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GoogleGemini 4 Argon
Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.
Plain-English overview
What Gemini 4 Argon actually is
Argon combines multimodal understanding with tools for searching, writing code and working through multi-step problems. Its public Gemini API release followed an earlier restricted rollout.
Input, thinking and output share one token budget. Responses above 65,536 tokens require background long decode, so the advertised million-token limit is not a separate output allowance.
Good fit for
- Codebase changes
- Multi-step workflows
- Long-document analysis with tools
Category comparison
The facts that matter for text models
These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.
- Context window
- 1,048,576 tokens shared by input, thinking and outputMaximum combined prompt and working context documented by the provider.
- Maximum output
- 65,536 synchronous; long decode uses the remaining contextProvider-published response limit, where available.
- Knowledge cutoff
- March 2026Latest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
- Input price
- $2 / 1M through November 30; $4 from December 1, 2026Current standard list price per million input tokens unless noted.
- Output price
- $10 / 1M through November 30; $20 from December 1, 2026Current standard list price per million output tokens unless noted.
- Inputs
- Text, image, video, audio, PDFMedia types accepted by the listed model endpoint.
- Tools & agents
- Functions, code execution, search, file search; computer use in previewSelected native tools and agent-building capabilities, not an exhaustive list.
Pricing & comparisons
Estimate your cost
Set your usage. Your estimate updates as you type.
Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.
One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.
Advanced options
Gemini 4 Argon
Estimated total (USD)
For the usage above · USD · API pricing, not a subscription
- Input tokens
- $2.00 per 1M tokens
- Output tokens
- $10.00 per 1M tokens
How this estimate works
Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.
API and provider access
Where to get Gemini 4 Argon
Availability
Regions and access stage
Paid Gemini API and Google AI Studio access.
Access is limited to Google's supported regions and eligible accounts.
Check live availabilityData and training
The route matters.
Paid Gemini API prompts and responses are not used to improve Google's products. Limited safety logging still applies.
This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.
Read the provider policyFrequently asked questions
Gemini 4 Argon FAQ
What is Gemini 4 Argon?
Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video. Argon combines multimodal understanding with tools for searching, writing code and working through multi-step problems. Its public Gemini API release followed an earlier restricted rollout.
When was Gemini 4 Argon released?
Gemini 4 Argon was released on October 13, 2026 according to the cited provider materials.
Where can I access Gemini 4 Argon?
Paid Gemini API and Google AI Studio access. The access routes listed in this guide are Google and OpenRouter.
How much does Gemini 4 Argon cost?
$2 input · $10 output / 1M tokens through November 30, 2026. Standard API rates double on December 1, 2026 to $4 input and $20 output per 1M tokens. Thinking is billed as output. Implicit cache reads cost $0.10, then $0.20; tool charges are extra.
Where is Gemini 4 Argon available?
Paid Gemini API and Google AI Studio access. Access is limited to Google's supported regions and eligible accounts.
Is my Gemini 4 Argon API data used for training?
Paid Gemini API prompts and responses are not used to improve Google's products. Limited safety logging still applies. The policy belongs to the provider route and account terms, so verify it again before production use.
Price comparison
One price per model, using the same input/output mix. We weight each API rate by its share of one million total tokens and use the lowest matching reviewed route. This is a comparison rate, not a cost per task or a quality score. Tokenizers, caching, reasoning and long context can change your actual bill.
75% input + 25% output · no cache discounts
- GPT-6 Luna$0.20
OpenAI
- Mistral Small 4$0.2625
Mistral AI
- GPT-5.6 Luna$0.45
OpenAI
- Gemini 3.8 Flash$1.50
Google
- Claude Haiku 4.5$2.00
Anthropic
- Gemini 4 Argon$4.00
Google
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Head-to-head comparisons
Gemini 4 Argon vs Muse Wonder
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