

Chat with Gemini 4 Carbon online for the hardest coding, research, and analysis tasks. Try it free on Aymo alongside multiple AI models.
Überblick
Alles, was Sie über dieses KI-Modell wissen müssen, einschließlich Funktionen, Leistung, Preise und technische Details.
Google / Gemini 4 Carbon
maxGemini 4 Carbon is Google's strongest Gemini 4 model, released for general use in November 2026. It is built for long, multi-step work in coding, science, and professional analysis, and it spends extra effort checking its answers.
Use it for complex debugging, large code migrations, open-ended research, and detailed finance or legal analysis. It reads images, audio, and PDFs alongside text, can search the web for current information, and holds a very large amount of context.
It takes longer to answer and costs more to run than Gemini 4 Argon. Google recommends Argon for most coding and knowledge work, and Carbon for the hardest problems.
Warum Gemini 4 Carbon
Aymo bietet Ihnen mehr als nur Zugang zu Gemini 4 Carbon — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Fix bugs across large codebases, plan big code migrations, and build full web apps. Google built Carbon for long, multi-step coding work.
Hand it problems that test the limits, like open-ended research or tricky debugging. Carbon spends more effort exploring, reasoning, and checking before it answers.
Attach images, audio, or PDFs with your question. Carbon reads them together with your text and answers using everything you shared.
Analyze contracts, financial reports, and research papers, then turn them into clear reports, tables, and structured summaries you can use right away.
Ask about recent news, prices, or events, and it can pull in up-to-date information through built-in web search on Aymo.
Review code for security flaws, work through hard science questions, and check research methods with a model Google built for careful, high-stakes work.
Warum Aymo
Aymo bietet Ihnen mehr als nur Zugang zu Gemini 4 Carbon — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Sehen Sie, wie Gemini 4 Carbon im Vergleich zu Claude, Gemini, Grok und anderen führenden KI-Modellen abschneidet.
Behalten Sie alle Ihre KI-Gespräche, Dateien und Prompts in einem einzigen organisierten Arbeitsbereich.
Wechseln Sie zwischen verschiedenen KI-Modellen, ohne Ihr Gespräch neu zu starten.
Verwenden Sie dieselben Dateien in mehreren KI-Modellen, ohne sie erneut hochladen zu müssen.
Lesezeichen für wichtige Chats setzen, Projekte organisieren und jederzeit zurückkehren.
Teilen Sie Gespräche und arbeiten Sie mit Teamkollegen an einem Ort zusammen.
Legen Sie mit Gemini 4 Carbon sofort in drei einfachen Schritten los.
Geben Sie Anweisungen oder eine Abfrage im Eingabebereich der Chatbox oben ein.
Aktivieren Sie die Websuche oder den DeepThink-Logikmodus über die Composer-Schaltflächen.
Drücken Sie die Eingabetaste, um den Chat-Thread zu erstellen und Ihre Antwort zu erhalten.
Wettbewerber
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FAQ
Alles, was Sie über die Verwendung von Gemini 4 Carbon auf Aymo AI wissen müssen.
The hardest problems: complex multi-step coding and debugging, open-ended research, and detailed analysis where accuracy matters more than speed.
Yes. You can try Gemini 4 Carbon on Aymo, with your first conversation covered by free credits. Higher limits come with paid plans.
Yes. Google built it for multi-step coding, including bug fixes across large codebases, code migrations, and full web apps. Google reports it ranks first on CursorBench 4.0.
Select it from the model selector in any chat and send your prompt, with text, an image, an audio clip, or a PDF attached. Hard questions take longer, since it checks its work first.
No. It runs on your Aymo plan with no separate Google account or API key needed. If you'd rather use your own Google account, BYOK supports Gemini keys on qualifying plans.
Both are Gemini 4 models. Argon is faster and more efficient, and Google recommends it for most coding and knowledge work. Carbon puts more effort into each answer and suits the hardest tasks, like complex debugging and open-ended research.