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Gemini 4 Carbon API

GoogleText GenerationNot yet announced
Internal testingAPI details pendingNot yet on EvoLinkPricing pendingAvailability alerts
Official status
Not yet announced
Public API / model ID
Not yet published
EvoLink access
Not yet available
Last checked
October 22, 2026

Gemini 4 Carbon is the name of a Google model version reportedly being tested internally in Jetski. Reports focus on coding, 3D work and possible partner access. As of October 22, 2026, Google has not announced a public Carbon API, and Carbon is not yet available on EvoLink. Get notified when access opens, or start building with Gemini 4 Argon through EvoLink’s unified API.

Gemini 4 Carbon API parameters and availability

Last checked:

API detailCurrent status
Google public APINot listed in Google’s public model catalog.
EvoLink accessNot yet available. Subscribe for an availability update.
API model IDNot yet published.
Context windowNot yet published.
Maximum outputNot yet published.
Input typesNot yet published.
Output typesNot yet published.
Reasoning controlsNot yet published.
Tool callingNot yet published.
Structured outputNot yet published.
API pricingGoogle and EvoLink have not published Carbon rates.

Gemini 4 Carbon API: current status

Official availability, internal testing and community reports at a glance.

We will update this page as Google publishes details and EvoLink prepares access. Integration information will include the model ID, supported features and billing.

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Model ID, pricing and integration details

Your update will include the EvoLink model ID, pricing and supported features so you can plan your integration. In the meantime, existing Gemini models are available through the same unified API.

Prepare for Gemini 4 Carbon without delaying delivery

Save your current results and make model selection easy to change when Carbon arrives.

1

Save your current results

Run representative coding and document tasks with Gemini 4 Argon. Keep prompts, accepted outputs, tool traces and failures for later comparison.

2

Define a successful result

For code changes, check the tests and review the diff. For documents, check the citations. Record the edits a person needs to make before the result is usable.

3

Record cost per finished task

Track response time, tokens, retries and completed tasks on your current model. When Carbon’s rates and usage are available, use the same records to compare costs.

4

Make model switching configurable

Use EvoLink’s unified API with a configurable model choice. Try Carbon on a small set of tasks after checking its formats, tools and error handling, with the existing model ready as a fallback.

Gemini 4 Carbon: timeline

Key reports through October 21, 2026, 22:05 Beijing time. Google’s model directory and changelog were checked on October 22. All times below are UTC+8.

Date / time (UTC+8)SourceUpdate
2026-10-10 03:37Business Insider: internal testingBI reports employee testing of Carbon in Jetski, with its public name and release form still open.
2026-10-10 04:46Vedant Misra: RSI responseMisra mentions recursive self-improvement in response to the coverage; training details remain unpublished.
2026-10-13Google: Argon availabilityGoogle expands Argon availability, making it the public Gemini 4 option for current integrations.
2026-10-19 22:07Stephanie Palazzolo: model previewThe journalist previews a report about upcoming models, including Carbon.
2026-10-19 23:34Journalist’s timing correctionThe expected window for the model group changes from “this month” to “the coming weeks.”
2026-10-21 12:59Lentils: partner / Arena claimLentils reports partner access, Arena testing, better 3D, weak UI and slower but more complete work.
2026-10-21 13:00lyra: quoted community reactionlyra quotes the post and uses the playful nickname “Gemini 4 Cabrón.”
2026-10-21 13:31DC Inside: Korean repostA Korean community post links to lyra and brings the same report to DC Inside.

Gemini 4 Carbon in public code

The following entries come from third-party projects. They show how those projects are preparing for possible Carbon support; Google’s API specifications are still pending.

Field / sourceCode valueExplanation
Model stringgemini-4-carbonorgtree uses this provisional name and notes that the entry was copied from Barium.
Context valueSome(1_000_000)The 1M value comes from the copied client configuration. Carbon’s official context limit has not been published.
Reasoning selectorlow / highThe client tests low and high choices. Server-side reasoning options are awaiting documentation.
Seat / pricing objectseat: 2.0; prices: Noneseat is an internal application field; prices: None leaves a separate price object empty. Token rates will come from the provider’s pricing information.
Conditional listingconditional: trueThe entry is shown only when the account catalog includes the model. The linked test supplies a sample list rather than an account response.
ORIONFIRE enumMODEL_GOOGLE_GEMINI_ORIONFIRE = 343343 identifies ORIONFIRE within this protocol. Its relationship to Carbon is still being discussed; the number carries no model-size or context information.
Claimed internal routeorionfire;/aistudio/gemini-v4s-jarvis-scThe teardown author reports this internal-looking string. The original binary and Carbon association are still to be checked; public API documentation will provide the endpoint for integration.

Gemini 4 Carbon: how the reports developed

The story has moved from employee testing to release expectations and reported partner access.

October 9–10: testing inside Google

Hugh Langley’s BI report describes Carbon in Jetski. The Decoder and Korea’s AI Times picked up the story, including employee coding impressions and Misra’s RSI response. Benchmark scores and training details were not part of those accounts.

October 19–20: another round of model news

The Information mentioned Carbon in its paid newsletter. Publicly available context comes from the journalist’s preview and timing correction; Investing.com and Korean outlets relayed that same report.

October 21: partner and Arena reports

Lentils described partner access, Arena testing and mixed performance: better 3D, weaker UI and slower responses with more complete work. lyra and Korean posts spread the news. Google’s EAP exists, while Carbon’s participation is still awaiting an announcement.

Gemini 4 Carbon: names, demos and community coverage

The surrounding discussion includes client preparations, an Argon alias theory and English and Korean coverage.

Carbon in a third-party model catalog

orgtree labels its Carbon entry provisional and copies settings from Barium, including a 1M context value. The seat field belongs to the application. Official model details will determine the eventual integration.

The Argon alias discussion

OrcaRouter describes Arena Scout capability changes and a 3D mascot clip. The original bot record and replayable session are not linked in the available account, leaving the proposed Carbon identity open. The 3D scene may have been rendered from code or tools.

Why the same story appears in several languages

English and Korean coverage often traces back to BI, The Information or Lentils. Translations and reposts broaden the discussion but share those original reports. Video links are also circulating; the examples on this page are based on written reports and code.

Gemini 4 Carbon: the orgtree catalog entry

This Rust excerpt shows a provisional model entry in the orgtree client.

Where the settings come from

The project notes say Barium inherited Argon’s placeholder seat, effort and usage rates, and Carbon then copied Barium. This explains the 1M context and seat values shown below; Carbon’s published specifications are still pending.

How the client estimates costs

The cost estimator groups Carbon with other pro-style models and uses shared estimates. Carbon-specific official rates, billing records and a successful request are not included in this example. EvoLink will publish its pricing with verified access.

// speculative Gemini 4 Carbon (user 2026-10-10): a copy of Barium, offered
// only while the account's `agy models` lists it
Tier { tier: "carbon", provider: GOOGLE, seat: 2.0, model: "gemini-4-carbon",
    versions: &[("4", "gemini-4-carbon")], letter: "C",
    context: Some(1_000_000), live_effort: false, legacy: false, conditional: true, prices: None },

orgtree · catalog.rs · L76 · Provisional Rust model entry.

Gemini 4 Carbon: the ORIONFIRE discussion

The ORIONFIRE name in Antigravity protocol files has prompted discussion about a possible Carbon connection.

The protocol identifier

The cited file defines MODEL_GOOGLE_GEMINI_ORIONFIRE as 343. Other public copies use the same name and may share a source. The code leaves its relationship to Carbon unspecified.

What the teardown author reported

A Reddit post reports orionfire;/aistudio/gemini-v4s-jarvis-sc in an Antigravity v2.25.0 binary. The original file, platform, hash and extraction offsets, and the model behind this name, are details still to be supplied.

The official version history

Google’s changelog lists App v2.25.0 on October 20 and tracks App and IDE versions separately. The entry covers the application release without mentioning Carbon or ORIONFIRE. Carbon API details are still pending.

MODEL_GOOGLE_GEMINI_ORIONFIRE = 343;

Antigravity-Tools-LS · exa.codeium_common_pb.proto · L276 · Protocol enum definition.

Gemini 4 Carbon: coding, 3D and response time

Early reports describe stronger 3D work, mixed frontend results and slower but more complete answers. Here is what each report says and what to compare in your own tasks.

Coding and agents

An employee quoted in the BI reporting described coding with Carbon as feeling similar to Opus 5.5. That is an early user impression; a published head-to-head benchmark is still to come.

What to compare Run the same repository tasks with the same tools and budget. Compare passing tests, completed work and how often a developer has to step in.

3D scenes and frontend work

Lentils reports better 3D results than Argon while frontend and UI work remain weak. The reported gains are therefore more specific than an across-the-board improvement in visual work.

What to compare Keep the prompt and source code. Compare the rendered scene, geometry, interactions and browser errors. Native image and video features are still awaiting official details.

Speed and task completion

Lentils also describes Carbon as slower but less likely to skip parts of a task. For an integration, both response time and the amount of finished work will matter.

What to compare Repeat representative tasks and record time to first token, total time, retries, tool failures and rate limits. Published prompts and repeatable measurements would make the early report easier to compare.

Start with Gemini 4 Argon today

Gemini 4 Argon already has API documentation and an EvoLink integration. Use it to build and test your application while you follow Carbon’s progress.

Start with Argon

Check the current Gemini 4 Argon page for supported API behavior and live pricing before choosing your workload.

Compare a Flash route

For repeated everyday requests, evaluate Gemini 3.8 Flash on the same quality, response-time and budget requirements.

Decide whether to switch

When Carbon is available, compare it with your existing model on quality, reliability and cost per completed task. Switch where the results justify it and keep a fallback for the rest.

Gemini models you can evaluate today

Compare the features and pricing of the Gemini models currently available on EvoLink.

Explore the Gemini family
Gemini 4 Argon

Gemini 4 Argon

The current Gemini 4 route for a direct baseline.

View model
Gemini 3.8 Flash

Gemini 3.8 Flash

Evaluate everyday throughput and task cost.

View model
Gemini 3.6 Flash

Gemini 3.6 Flash

Another documented Flash route to compare.

View model

Plan your Gemini 4 Carbon integration

Gemini 4 Carbon API FAQ

What is Gemini 4 Carbon?

Carbon is a name used in reports about an internal Google Gemini 4 model version. Business Insider describes employee testing in Jetski. Google has yet to announce its public name or whether it will be an Argon update or a separate release.

Can I use Gemini 4 Carbon through EvoLink?

Not yet. You can subscribe to an email update when EvoLink makes Carbon available. For an integration today, start with Gemini 4 Argon or one of the existing Flash models.

What is the news about partner access and Arena?

Lentils reported partner early access and Arena testing on October 21. Google’s general EAP offers selected developers, researchers and partners access to future models, but its public page does not name Carbon or offer a Carbon application. A public Arena session and model mapping are still missing from the report.

When will Gemini 4 Carbon launch?

Google has not announced a date. On October 19, Stephanie Palazzolo changed the expected timing for a group of upcoming models from “this month” to “the coming weeks.” That is the latest wording of the report, rather than a release date for Carbon or EvoLink.

What is the difference between Google API access and EvoLink access?

Google API access means calling the model directly through Google. EvoLink access means using it through EvoLink’s unified API. As of October 22, 2026, Google’s public catalog does not list Carbon, and Carbon is not available through EvoLink. You can subscribe here for an EvoLink availability update.

What is the Gemini 4 Carbon API model ID?

Google has not published a Carbon API model ID. The gemini-4-carbon name identifies this page; the model ID to put in an API request will be listed in the integration documentation when Carbon becomes available.

How much does the Gemini 4 Carbon API cost?

Google and EvoLink have not published Carbon API prices. Carbon’s rates will be added here when available.

What are Carbon’s context window and maximum output limits?

Google has not published Carbon’s context window or maximum output limits. These limits will be added to the integration documentation when available.

Does Carbon support tool calling and structured output?

Google has not published Carbon’s support for tool calling, structured output or reasoning controls. The supported features and request parameters will be listed in the API documentation when available.

Can I call Carbon with an OpenAI-compatible API?

Carbon is not yet available through EvoLink, and its supported API formats have not been announced. Google offers an OpenAI compatibility layer for supported Gemini models; Carbon’s integration details are still pending.

Do I need Google AI Pro or Ultra to use Carbon’s API?

Google has not announced Carbon’s API access requirements. Gemini app subscriptions and Gemini API billing are separate services; a Pro or Ultra subscription does not currently provide public Carbon API access.

How is Carbon related to Argon, Pro and Flash?

Argon is a publicly documented model whose availability expanded on October 13. Carbon is an internal version described in reports, with its eventual name and product tier still open. Pro, Flash and 4.1 are not confirmed names for it. The community nickname “Gemini 4 Cabrón” refers to the same discussion.

How does Carbon compare with Argon and Opus 5.5?

The available accounts are an employee’s Opus 5.5-like coding impression and selected community comparisons with Argon. A controlled benchmark would help establish the difference. For your application, compare the same tasks, tools and budgets, including reliability and cost per completed task.

Can Carbon generate 3D video?

Community posts discuss 3D scenes, which may be rendered from generated code or tools. Google has not published native video-generation features or input/output formats for Carbon.

What will the availability email include?

We will email you when Carbon is ready to use through EvoLink, with integration details. This is an EvoLink notification subscription; Google partner testing has its own access process. It includes no reservation, fixed launch date or pricing preference.

What is the connection between Carbon and RSI?

Vedant Misra mentioned recursive self-improvement while sharing the coverage. Carbon’s training method has not been described publicly, so the extent of any RSI use is still open—including whether it involves weight changes or a particular training loop.

Why does GitHub list a 1M context for Carbon?

The orgtree entry is a provisional client configuration copied from Barium. It contains the 1M value and appears only if an account catalog lists the model. Official Carbon documentation is still needed for the API ID, actual context limit and token prices.

What is ORIONFIRE?

ORIONFIRE appears as an enum in third-party Antigravity protocol files. A community teardown author associates it with Carbon, although that link is not recorded in the cited code. The enum number is 343; the reported /aistudio/ path belongs to the teardown discussion, with public API details still awaiting announcement.