How much does Gemini 4 Carbon cost?

Gemini 4 Carbon costs $2.00/M input tokens and $10.00/M output tokens, with separate rates for Cache Read at $0.10/M tokens, Cache Write at $0.1875/M tokens, Image Input at $2.00/M tokens, Input Audio at $2.00/M tokens, Input Audio Cache at $0.10/M tokens, and Web Search at $14.00/1K calls.

What is the context length of Gemini 4 Carbon?

Gemini 4 Carbon has a 1,048,576 token context window. It supports up to 1,048,576 completion tokens.

Does Gemini 4 Carbon support tool calling and structured outputs?

Yes. Gemini 4 Carbon 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 4 Carbon support?

Gemini 4 Carbon accepts audio, files such as PDFs, images, text, and video as input and returns text.

Which providers serve Gemini 4 Carbon?

Gemini 4 Carbon is served by 2 providers on OpenRouter: Google AI Studio and Google Vertex. 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 4 Carbon released?

Gemini 4 Carbon was released on November 10, 2026.

Google: Gemini 4 Carbon

google/gemini-4-carbon

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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.

Modalities

In / out price

50% off

$2 / $10per 1M

Context

1.0M

Released

Nov 10, 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


50% off	$4.00$2.00	$20.00$10.00	$0.20$0.10	$0.20$0.10	7.24s	30 tok/s	78.86%
50% off	$4.00$2.00	$20.00$10.00	$0.20$0.10	$0.20$0.10	10.84s	21 tok/s	93.83%
Not used in Standard routing:Why these endpoints are not used
Flex50% off	$2.00$1.00	$10.00$5.00	$0.10$0.05	$0.10$0.05	11.41s	45 tok/s	98.75%
50% off	$4.40$2.20	$22.00$11.00	$0.22$0.11	$0.22$0.11	4.86s	43 tok/s	92.02%
50% off	$4.40$2.20	$22.00$11.00	$0.22$0.11	$0.22$0.11	4.43s	73 tok/s	95.03%
Priority50% off	$7.20$3.60	$36.00$18.00	$0.36$0.18	$0.36$0.18	5.70s	34 tok/s	99.02%
Priority50% off	$7.20$3.60	$36.00$18.00	$0.36$0.18	$0.36$0.18	27.95s	25 tok/s	100.00%

Input $2.00Output $10.0050% off
30 tok/s78.86% uptime
Input $2.00Output $10.0050% off
21 tok/s93.83% uptime
Not used in Standard routing:Why these endpoints are not used
Input $1.00Output $5.0050% off
Flex
45 tok/s98.75% uptime
Input $2.20Output $11.0050% off
43 tok/s92.02% uptime
Input $2.20Output $11.0050% off
73 tok/s95.03% uptime
Input $3.60Output $18.0050% off
Priority
34 tok/s99.02% uptime
Input $3.60Output $18.0050% off
Priority
25 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

$0.5508/M tokens

Output

$10.64/M tokens

Gemini 4 Carbon — Price history

Price history

No effective price data for this selection

		$0.513	$14.88	88.9%	22.5%
		$0.543	$10.46	79.0%	60.8%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.320	$5.01	71.6%	11.0%
		$0.593	$11.13	78.6%	0.3%
		$0.728	$11.11	71.2%	1.3%
	Priority	$0.963	$18.43	77.8%	0.4%
	Priority	$1.449	$35.71	83.6%	3.8%

Effective in $0.513Effective out $14.88
Token share
22.5%
Effective in $0.543Effective out $10.46
Token share
60.8%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.320Effective out $5.01
FlexToken share
11.0%
Effective in $0.593Effective out $11.13
Token share
0.3%
Effective in $0.728Effective out $11.11
Token share
1.3%
Effective in $0.963Effective out $18.43
PriorityToken share
0.4%
Effective in $1.449Effective out $35.71
PriorityToken share
3.8%

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)

99.99%

Availability (3d)

95.68%

Availability over the last 3 days

Last 72 hours

Availability 95.68%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.23%

Without Routing

95.54%

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 4 Carbon (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 4 Carbon (High) Intelligence Index	60.0
Artificial Analysis	Gemini 4 Carbon (High) AA-LCR	79.3%
Artificial Analysis	Gemini 4 Carbon (High) GDPval-AA	61.6%
Artificial Analysis	Gemini 4 Carbon (High) Terminal-Bench 4.0	65.2%
Artificial Analysis	Gemini 4 Carbon (High) AA-Omniscience Accuracy	58.3%
Artificial Analysis	Gemini 4 Carbon (High) AA-Omniscience Non-Hallucination Rate	88.6%
Design Arena	Gemini 4 Carbon Agents Arena Mobile Apps Elo	1301
Design Arena	Gemini 4 Carbon Agents Arena Pdf Elo	1310
Design Arena	Gemini 4 Carbon Models Arena 3D Elo	1429
Design Arena	Gemini 4 Carbon Models Arena Code Categories Elo	1354
Design Arena	Gemini 4 Carbon Models Arena Game Development Elo	1319
Design Arena	Gemini 4 Carbon Models Arena UI Component Elo	1346
Design Arena	Gemini 4 Carbon Models Arena Website Elo	1334
Vals AI	Gemini 4 Carbon EMB v1.1	76.5%
Vals AI	Gemini 4 Carbon Finance Agent v2.1	67.2%
Vals AI	Gemini 4 Carbon Vals Finance Index	67.0%
Vals AI	Gemini 4 Carbon HLAB-Vals-1.1	17.5%
Vals AI	Gemini 4 Carbon Vals Legal Index	75.9%
Vals AI	Gemini 4 Carbon Legal Research Bench	55.8%
Vals AI	Gemini 4 Carbon Vals RSI Index	27.7%
Vals AI	Gemini 4 Carbon Tax Agent Bench	51.8%
Vals AI	Gemini 4 Carbon Terminal-Bench 4.0	63.1%
Vals AI	Gemini 4 Carbon Vals Index	70.5%
Vals AI	Gemini 4 Carbon Vibe Code Bench v1.1	89.1%

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.

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.

15.6Btokens

There are many coding agents, but this one is yours.

15.5Btokens

omp

new

13.4Btokens

Codex

A coding agent that helps you build and ship with AI

8.23Btokens

Cursor

new

7.18Btokens

Rest of OpenRouter

76.8B

Top 5 Apps

17.2B

Google: Gemini Pro versions

Available through EU in-region routing

Google: Gemini 4 Carbon is available through EU in-region routing. Requests sent to eu.openrouter.ai are decrypted in the EU and routed only to shared provider endpoints in Europe (the EU/EEA, the UK, and Switzerland).

Providers in Europe

Google Vertex

Prices in Europe

Google Vertex: $2.20/M tokens input, $11/M tokens output

Base URL

https://eu.openrouter.ai/api/v1

Plan

Requires Business or Enterprise. Self-serve on Business: no contract, no monthly minimum. OpenRouter Business for EU in-region routing

Fails closed: if no shared provider endpoint in Europe is available, the request errors instead of leaving the region. Requests served by your own BYOK key go to your deployment’s region, which you control. 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 (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

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

Gemini 3.5 Flash Lite (batch)

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$0.15 / $1.25

Google: Gemini 4 Carbon

Providers