How much does Gemini 3.1 Flash-Lite cost?

Gemini 3.1 Flash-Lite costs $0.25 per million input tokens and $1.50 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.10 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 3.1 Flash-Lite?

Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite open source?

We list Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite compared with other AI models?

On the Epoch Capabilities Index, Gemini 3.1 Flash-Lite scores 144.3 (likely range 142.3 to 145.7), which ranks 93 of 270 models we track. On Arena's human-vote text board it is ranked 81 of 166. Scores close together are a tie in practice.

How does Gemini 3.1 Flash-Lite compare with Grok 4 Fast?

Gemini 3.1 Flash-Lite scores higher on 2 of 4 shared quality measures, Grok 4 Fast on 0. 2 measures are too close to call. See the full comparison for every measure.

How current are these numbers for Gemini 3.1 Flash-Lite?

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 3.1 Flash-Lite: Score, Price and Context Window

Where Gemini 3.1 Flash-Lite 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 Mar 2026

Its score range overlaps with DeepSeek-V3.2-Exp, 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.
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: 144.3; Rank 93 of 270. Likely range 142.3 to 145.7.
Human preference: chat: 1433; Rank 81 of 166. 64,209 votes.
Human preference: coding: 1458; Rank 95 of 166. 17,850 votes.
Human preference: web pages: 1256; Rank 81 of 85. 14,418 votes.
Human preference: images: 1235; Rank 54 of 85. 27,657 votes.
Price per million tokens: $0.25 in / $1.50 out; Blended $0.56. Cached input $0.025. 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 3.1 Flash-Lite 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 3.1 Flash-Lite compared with all models we trackOverall capability: 144.3. Better than 65% of the other 269 models. Human preference: chat: 1433. Better than 51% of the other 165 models. Human preference: coding: 1458. Better than 43% of the other 165 models. Human preference: web pages: 1256. Better than 4% of the other 84 models. Human preference: images: 1235. Better than 36% of the other 84 models. Price: $0.56 per 1M. Cheaper than 65% of the other 200 priced models. Context window: 1M tokens. Larger context window than 84% of the other 198 models.

Overall capability144.3
Better than 65% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1433
Better than 51% of the other 165 modelsUpper half
How often people pick its answers over another model's on Arena.
Human preference: coding1458
Better than 43% of the other 165 models
How often people pick its answers to coding questions on Arena.
Human preference: web pages1256
Better than 4% of the other 84 models
How often people pick the web pages and small apps it builds on Arena.
Human preference: images1235
Better than 36% of the other 84 models
How often people pick its answers about pictures on Arena.
Price$0.56 per 1M
Cheaper than 65% of the other 200 priced modelsUpper half
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 3.1 Flash-Lite 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.
81.8%
Place 83 of 183
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.
80.0%
Place 86 of 174
tied with 1 other
Humanity's Last Exam
A large set of very hard, expert-written questions across many subjects, built to stay difficult for top AI models.
8.6%
Place 30 of 41
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.
27.7%
Place 68 of 87

What it costs in everyday terms

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

100 chats: $0.10; 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: $0.56 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 3.1 Flash-Lite

How much does Gemini 3.1 Flash-Lite cost?: Gemini 3.1 Flash-Lite costs $0.25 per million input tokens and $1.50 per million output tokens, using the list price from Google as of 26 Oct 2026. That is about $0.10 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 3.1 Flash-Lite?: Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite open source?: We list Gemini 3.1 Flash-Lite 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 3.1 Flash-Lite compared with other AI models?: On the Epoch Capabilities Index, Gemini 3.1 Flash-Lite scores 144.3 (likely range 142.3 to 145.7), which ranks 93 of 270 models we track. On Arena's human-vote text board it is ranked 81 of 166. Scores close together are a tie in practice.
How does Gemini 3.1 Flash-Lite compare with Grok 4 Fast?: Gemini 3.1 Flash-Lite scores higher on 2 of 4 shared quality measures, Grok 4 Fast on 0. 2 measures are too close to call. See the full comparison for every measure.
How current are these numbers for Gemini 3.1 Flash-Lite?: 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