

Llama 4 Maverick is Meta's open multimodal model with a large context window. Chat with it on Aymo alongside multiple AI models.
Überblick
Alles, was Sie über dieses KI-Modell wissen müssen, einschließlich Funktionen, Leistung, Preise und technische Details.
Meta / Llama 4 Maverick
lightLlama 4 Maverick is Meta's open-weight model, grouped in the Light tier on Aymo and available on the Plus, Premium, and Business plans. It takes both text and image input, built as multimodal from the start rather than adding vision on afterward.
Chat with it for everyday tasks like drafting, summarizing, and basic visual question answering, across a range of supported languages. It holds a large amount of context, though it's more reliable at a moderate size than at its full maximum, so it's better suited to loose summarization over very long inputs than precise fact-finding deep within them.
Its vision handling covers the basics well, like reading text in an image or identifying objects, rather than deep visual reasoning. Independent testing has also shown a gap between its early headline benchmark scores and how it performs in practice, so it's worth testing directly on your own tasks rather than relying on launch-day figures.
Warum Llama 4 Maverick
Aymo bietet Ihnen mehr als nur Zugang zu Llama 4 Maverick — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Get solid results on everyday text and image work from a model Meta built for cost efficiency rather than raw capability.
Draft and summarize content across a range of supported languages, useful for teams working beyond English alone.
Share an image and get help with text extraction, object identification, or basic visual questions about what it shows.
Get support with common, everyday coding tasks, though harder problems are better handled by a stronger model.
Summarize longer documents, keeping in mind that very long inputs work best for a loose overview rather than pinpoint detail.
Start a task with Maverick, then switch to a stronger model in the same thread when a problem needs deeper reasoning or more accurate code.
Warum Aymo
Aymo bietet Ihnen mehr als nur Zugang zu Llama 4 Maverick — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Sehen Sie, wie Llama 4 Maverick 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 Llama 4 Maverick 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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Neueste Modelle
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FAQ
Alles, was Sie über die Verwendung von Llama 4 Maverick auf Aymo AI wissen müssen.
General text and image tasks at low cost, like drafting, summarizing, and basic visual question answering.
Yes. You can try Llama 4 Maverick on Aymo, with your first conversation covered by free credits. Higher limits come with paid plans.
It handles the basics well, like reading text in an image or identifying objects, but not deep visual reasoning. For complex image analysis, a newer multimodal model is a better fit.
Select it from the model selector in any chat and send your prompt, with text or an image attached. Switch to a Pro or Max-tier model mid-thread for stronger coding or reasoning.
No. It runs on your Aymo plan with no separate Meta account needed. If you'd rather use your own Meta account, BYOK supports Llama keys on qualifying plans.
Maverick scores higher on general benchmarks at a higher cost per token, while Scout runs faster and offers a far larger context window. Use Maverick for stronger reasoning and coding, and Scout for speed, cost, or extremely long documents.