Where is the Gemini 4 Argon documentation?

The Gemini 4 Argon documentation on OpenRouter includes the Gemini 4 Migration Guide cookbook. The quickstart covers API keys and your first request, and the API reference lists every parameter.

How much does Gemini 4 Argon cost?

Gemini 4 Argon 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 Argon?

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

Does Gemini 4 Argon support tool calling and structured outputs?

Yes. Gemini 4 Argon 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 Argon support?

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

Which providers serve Gemini 4 Argon?

Gemini 4 Argon 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 Argon released?

Gemini 4 Argon was released on October 13, 2026.

Google: Gemini 4 Argon

google/gemini-4-argon

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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.

Modalities

In / out price

50% off

$2 / $10per 1M

Context

1.0M

Released

Oct 13, 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	4.30s	32 tok/s	98.07%
50% off	$4.00$2.00	$20.00$10.00	$0.20$0.10	$0.20$0.10	7.66s	24 tok/s	89.66%
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	7.52s	46 tok/s	99.95%
50% off	$4.40$2.20	$22.00$11.00	$0.22$0.11	$0.22$0.11	6.45s	26 tok/s	89.70%
Priority50% off	$7.20$3.60	$36.00$18.00	$0.36$0.18	$0.36$0.18	6.30s	30 tok/s	81.43%
Priority50% off	$7.20$3.60	$36.00$18.00	$0.36$0.18	$0.36$0.18	5.07s	16 tok/s	100.00%

Input $2.00Output $10.0050% off
32 tok/s98.07% uptime
Input $2.00Output $10.0050% off
24 tok/s89.66% uptime
Not used in Standard routing:Why these endpoints are not used
Input $1.00Output $5.0050% off
Flex
46 tok/s99.95% uptime
Input $2.20Output $11.0050% off
26 tok/s89.70% uptime
Input $3.60Output $18.0050% off
Priority
30 tok/s81.43% uptime
Input $3.60Output $18.0050% off
Priority
16 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

$0.7774/M tokens

Output

$10.23/M tokens

Gemini 4 Argon — Price history

Price history

No effective price data for this selection

		$0.724	$11.21	73.0%	72.2%
		$1.053	$10.96	58.2%	13.3%
Not used in Standard routing:Why these endpoints are not used
		$0.441	$11.15	84.7%	0.9%
	Flex	$0.815	$5.02	19.7%	13.3%
	Priority	$0.887	$19.28	81.1%	0.4%
	Priority	$3.248	$22.75	10.8%	0.0%

Effective in $0.724Effective out $11.21
Token share
72.2%
Effective in $1.053Effective out $10.96
Token share
13.3%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.441Effective out $11.15
Token share
0.9%
Effective in $0.815Effective out $5.02
FlexToken share
13.3%
Effective in $0.887Effective out $19.28
PriorityToken share
0.4%
Effective in $3.248Effective out $22.75
PriorityToken share
0.0%

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)

99.61%

Availability over the last 3 days

Last 72 hours

Availability 99.61%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.81%

Without Routing

92.37%

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 Argon (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 4 Argon (High) Intelligence Index	50.4
Artificial Analysis	Gemini 4 Argon (High) HLE	57.1%
Artificial Analysis	Gemini 4 Argon (High) AA-LCR	79.7%
Artificial Analysis	Gemini 4 Argon (High) GDPval-AA	56.7%
Artificial Analysis	Gemini 4 Argon (High) CritPt	27.1%
Artificial Analysis	Gemini 4 Argon (High) SciCode	61.8%
Artificial Analysis	Gemini 4 Argon (High) Terminal-Bench 4.0	57.1%
Artificial Analysis	Gemini 4 Argon (High) AA-Omniscience Accuracy	48.3%
Artificial Analysis	Gemini 4 Argon (High) AA-Omniscience Non-Hallucination Rate	95.7%
Design Arena	Gemini 4 Argon Agents Arena Agenticgamedev Elo	1265
Design Arena	Gemini 4 Argon Agents Arena Blender3d Elo	1378
Design Arena	Gemini 4 Argon Agents Arena Pdf Elo	1291
Design Arena	Gemini 4 Argon Agents Arena Spreadsheet Elo	1196
Design Arena	Gemini 4 Argon Models Arena 3D Elo	1352
Design Arena	Gemini 4 Argon Models Arena Code Categories Elo	1326
Design Arena	Gemini 4 Argon Models Arena Data Visualization Elo	1325
Design Arena	Gemini 4 Argon Models Arena Game Development Elo	1361
Design Arena	Gemini 4 Argon Models Arena SVG Elo	1340
Design Arena	Gemini 4 Argon Models Arena UI Component Elo	1335
Design Arena	Gemini 4 Argon Models Arena Website Elo	1316
Vals AI	Gemini 4 Argon Access to Justice Benchmark	68.5%
Vals AI	Gemini 4 Argon BioMysteryBench	76.3%
Vals AI	Gemini 4 Argon Code Migration v1.1	70.8%
Vals AI	Gemini 4 Argon CyberBench v1.1	77.9%
Vals AI	Gemini 4 Argon EMB v1.1	74.8%
Vals AI	Gemini 4 Argon Finance Agent v2.1	67.7%
Vals AI	Gemini 4 Argon Vals Finance Index	66.0%
Vals AI	Gemini 4 Argon Financial Coaching Bench	73.1%
Vals AI	Gemini 4 Argon HLAB-Vals-1.1	27.1%
Vals AI	Gemini 4 Argon Immigration	68.1%
Vals AI	Gemini 4 Argon IOI	100.0%
Vals AI	Gemini 4 Argon LegalBench	88.3%
Vals AI	Gemini 4 Argon Vals Legal Index	76.8%
Vals AI	Gemini 4 Argon Legal Research Bench	54.8%
Vals AI	Gemini 4 Argon MedCode	58.8%
Vals AI	Gemini 4 Argon MedScribe	87.4%
Vals AI	Gemini 4 Argon MysteryMechanism	45.5%
Vals AI	Gemini 4 Argon ProgramBench	2.5%
Vals AI	Gemini 4 Argon ProofBench v1.1	99.0%
Vals AI	Gemini 4 Argon Public Benefits Bench v1.1	69.8%
Vals AI	Gemini 4 Argon Robo-bench	0.8%
Vals AI	Gemini 4 Argon Vals RSI Index	30.6%
Vals AI	Gemini 4 Argon SAGE	89.5%
Vals AI	Gemini 4 Argon Vals Science Index	55.4%
Vals AI	Gemini 4 Argon SRE Bench	44.3%
Vals AI	Gemini 4 Argon SWE-bench Multimodal	56.0%
Vals AI	Gemini 4 Argon Tax Agent Bench	49.2%
Vals AI	Gemini 4 Argon Terminal-Bench 4.0	57.6%
Vals AI	Gemini 4 Argon Terminal-Bench-Science	44.3%
Vals AI	Gemini 4 Argon Vals Index	69.4%
Vals AI	Gemini 4 Argon Vibe Code Bench 1-100	21.2%
Vals AI	Gemini 4 Argon Vibe Code Bench v1.1	91.9%

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.

474Btokens

Claude Code

Claude Code is Anthropic's agentic coding tool that reads your entire codebase, plans and executes changes across files, runs tests, and iterates on failures, all from natural language prompts.

247Btokens

omp

new

162Btokens

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

127Btokens

Brandon asks offline replay

new

75.9Btokens

Rest of OpenRouter

99.9B

Top 5 Apps

14.4B

Google: Gemini Pro versions

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

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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 (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 Argon

Providers