How much does Gemini 3.1 Flash Lite Preview cost?

Gemini 3.1 Flash Lite Preview costs $0.25/M input tokens and $1.50/M output tokens, with separate rates for Cache Read at $0.025/M tokens, Cache Write at $0.08333/M tokens, Image Input at $0.25/M tokens, Input Audio at $0.50/M tokens, Input Audio Cache at $0.05/M tokens, and Web Search at $14.00/1K calls.

What is the context length of Gemini 3.1 Flash Lite Preview?

Gemini 3.1 Flash Lite Preview has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Does Gemini 3.1 Flash Lite Preview support tool calling and structured outputs?

Yes. Gemini 3.1 Flash Lite Preview accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Gemini 3.1 Flash Lite Preview support?

Gemini 3.1 Flash Lite Preview accepts text, images, video, files such as PDFs, and audio as input and returns text.

Which providers serve Gemini 3.1 Flash Lite Preview?

Gemini 3.1 Flash Lite Preview is served by 1 provider on OpenRouter: Google AI Studio.

What other text models does Google have?

Gemini 4 Hydrogen, Gemini Decision 1, Gemini 4 Carbon and 31 more are other text models from Google.

When was Gemini 3.1 Flash Lite Preview released?

Gemini 3.1 Flash Lite Preview was released on March 3, 2026.

Google: Gemini 3.1 Flash Lite Preview

google/gemini-3.1-flash-lite-preview

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Gemini 3.1 Flash Lite Preview is Google's high-efficiency model optimized for high-volume use cases. It outperforms Gemini 2.5 Flash Lite on overall quality and approaches Gemini 2.5 Flash performance across key capabilities. Improvements span audio input/ASR, RAG snippet ranking, translation, data extraction, and code completion. Supports full thinking levels (minimal, low, medium, high) for fine-grained cost/performance trade-offs. Priced at half the cost of Gemini 3 Flash.

Modalities

In / out price

$0.25 / $1.50per 1M

Context

1.0M

Released

Mar 3, 2026

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.25	$1.50	$0.025	$0.05	0.77s	169 tok/s	100.00%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.125	$0.75	$0.0125	$0.025	0.47s	136 tok/s	100.00%
Priority	$0.45	$2.70	$0.045	$0.09	0.64s	113 tok/s	100.00%

Input $0.25Output $1.50
169 tok/s100.00% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.125Output $0.75
Flex
136 tok/s100.00% uptime
Input $0.45Output $2.70
Priority
113 tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.1788/M tokens

Output

$1.444/M tokens

Gemini 3.1 Flash Lite Preview — Price history

Price history

No effective price data for this selection

		$0.181	$1.499	31.1%	92.5%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.118	$0.748	6.1%	6.0%
	Priority	$0.300	$2.685	37.1%	1.5%

Effective in $0.181Effective out $1.499
Token share
92.5%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.118Effective out $0.748
FlexToken share
6.0%
Effective in $0.300Effective out $2.685
PriorityToken share
1.5%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.50%

Availability over the last 3 days

Last 72 hours

Availability 99.50%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.46%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Google: Gemini 3.1 Flash Lite Preview (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 3.1 Flash-Lite Intelligence Index	6.2
Artificial Analysis	Gemini 3.1 Flash-Lite Coding Index	34.7
Artificial Analysis	Gemini 3.1 Flash-Lite Agentic Index	1.6
Artificial Analysis	Gemini 3.1 Flash-Lite GPQA Diamond	82.2%
Artificial Analysis	Gemini 3.1 Flash-Lite HLE	17.2%
Artificial Analysis	Gemini 3.1 Flash-Lite IFBench	77.2%
Artificial Analysis	Gemini 3.1 Flash-Lite τ²-Bench Telecom	31.3%
Artificial Analysis	Gemini 3.1 Flash-Lite AA-LCR	74.3%
Artificial Analysis	Gemini 3.1 Flash-Lite τ-Bench Banking	9.7%
Artificial Analysis	Gemini 3.1 Flash-Lite GDPval-AA	0.0%
Artificial Analysis	Gemini 3.1 Flash-Lite CritPt	1.1%
Artificial Analysis	Gemini 3.1 Flash-Lite SciCode	43.4%
Artificial Analysis	Gemini 3.1 Flash-Lite Terminal-Bench Hard	24.2%
Artificial Analysis	Gemini 3.1 Flash-Lite Terminal-Bench 4.0	0.5%
Artificial Analysis	Gemini 3.1 Flash-Lite Terminal-Bench 2.1	31.1%
Artificial Analysis	Gemini 3.1 Flash-Lite AA-Omniscience Accuracy	31.7%
Artificial Analysis	Gemini 3.1 Flash-Lite AA-Omniscience Non-Hallucination Rate	18.3%
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena 3D Elo	1028
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena Asciiart Elo	1162
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena Code Categories Elo	1062
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena Data Visualization Elo	1042
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena Game Development Elo	1019
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena SVG Elo	1041
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena UI Component Elo	1062
Design Arena	Gemini 3.1 Flash-Lite Preview Models Arena Website Elo	1074
Vals AI	Gemini 3.1 Flash Lite Preview AIME	83.3%
Vals AI	Gemini 3.1 Flash Lite Preview CaseLaw v2	55.0%
Vals AI	Gemini 3.1 Flash Lite Preview Code Migration	4.6%
Vals AI	Gemini 3.1 Flash Lite Preview CorpFin v2	59.4%
Vals AI	Gemini 3.1 Flash Lite Preview EMB	8.6%
Vals AI	Gemini 3.1 Flash Lite Preview Finance Agent (v2)	30.0%
Vals AI	Gemini 3.1 Flash Lite Preview GPQA Diamond	81.1%
Vals AI	Gemini 3.1 Flash Lite Preview Harvey's Legal Agent Benchmark v1	0.0%
Vals AI	Gemini 3.1 Flash Lite Preview LiveCodeBench	80.1%
Vals AI	Gemini 3.1 Flash Lite Preview LegalBench	83.8%
Vals AI	Gemini 3.1 Flash Lite Preview Legal Research Bench	3.4%
Vals AI	Gemini 3.1 Flash Lite Preview MedCode	47.6%
Vals AI	Gemini 3.1 Flash Lite Preview MedScribe	63.9%
Vals AI	Gemini 3.1 Flash Lite Preview MMLU Pro	86.2%
Vals AI	Gemini 3.1 Flash Lite Preview MMMU Pro	82.5%
Vals AI	Gemini 3.1 Flash Lite Preview MortgageTax	68.0%
Vals AI	Gemini 3.1 Flash Lite Preview ProgramBench	0.0%
Vals AI	Gemini 3.1 Flash Lite Preview SAGE v1	49.5%
Vals AI	Gemini 3.1 Flash Lite Preview SWE-bench	62.8%
Vals AI	Gemini 3.1 Flash Lite Preview Tax Agent Bench	3.1%
Vals AI	Gemini 3.1 Flash Lite Preview TaxEval v2	71.8%
Vals AI	Gemini 3.1 Flash Lite Preview Terminal-Bench 2.1	34.1%
Vals AI	Gemini 3.1 Flash Lite Preview Vals Index	15.5%
Vals AI	Gemini 3.1 Flash Lite Preview Vals Multimodal Index	41.4%
Vals AI	Gemini 3.1 Flash Lite Preview Vibe Code Bench v1.1	0.0%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Framer

Create a professional website with Framer’s no-code AI website builder. Design freely, manage CMS content, optimize SEO, collaborate, and publish fast.

65.3Btokens

Here

new

2.9Btokens

Dify.AI

Effortlessly manage autonomous agents and workflows.

2.62Btokens

ZYNT Intelligence Platform

new

2.41Btokens

Scrimba

new

2.22Btokens

Rest of OpenRouter

6.08B

Top 5 Apps

1.74B

Not currently available through EU in-region routing. In-region routing docs

More models from Google

Gemini 4 Hydrogen

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Text1.0M context$1.50 / $7.50

Gemini 4 Hydrogen (batch)

Text1.0M context$0.75 / $3.75

Gemini Decision 1

Gemini Decision 1 is Google's model for the Decisions API. It answers structured questions about an input state (true/false, multiple choice with up to 255 options, and score with up to 255 levels) and returns a confidence for every answer, plus a legend and probabilities for score questions.

It reads text, images, audio, video, and documents (PDF, CSV, and Office files) sent inline as base64 or by public URL. Every question needs instructions.

Decisions$0.10 / $0

Gemini 4 Carbon

Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode of up to 1M output tokens through continuation, and controls thinking depth with low, medium and high reasoning effort.

Text1.0M context$2 / $10

Gemini 4 Carbon (batch)

Text1.0M context$1 / $5

Gemini Omni 1.2 Flash

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Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview. It is suited for text-to-video, image-to-video, first and last frame interpolation, subject and video references (up to three reference clips), and editing or extending an uploaded video, and generates clips from 360p drafts up to 4K with native audio in 16:9 or 9:16. Multi-turn editing and extension of a prior generation is supported through previous_job_id, up to 40 seconds of total video.

Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

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Nano Banana 2.1

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Gemini 3.5 Transcribe

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Gemini 3.8 Flash Lite TTS

Gemini 3.8 Flash Lite TTS is a text-to-speech model from Google and the fast, high-throughput member of the 3.8 TTS family alongside Gemini 3.8 Flash TTS. It is suited for conversational voice-agent pipelines, high-volume read-aloud, and voice replication workloads where latency and cost matter more than maximum expressiveness.

It accepts the same speech configuration as Gemini 3.1 Flash TTS Preview, including the 30 prebuilt studio voices, and supports Google's Voice Design and Voice Replication through voice_... identifiers.

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Gemini 3.8 Flash TTS

Gemini 3.8 Flash TTS is a text-to-speech model from Google and the successor to Gemini 3.1 Flash TTS Preview. It is the creative tier of the 3.8 TTS family, suited for narration, character work, and multi-speaker dialogue where voice fidelity, acting nuance, and regional dialect coverage matter more than latency.

It accepts the same speech configuration as its predecessor, including the 30 prebuilt studio voices, and supports Google's Voice Design (custom voices from a text description) and Voice Replication (voices cloned from a short sample) through voice_... identifiers.

Speech$0.50 / $9

Gemini 3.8 Flash

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Text1.0M context$0.75 / $3.75

Gemini 3.8 Flash (batch)

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Text1.0M context$0.375 / $1.875

Gemini 3.7 Flash

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Text1.0M context$0.75 / $3.75

Gemini 3.7 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.

Text1.0M context$0.75 / $3.75

Gemini 3.6 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Text1.0M context$0.30 / $2.50

Google: Gemini 3.1 Flash Lite Preview

Providers