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.
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.
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.
| Dimension | Input | Output | Notes |
|---|---|---|---|
| Gemini 4 Carbon, to 30 November 2026 | $2 | $10 | Standard tier; paid tier only; output includes thinking tokens |
| Gemini 4 Carbon, from 1 December 2026 | $4 | $20 | Standard tier; cached input goes from $0.10 to $0.20 |
| Gemini 4 Carbon, Batch and Flex | $1, then $2 | $5, then $10 | Before and from 1 December 2026 |
| Gemini 4 Carbon, Priority | $3.60, then $7.20 | $18, then $36 | Before and from 1 December 2026 |
| Gemini 4 Argon | Same as Carbon | Same as Carbon | Same price on every tier, rising on the same date |
| Gemini 4 Carbon in GitHub Copilot | Provider list price | Provider list price | Usage-based billing; Pro+, Max, Business and Enterprise |
| Claude Opus 5.5 | $4 | $20 | Anthropic's list, for comparison |
| Claude Sonnet 5.5 | $2 | $10 | Anthropic's list, for comparison |
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.
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.
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]Google, The Keyword, Gemini 4 Carbon is now available, 10 November 2026 (checked 11 November 2026)
- [2]Google AI Studio documentation: What's new in Gemini 4 Carbon (checked 11 November 2026)
- [3]Google AI Studio documentation: Gemini API pricing (checked 11 November 2026)
- [4]GitHub Changelog, Gemini 4 Carbon in GitHub Copilot, 10 November 2026 (checked 11 November 2026)
- [5]Google, The Keyword, Gemini 4 Carbon: our next frontier model, 28 October 2026 (checked 11 November 2026)
- [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.
Further
- AI spend governance · How to set budgets, caps and chargebacks for AI spend across seats, tokens and metered agent runs.
- Claude Fable 5.2 pricing and breaking changes · Fable 5.2 at $8 and $40 per million tokens, and the four changes that can break code moving from 5.1.
- Copilot model retirements and policy API · How default model enablement works in Copilot, and the API admins use to read and set model policies.
- Google's Gemini agent and coworker agents · Google Cloud's Gemini agent, and coworker agents with their own email, calendar and Drive.
- AI agent cost · What it costs to build an AI agent for one business workflow, and what moves the number up or down.
- Claude in Copilot and the EU Data Boundary · Another model choice inside a Copilot product, and where Microsoft says its data is processed.
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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
Enterprise AI Platform & Agentic Workflows
- Many of our engineers have worked inside large Silicon Valley technology companies.
- Fixed-scope work can start within a day of the scope being signed.
- Day rates start at £750 to £1,250, depending on seniority and the project.
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