Gemini 3.6 Flash 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 3.6 Flash open source?: We list Gemini 3.6 Flash 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 3.6 Flash compared with other AI models?: On the Epoch Capabilities Index, Gemini 3.6 Flash scores 154.5 (likely range 152.8 to 156.6), which ranks 41 of 270 models we track. On Arena's human-vote text board it is ranked 19 of 166. Scores close together are a tie in practice.
How does Gemini 3.6 Flash compare with GLM-5.3?: On quality, neither model leads clearly across the 9 measures both have. 3 measures are too close to call. Gemini 3.6 Flash costs about 30% less than GLM-5.3 on a blended price of $1.50 against $2.15 per million tokens. See the full comparison for every measure.
How current are these numbers for Gemini 3.6 Flash?: 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