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Gemini 4 Carbon

Try Gemini 4 Carbon, Google's strongest Gemini 4 model, in the browser or through an OpenAI-compatible API. #1 on the Artificial Analysis Intelligence Index.

EntradaOficial $2.00 por 1 milhao de tokensAIReiter $0.60 por 1 milhao de tokensSaídaOficial $10.00 por 1 milhao de tokensAIReiter $3.00 por 1 milhao de tokensLeitura de cacheOficial $0.10 por 1 milhao de tokensAIReiter $0.03 por 1 milhao de tokensCriação de cacheAIReiter $0.00 por 1 milhao de tokens
Executar com API

ENTRADA

SAÍDA

Example
Generated in
42.7 seconds
Token de entrada
134
Token de saída
2354
Tokens per second
55.13 tokens / second
Time to first token
-

Detalhes do modelo

Use a mesma chave de modelo no Playground, nas solicitações da API e nos fluxos de trabalho internos.

ID do modelo
gemini-4-carbon
Provedor
Google
Protocolo
OpenAI Chat Completions
Janela de contexto
1,048,576 tokens
Saída máxima
-
Token de entrada
60 créditos / 1 mi de tokens
Token de saída
300 créditos / 1 mi de tokens
Leitura de cache
3 créditos / 1 mi de tokens
Gravação de cache
0 créditos / 1 mi de tokens

What Gemini 4 Carbon is good at

Google built Carbon on top of Gemini 4 Argon for cybersecurity and long, multi-step work. Figures below are reported by Google unless an independent leaderboard is named.

Finding and proving vulnerabilities

Carbon scores 54.8% on ExploitGym, a benchmark that asks a model to turn a known flaw into a working exploit, up from 42.0% for Argon. Point it at code you own to confirm which findings are reachable and which are noise, then have it write the patch.

Holding up against prompt injection

On Gray Swan's indirect prompt injection benchmark, attacks hidden in pages, emails and files succeeded 0% of the time against Carbon. Google says no earlier model reached zero. This matters most for agents that read content you do not control.

Long, autonomous tasks

Carbon reasons longer than Argon and checks its own work before answering. Use it where a wrong step is expensive: multi-file changes, incident analysis, or a task an agent runs for a long time without a human in the loop.

Top general score

Carbon is #1 on the Artificial Analysis Intelligence Index v5.0, an independent leaderboard, with 59. Claude Opus 5.5 scores 58 and GPT-6 Astra 57. Argon scores 50.

Carbon or Argon?

Both are Gemini 4 models with a 1M-token context window. Carbon trades speed and tokens for deeper reasoning, so the right choice depends on the task.

Pick Carbon for

Security audits, vulnerability triage, agents that browse or read untrusted documents, and hard problems where a second pass over the answer is worth the wait.

Stay on Argon for

Everyday coding, writing and knowledge work. Google still recommends Argon for most of these tasks. It answers sooner and uses fewer tokens.

Leave room in max_tokens

Carbon's reasoning and its self-check count toward the output budget, so it writes more tokens than Argon on the same prompt. Keep max_tokens modest for chat, and raise it for audits and long tasks so the answer is not cut off.

Gemini 4 Carbon vs Gemini 4 Argon vs Claude Opus 5.5 vs GPT-6 Astra

Four frontier models, all available on AIReiter with the same API key.

Gemini 4 CarbonGemini 4 ArgonClaude Opus 5.5GPT-6 Astra
DeveloperGoogleGoogleAnthropicOpenAI
Artificial Analysis Intelligence Index v5.059 (#1)505857
Context window1M tokens1M tokens1M tokens1.05M tokens
Built forCyber defense, long autonomous tasksEveryday coding and knowledge workCoding agents, long tasksGeneral reasoning
Model id on AIReitergemini-4-carbongemini-4-argonclaude-opus-5-5gpt-6-astra

The lead on the overall index is one point. Claude Opus 5.5 still scores higher on the index's coding-agent evaluations (62 to 59), and Carbon's clearest margins are in security work. Send the same real task to each model and keep the one that does it best.

How to call the Gemini 4 Carbon API

AIReiter serves Carbon over the OpenAI Chat Completions protocol. An existing OpenAI client needs two changes.

01

Repoint the client

Set the base URL to https://aireiter.com/api/v1 and use your AIReiter API key. The official OpenAI SDKs work once the base URL is changed.

02

Send the request

POST https://aireiter.com/api/v1/chat/completions { "model": "gemini-4-carbon", "max_tokens": 8192, "messages": [{"role": "user", "content": "Hello"}] }

03

Size the output

Carbon thinks before it answers, and that reasoning shares the max_tokens budget. If a response stops early, raise max_tokens before you shorten the prompt.

Gemini 4 Carbon API FAQ

/ 01

Which model id do I send?

gemini-4-carbon, the same id Google uses in the Gemini API.

/ 02

How is Carbon different from Argon?

Carbon is built on Argon. It reasons longer and double-checks its work, which raises its scores on hard and security-focused benchmarks but makes each answer slower and longer. For most everyday tasks Argon is the faster choice.

/ 03

Was Carbon only for security teams?

At first. Google announced Carbon on October 28, 2026 and gave early access to cyber defenders in its Fairwind program. Since November 10, 2026 it has been available to all paid Gemini API developers, and AIReiter serves that release.

/ 04

Do I need a Google account or a Gemini API key?

No. Use your AIReiter key with the AIReiter endpoint. To try the model before writing any code, use the playground on this page.

/ 05

Are the benchmark numbers independent?

The Artificial Analysis Intelligence Index is an independent leaderboard. ExploitGym and Gray Swan results are reported by Google. Run Carbon on your own tasks before you move a production workload to it.