How much does Gemini 3.6 Flash cost?

Gemini 3.6 Flash costs $0.75/M input tokens and $3.75/M output tokens, with separate rates for Cache Read at $0.075/M tokens, Cache Write at $0.04167/M tokens, Image Input at $0.75/M tokens, Input Audio at $0.75/M tokens, Input Audio Cache at $0.075/M tokens, and Web Search at $14.00/1K calls.

What is the context length of Gemini 3.6 Flash?

Gemini 3.6 Flash has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Does Gemini 3.6 Flash support tool calling and structured outputs?

Yes. Gemini 3.6 Flash 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 3.6 Flash support?

Gemini 3.6 Flash accepts text, images, video, files such as PDFs, and audio as input and returns text.

Which providers serve Gemini 3.6 Flash?

Gemini 3.6 Flash is served by 2 providers on OpenRouter: Google Vertex and Google AI Studio. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

When was Gemini 3.6 Flash released?

Gemini 3.6 Flash was released on July 21, 2026.

Google: Gemini 3.6 Flash

google/gemini-3.6-flash

Compare

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.

Modalities

In / out price

$0.75 / $3.75per 1M

Context

1.0M

Released

Jul 21, 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


	$0.75	$3.75	$0.075	$0.075	1.24s	83 tok/s	99.70%
	$0.75	$3.75	$0.075	$0.075	1.32s	102 tok/s	99.95%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.375	$1.875	$0.0375	$0.0375	7.52s	57 tok/s	86.23%
Flex	$0.375	$1.875	$0.0375	$0.0375	2.01s	140 tok/s	99.36%
	$0.825	$4.125	$0.0825	$0.0825	1.26s	100 tok/s	100.00%
Priority	$1.35	$6.75	$0.135	$0.135	1.58s	121 tok/s	100.00%
Priority	$1.35	$6.75	$0.135	$0.135	1.73s	118 tok/s	100.00%

Input $0.75Output $3.75
83 tok/s99.70% uptime
Input $0.75Output $3.75
102 tok/s99.95% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.375Output $1.875
Flex
57 tok/s86.23% uptime
Input $0.375Output $1.875
Flex
140 tok/s99.36% uptime
Input $0.825Output $4.125
100 tok/s100.00% uptime
Input $1.35Output $6.75
Priority
121 tok/s100.00% uptime
Input $1.35Output $6.75
Priority
118 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

$0.4485/M tokens

Output

$3.753/M tokens

Gemini 3.6 Flash — Price history

Price history

No effective price data for this selection

		$0.393	$3.75	53.0%	35.8%
		$0.475	$3.75	40.7%	60.9%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.262	$1.87	35.2%	1.3%
	Flex	$0.271	$1.87	30.9%	0.6%
		$0.791	$4.12	4.6%	0.3%
	Priority	$0.925	$6.75	34.7%	0.1%
	Priority	$1.180	$6.75	14.0%	0.9%

Effective in $0.393Effective out $3.75
Token share
35.8%
Effective in $0.475Effective out $3.75
Token share
60.9%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.262Effective out $1.87
FlexToken share
1.3%
Effective in $0.271Effective out $1.87
FlexToken share
0.6%
Effective in $0.791Effective out $4.12
Token share
0.3%
Effective in $0.925Effective out $6.75
PriorityToken share
0.1%
Effective in $1.180Effective out $6.75
PriorityToken share
0.9%

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)

99.89%

Availability over the last 3 days

Last 72 hours

Availability 99.89%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.90%

Without Routing

96.82%

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 3.6 Flash (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 3.6 Flash (High) Coding Index	69.2
Artificial Analysis	Gemini 3.6 Flash (High) Agentic Index	29.0
Artificial Analysis	Gemini 3.6 Flash (High) GPQA Diamond	92.8%
Artificial Analysis	Gemini 3.6 Flash (High) HLE	40.8%
Artificial Analysis	Gemini 3.6 Flash (High) AA-LCR	80.0%
Artificial Analysis	Gemini 3.6 Flash (High) τ-Bench Banking	29.9%
Artificial Analysis	Gemini 3.6 Flash (High) GDPval-AA	39.7%
Artificial Analysis	Gemini 3.6 Flash (High) CritPt	10.6%
Artificial Analysis	Gemini 3.6 Flash (High) SciCode	53.4%
Artificial Analysis	Gemini 3.6 Flash (High) Terminal-Bench 4.0	7.1%
Artificial Analysis	Gemini 3.6 Flash (High) Terminal-Bench 2.1	77.5%
Design Arena	Gemini 3.6 Flash Agents Arena Agenticgamedev Elo	1121
Design Arena	Gemini 3.6 Flash Agents Arena Androidnative Elo	1194
Design Arena	Gemini 3.6 Flash Agents Arena Blender3d Elo	1078
Design Arena	Gemini 3.6 Flash Agents Arena Codetovideo Elo	1101
Design Arena	Gemini 3.6 Flash Agents Arena Full Stack Elo	1152
Design Arena	Gemini 3.6 Flash Agents Arena Htmlslides Elo	1043
Design Arena	Gemini 3.6 Flash Agents Arena Mobile Apps Elo	1190
Design Arena	Gemini 3.6 Flash Agents Arena Pdf Elo	1170
Design Arena	Gemini 3.6 Flash Agents Arena Python-Pptxslides Elo	1106
Design Arena	Gemini 3.6 Flash Agents Arena Spreadsheet Elo	1043
Design Arena	Gemini 3.6 Flash Agents Arena Webapps Elo	1173
Design Arena	Gemini 3.6 Flash Models Arena 3D Elo	1250
Design Arena	Gemini 3.6 Flash Models Arena Asciiart Elo	1276
Design Arena	Gemini 3.6 Flash Models Arena Code Categories Elo	1279
Design Arena	Gemini 3.6 Flash Models Arena Data Visualization Elo	1288
Design Arena	Gemini 3.6 Flash Models Arena Game Development Elo	1252
Design Arena	Gemini 3.6 Flash Models Arena UI Component Elo	1290
Design Arena	Gemini 3.6 Flash Models Arena Website Elo	1292
Vals AI	Gemini 3.6 Flash BioMysteryBench	58.5%
Vals AI	Gemini 3.6 Flash Code Migration	30.9%
Vals AI	Gemini 3.6 Flash CorpFin v2	63.3%
Vals AI	Gemini 3.6 Flash CyberBench v1.1	45.4%
Vals AI	Gemini 3.6 Flash EMB	65.4%
Vals AI	Gemini 3.6 Flash Finance Agent (v2)	56.3%
Vals AI	Gemini 3.6 Flash Financial Coaching Bench	65.8%
Vals AI	Gemini 3.6 Flash GPQA Diamond	93.4%
Vals AI	Gemini 3.6 Flash Harvey's Legal Agent Benchmark v1	3.3%
Vals AI	Gemini 3.6 Flash IOI	35.1%
Vals AI	Gemini 3.6 Flash LiveCodeBench	88.1%
Vals AI	Gemini 3.6 Flash LegalBench	86.7%
Vals AI	Gemini 3.6 Flash Legal Research Bench	25.0%
Vals AI	Gemini 3.6 Flash MedCode	53.2%
Vals AI	Gemini 3.6 Flash MedScribe	79.7%
Vals AI	Gemini 3.6 Flash MMLU Pro	89.3%
Vals AI	Gemini 3.6 Flash MMMU Pro	88.4%
Vals AI	Gemini 3.6 Flash MortgageTax	67.6%
Vals AI	Gemini 3.6 Flash ProgramBench	0.0%
Vals AI	Gemini 3.6 Flash ProofBench v1	36.0%
Vals AI	Gemini 3.6 Flash Public Benefits Bench v1.1	56.6%
Vals AI	Gemini 3.6 Flash SAGE v1	48.7%
Vals AI	Gemini 3.6 Flash SWE-bench	79.6%
Vals AI	Gemini 3.6 Flash Tax Agent Bench	18.0%
Vals AI	Gemini 3.6 Flash TaxEval v2	74.9%
Vals AI	Gemini 3.6 Flash Terminal-Bench 2.1	73.8%
Vals AI	Gemini 3.6 Flash Terminal-Bench-Science	4.3%
Vals AI	Gemini 3.6 Flash Vals Index	55.4%
Vals AI	Gemini 3.6 Flash Vals Multimodal Index	65.1%
Vals AI	Gemini 3.6 Flash Vibe Code Bench v1.1	64.0%

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.

HighLevel

new

55.5Btokens

Hermes Agent

Hermes Agent is an open-source, self-improving AI agent by Nous Research that runs persistently with memory across sessions, and builds reusable skills from experience. It comes with 40+ built-in tools, including web search, browser automation, and vision, plus scheduled automations and subagents.

9.66Btokens

shopport-2.0

new

6.92Btokens

Callex

new

4.98Btokens

Eigen

new

3.44Btokens

Rest of OpenRouter

5.3B

Top 5 Apps

304M

Google: Gemini Flash versions

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

More models from Google

Gemini 4 Hydrogen

Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than Gemini 4 Carbon. 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, high and xhigh reasoning effort.

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

Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native audio in 16:9 or 9:16, from 360p drafts up to 4K, and supports text-to-video, image-to-video, first and last frame interpolation, subject and video references with improved reference management, and editing or extending an uploaded video. Multi-turn editing and extension of a prior generation is supported through previous_job_id.

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.

Text1.0M context$2 / $10

Gemini 4 Argon (batch)

Text1.0M context$1 / $5

Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization, mask- and ink-based editing, and factual accuracy, and renders photorealistic skin tones, detailed materials, lighting, and coherent backgrounds. It accepts text and image inputs, returns images with optional text, and supports 1K, 2K, and 4K output plus extended aspect ratios via the image_config API Parameter.

Image66K context$1.50 / $30

Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio can be up to one hour, or 30 minutes when timestamps or diarization are enabled.

Transcription$2 / $12

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.

Speech$0.50 / $6

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

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.75 / $3.75

Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.375 / $1.875

Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.

Text1.0M context$0.75 / $3.75

Gemini 3.7 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.6 Flash

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 3.6 Flash

Providers