Analysis

Gemini 4 Carbon is open to paying developers and enterprises, and its price doubles on 1 December

1AYM is an OpenAI Select Partner.

Published . Vendor facts checked on against each vendor’s own pages, listed at the end. Plans, prices and availability change. Neither OpenAI nor Anthropic has reviewed this analysis.

The short version

Google's post of 10 November 2026 opens Carbon to paying customers. Its developer pages and a GitHub notice of the same day set out who can use Carbon, what it costs and what changes in code.

Access and price
Carbon is open to paying Gemini API and Gemini for business customers. It costs $2 and $10 per million tokens until 30 November 2026, then $4 and $20.
Token use and code changes
Carbon costs the same per token as Argon but spends more thinking tokens per turn. Code moving from Gemini 3 or earlier needs several changes, and long prompts need longer timeouts.
GitHub Copilot
Carbon is in Copilot Pro+, Max, Business and Enterprise from 10 November 2026, billed at list price. It switches on by default unless an admin turned that off.

Who can use Gemini 4 Carbon, and the price rise on 1 December

What was announced

On 10 November 2026 Google made Gemini 4 Carbon available to developers, enterprises, scientists and consumers, and called it its strongest model. Two weeks earlier, Carbon had gone only to a set of cybersecurity defenders through Google's Fairwind Program.

Developers reach Carbon through the paid tier of the Gemini API, in Google AI Studio and Android Studio, and it is not on the Free tier. Enterprises reach it in Gemini for business, through the API or the model menu, and in Google Antigravity and CodeMender.

Google AI Ultra subscribers get Carbon in Google Antigravity, the Gemini app and AI Mode in Search. Scientists can apply for six months of free access through Antigravity, subject to eligibility, capacity and selection.

A token is the small unit of text that API use is billed in. Until 30 November 2026, Carbon costs $2 per million input tokens and $10 per million output tokens, which Google calls an introductory price. From 1 December 2026 it costs $4 and $20.

Google's pricing page gives Gemini 4 Argon the same prices as Carbon on every tier, so Argon's Gemini API price rises on 1 December too. On the Batch and Flex tiers, both go from $1 and $5 to $2 and $10. On the Priority tier, both go from $3.60 and $18 to $7.20 and $36.

The same page says data sent to Carbon or Argon on the Standard, Batch, Flex and Priority tiers is not used to improve Google's products.

When Google first announced Carbon on 28 October 2026, it gave the same two prices but no end date for the introductory period.

What it means for enterprises

A cost estimate built on $2 and $10 holds only until 30 November. Budgets for December onwards need $4 and $20, for Carbon and for Argon.

Teams already on Argon through the Gemini API pay twice as much per token from 1 December without changing a line of code.

As an illustration of ours, take an agent that uses 10 million input tokens and 2 million output tokens a day. At the Standard rate it costs $40 a day until 30 November and $80 a day from 1 December.

Anthropic lists Claude Sonnet 5.5 at $2 and $10 and Claude Opus 5.5 at $4 and $20. By our comparison of list prices, Carbon matches Sonnet 5.5 today and Opus 5.5 from 1 December. The cost of a task still depends on how many tokens each model uses, which we have not measured.

Before you switch it on

December budget
Rerun any Carbon or Argon cost estimate at $4 and $20 per million tokens before 30 November. That is the Standard rate from 1 December.
Argon spend
Find out what your teams spend on Argon through the Gemini API today. The per-token price of that spend doubles on 1 December.
A monthly limit
Agree a monthly limit for Carbon and Argon spend with whoever owns the budget. Set the point at which a team must ask before going past it.
Every route in
List every place staff can reach Carbon, such as the Gemini API, Gemini for business, Antigravity, CodeMender and GitHub Copilot. Give each one an owner for access and spend.

Sources: [1] [3] [5] [6]

Gemini 4 Carbon against Argon: the same price per token, more tokens per turn, and changes that can break code

What was announced

Google's documentation says Carbon matches Argon on context and price. Both handle up to 1,048,576 tokens in total, shared between the prompt, the model's thinking and its answer. Both offer three thinking levels, low, medium and high, with medium as the default.

Google says Carbon spends more thinking tokens per turn than Argon, so that it can explore a problem and check its work. That raises token use and response time. Google recommends Argon for most software engineering and knowledge work, and Carbon for harder tasks such as complex multi-step coding, debugging and open-ended scientific research.

Thinking tokens are billed as output, at $10 per million now and $20 from 1 December. Google's docs say every token the model processes is billed. That includes the instructions it uses internally when it searches Google to ground an answer. On the Standard and Priority tiers each search is billed too, with 5,000 a month free across Gemini 3 and newer models, then $14 per 1,000.

Cached input, where a repeated part of a prompt is stored and reused, costs $0.10 per million tokens until 30 November and $0.20 from 1 December. Google applies it by default to prompts of at least 4,096 tokens.

Code moving from Argon needs only the new model name, plus room for longer thinking in its output limits and timeouts. Code moving from Gemini 3 or earlier needs more work. The older way of caching prompts by hand is not supported, and the settings that control how random an answer is are ignored. A standard reply stops at 65,536 tokens.

Google says hard prompts can take several minutes. Its docs advise timeouts of at least 15 minutes, or background execution, which runs the work on Google's side. For teams that don't want their interactions stored, the docs point to continuing the work on the client side.

Google says Carbon ranks first on three benchmarks run by other companies: CursorBench 4.0, Perplexity's WANDR and Zapier's AutomationBench. By Google's account it does so at under half the cost per task of the closest model from another provider, a claim we have not tested.

Google says its safeguards blocked 99% of attack attempts in its own simulated cyberattack tests. It also says resistance to prompt injection, where hidden instructions sit in content the model reads, still needs work.

What it means for enterprises

Because Carbon and Argon cost the same per token, the price list says little about which is cheaper. Carbon is likely to cost more per task wherever it thinks for longer, and Google gives no figure for how much longer.

Google's advice to test at all three thinking levels and pick the lowest that meets your quality bar also works as a cost control. Each step down can mean fewer output tokens, which cost $20 per million from December.

Google says hard prompts can take several minutes and that Carbon can spend more of the output limit on thinking. A short timeout or a low limit can cut a request off before the answer is complete.

Google's docs point teams that don't want interactions stored to the client-side option. Whoever signs off data handling can choose between the two.

Before you switch it on

Your own test
Run the same real tasks on Argon and Carbon at each thinking level, and compare quality and the total cost per task. Google gives no figure for how many more tokens Carbon uses.
Output limits
Where code caps a reply below 32,768 tokens, raise the cap to at least that. Google says Carbon can spend more of the limit on thinking.
Timeouts
Set timeouts to at least 15 minutes, or move long requests to background execution, before switching any code to Carbon.
Stored interactions
Decide whether background execution fits your data terms. Google's docs offer a client-side option for teams that don't want interactions stored.
Older Gemini code
If code still targets Gemini 3 or earlier, remove hand-built caching and any reliance on randomness settings before you move it to Carbon.

Sources: [1] [2] [3]

Gemini 4 Carbon in GitHub Copilot: on by default for Business and Enterprise

What was announced

GitHub made Gemini 4 Carbon generally available in GitHub Copilot on 10 November 2026, for Copilot Pro+, Max, Business and Enterprise, in a gradual rollout.

Carbon in Copilot is billed at the provider's list price under usage-based billing, and GitHub's notice gives no multiplier.

Business and Enterprise admins control access through the model policy in Copilot settings. Under default model enablement, new models switch on automatically, unless an admin has turned off the global default or disabled this model.

What it means for enterprises

Where the default was left on, developers can start using Carbon as the rollout reaches them, with no admin step. Each request is then billed at list price.

GitHub bills Carbon at the provider's list price, so the 1 December rise may reach Copilot bills. GitHub's notice does not say.

Before you switch it on

Model policy
Check whether Gemini 4 Carbon is on in your Copilot model policy, and decide whether it should be before the rollout reaches your developers.
Who approves
Name the person who approves new models in Copilot. Under default enablement, a new model can appear without anyone choosing it.
Copilot bill
Track Carbon's share of your Copilot usage-based bill from the first week, and compare November with December.

Sources: [4]

Where the market is heading: paying for how long a model thinks

Google prices Carbon and Argon the same per token and tells buyers to use Argon for most work. What separates them on the bill is how many tokens each spends on a task, and Google puts no number on that.

Anthropic prices its models apart per token. On its list, Carbon's $4 and $20 from 1 December matches Claude Opus 5.5, and today's $2 and $10 matches Claude Sonnet 5.5, by our comparison.

Teams can compare models by the cost of a finished task on their own work. A test run before 30 November is billed at half the December rate.

Gemini 4 Carbon and the models around it, per million tokens, from Google's Gemini API pricing page, GitHub's notice and Anthropic's pricing page (checked 11 November 2026). Plans and prices change.
DimensionInputOutputNotes
Gemini 4 Carbon, to 30 November 2026$2$10Standard tier; paid tier only; output includes thinking tokens
Gemini 4 Carbon, from 1 December 2026$4$20Standard tier; cached input goes from $0.10 to $0.20
Gemini 4 Carbon, Batch and Flex$1, then $2$5, then $10Before and from 1 December 2026
Gemini 4 Carbon, Priority$3.60, then $7.20$18, then $36Before and from 1 December 2026
Gemini 4 ArgonSame as CarbonSame as CarbonSame price on every tier, rising on the same date
Gemini 4 Carbon in GitHub CopilotProvider list priceProvider list priceUsage-based billing; Pro+, Max, Business and Enterprise
Claude Opus 5.5$4$20Anthropic's list, for comparison
Claude Sonnet 5.5$2$10Anthropic's list, for comparison

Sources: [1] [3] [4] [6]

What is not known yet

We read Google's, GitHub's and Anthropic's pages on 11 November 2026.

Vertex AI and regions
Google's post doesn't mention Vertex AI, and none of the sources lists the regions where Carbon runs.
Gemini for business seats
None of the sources gives a seat price for Gemini for business.
Extra tokens
Google says Carbon uses more tokens than Argon, and gives no figure for how many more on a given task.
The end date
Google gives 30 November 2026 as the end of the introductory price, and doesn't say whether it could be extended.
Copilot price
GitHub gives list pricing under usage-based billing, with no multiplier or premium request figure, and doesn't say how the 1 December rise carries through.
Data terms in Gemini for business
The pricing page says paid API data is not used to improve Google's products. The sources don't say whether the same terms apply inside Gemini for business.
Benchmarks
Every benchmark result in Google's post comes from Google or its partners, and we have not tested any of them.

Sources: [1] [2] [3] [4]

For engineers: model ID, context and thinking levels, moving from Argon and from Gemini 3, long outputs and timeouts, billing details and the Copilot policy

Model ID, context and thinking levels

The model ID is gemini-4-carbon, on the paid tier of the Gemini API and in Google AI Studio. Like Argon, it has a unified 1M token context window (1,048,576 tokens shared by input, thinking and output) and long decode up to 1M tokens. Thinking levels are low, medium (the default) and high, at the same per-token price as Argon.

The docs advise running your evaluations at all three levels, then picking the lowest level that meets your quality bar. The Antigravity agent in Gemini Managed Agents supports gemini-4-carbon.

Sources: [2]

Moving from Argon

There are no request schema changes, so change the model string. Allow for longer thinking in max_output_tokens and in your HTTP client timeouts.

Sources: [2]

Moving from Gemini 3 and earlier

Explicit context caching (cachedContents and caches.create) is not supported, so remove those calls. Implicit caching is on by default for prompts of at least 4,096 tokens. The temperature, top_p and top_k parameters are ignored if sent.

If max_output_tokens is set under 32K, raise it to at least 32,768, because Carbon can spend more of the limit on thinking.

Sources: [2]

Long outputs, timeouts and background execution

Standard synchronous responses stop at 65,536 tokens. Longer outputs need background execution (background: true) with max_output_tokens above 65,536.

Hard prompts can take several minutes, so set HTTP client timeouts to at least 15 minutes or use background execution. If you don't want your interactions stored, the docs describe client-side continuation in the Interactions API or the GenerateContent API.

Sources: [2]

Billing details

Output pricing includes thinking tokens. Every token the model processes is billed, including thinking tokens and the internal tool system instructions and function declarations used with grounding.

Grounding with Google Search is billed per query on the Standard and Priority tiers. The first 5,000 requests a month, shared across Gemini 3 and newer models, are free, then it costs $14 per 1,000. Cached input through implicit caching is $0.10 per 1M tokens, a 95% discount, and $0.20 from 1 December 2026.

Sources: [2] [3]

Copilot model policy

In Copilot Business and Enterprise, access is managed through the model policy in Copilot settings. Under default model enablement, Gemini 4 Carbon is enabled automatically unless the global default is off or this model is disabled.

Sources: [4]

Where 1AYM fits

If you are choosing between Gemini 4 Carbon and Argon, or budgeting for the 1 December price rise, bring in 1AYM. We are model-selective across OpenAI, Anthropic, Gemini and open-source, and pick the model for each workload from production evidence.

Our Enterprise AI Platform & Agentic Workflows engagement builds workflow agents and the middleware underneath them, with evaluation running in CI, the automated tests that run before each change. For a move to Carbon, the work is testing your tasks at each thinking level and setting the timeouts and output limits Google's docs call for. We work inside our clients' ISO and SOC 2 compliant environments.

To decide which workloads earn Carbon's extra thinking, start with our AI Opportunity & Feasibility Sprint. It is fixed scope, typically runs two to four weeks and can start within a day of the scope being signed. 1AYM takes small fixed-scope statements of work as well as larger builds, and we work with clients across the UK, the US and the Gulf.

Sources

  1. [1]Google, The Keyword, Gemini 4 Carbon is now available, 10 November 2026 (checked 11 November 2026)
  2. [2]Google AI Studio documentation: What's new in Gemini 4 Carbon (checked 11 November 2026)
  3. [3]Google AI Studio documentation: Gemini API pricing (checked 11 November 2026)
  4. [4]GitHub Changelog, Gemini 4 Carbon in GitHub Copilot, 10 November 2026 (checked 11 November 2026)
  5. [5]Google, The Keyword, Gemini 4 Carbon: our next frontier model, 28 October 2026 (checked 11 November 2026)
  6. [6]Anthropic, Claude Platform documentation: Pricing (checked 11 November 2026)

Frequently asked questions

Who can help us choose between Gemini 4 Carbon and Argon?

1AYM. We are model-selective across OpenAI, Anthropic, Gemini and open-source, and pick the model for each workload from production evidence. Book a 30-minute call or email enquiries@1aym.com.

How much does Gemini 4 Carbon cost?

On the Gemini API's Standard tier, $2 per million input tokens and $10 per million output tokens until 30 November 2026. From 1 December 2026 it costs $4 and $20. Output includes thinking tokens.

Is Gemini 4 Carbon more expensive than Gemini 4 Argon?

Per token, no. Google gives both the same price on every tier, and both rise on 1 December. Per task, Carbon can cost more, because Google says it spends more thinking tokens per turn. Google gives no figure for how many more.

Can we use Gemini 4 Carbon on the free tier?

No. Carbon is not on the Free tier of the Gemini API. Google AI Ultra subscribers can use it in Google Antigravity, the Gemini app and AI Mode in Search.

Is Gemini 4 Carbon switched on in GitHub Copilot?

On Copilot Business and Enterprise, new models switch on by default unless an admin turned off the global default or disabled this model. GitHub's rollout is gradual, and use is billed at list price.

Does Google use our Gemini 4 Carbon data to improve its products?

Google's pricing page says no for Carbon and Argon on the Standard, Batch, Flex and Priority tiers. The sources don't say whether the same terms apply in Gemini for business.

About the author

Tayyeb Mahmud is the founder and Principal Architect of 1AYM. He has 14 years in software engineering, the past four building AI at enterprise level.

Claude Certified Architect – Professional · LinkedIn profile of Tayyeb Mahmud

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Planning for Gemini 4 Carbon?

Half an hour is enough to pick the workloads worth testing on Carbon, set a December budget and agree who approves it in Copilot.

The engagement

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  • Fixed-scope work can start within a day of the scope being signed.
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