Grok Build 0.1 vs Hy3
Vergleichen Sie Grok Build 0.1 and Hy3 Seite an Seite. Sehen Sie sich Vergleiche von Preis, Antwortgeschwindigkeit, Genauigkeit und Dateiunterstützung an, um das beste Modell für Ihre Aufgabe auszuwählen.
Überblick
Grok Build 0.1 vs Hy3 Übersicht
Alles, was Sie über diese KI-Modelle wissen müssen, einschließlich Funktionen, Leistung, Preise und technische Details.
xAI / Grok Build 0.1
proBeschreibung
xAI's coding model, purpose-built for autonomous software engineering rather than chat. Grok Build 0.1 acts as an engineering agent: it reasons through a problem, writes code, runs your terminal, checks for errors, and fixes its own mistakes in a loop. It reads text and images, always reasons before answering, and natively supports Model Context Protocol. Built for long-horizon coding that runs with little supervision, at a low cost, tuned for agent loops.
Tencent / Hy3
lightBeschreibung
Tencent’s open-weight reasoning model, built for agents rather than chat. Hy3 blends fast and slow thinking, switching between quick replies and deep reasoning, and Tencent tuned it hard for real production work: tool use, long agent loops, and search. It activates only a fraction of its parameters per token, so it is unusually cheap to run for its capability. Text only. Open weights, Apache 2.0.
Über
Über
Funktionen
Funktionen
Vergleich
Warum Grok Build 0.1 and Hy3 verwenden?
Aymo bietet Ihnen mehr als nur Zugang zu einzelnen Modellen — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
xAI / Grok Build 0.1
proAutonomous Engineering Agent
Purpose-built to act as an engineering agent, not a code generator. Refactors across a codebase, invokes tools, runs tests, and iterates through multi-step development tasks, picking up your project conventions as it works.
Reasoning Always On
Every response includes structured reasoning before the final output, and effort is not configurable. Built for deliberate, multi-step work rather than instant answers, so it plans before it acts.
Repository-Scale Context
A large context window, roughly 190,000 words, is sufficient to hold a substantial codebase or a long agent history in a single session. Reporting notes no fixed output cap, so it can refactor large files in one go.
Structured Code Output
Supports structured outputs and a JSON schema, so it slots into agent pipelines and developer tooling. Built to produce parseable, tool-ready output rather than long-form prose.
Native MCP And Tool Use
Natively supports Model Context Protocol, so internal knowledge bases, proprietary APIs, and MCP servers plug in directly. Built to work inside existing developer tooling rather than a closed ecosystem.
Text And Image Input
xAI lists text and image input, with text output. Send source code, diagrams, UI mockups, or error screenshots in the same request. Audio and video are not supported.
Tencent / Hy3
lightProduction Software Engineering
Tencent reports strong software development, front-end design, and even game production, refined through its own WorkBuddy and CodeBuddy products. It concedes repository-scale coding to the strongest open rival but performs well on real, shippable work.
Fast And Slow Thinking
A hybrid reasoning design with selectable effort: a no-think mode for quick replies, and deeper modes for hard problems. That lets you spend reasoning only where a task needs it, keeping simple steps fast and cheap.
Long-Context Retrieval
Holds a large context and is tuned to parse messy, lengthy input while following complex rules. Tencent reports it powering agent workflows of hundreds of steps without losing the thread.
Office And Productivity Work
Tencent highlights office productivity, financial modelling, and document generation, including PowerPoint creation through its Yuanbao product. Built for structured, real-world business output rather than long-form prose.
Agentic Search And Tool Use
Its standout strength. Tencent reports leading the open field on agentic search and tool orchestration, retrieving, filtering, and integrating information across sources. Works with agent frameworks like OpenClaw, OpenCode, and Cline.
Text Only Input
Reads and writes text. No image, audio, or video input. Despite the Hunyuan family including media models, Hy3 itself is a pure reasoning and agentic language model, so screenshots and diagrams are outside what it reads.
Warum Aymo
Warum mit Grok Build 0.1 and Hy3 auf Aymo AI chatten?
Aymo bietet Ihnen mehr als nur Zugang zu Grok Build 0.1 and Hy3 — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Antworten vergleichen
Sehen Sie, wie Grok Build 0.1 and Hy3 im Vergleich zu Claude, Gemini, Grok und anderen führenden KI-Modellen abschneidet.
Ein Arbeitsbereich
Behalten Sie alle Ihre KI-Gespräche, Dateien und Prompts in einem einzigen organisierten Arbeitsbereich.
Modelle sofort wechseln
Wechseln Sie zwischen verschiedenen KI-Modellen, ohne Ihr Gespräch neu zu starten.
Einmal hochladen
Verwenden Sie dieselben Dateien in mehreren KI-Modellen, ohne sie erneut hochladen zu müssen.
Speichern & Organisieren
Lesezeichen für wichtige Chats setzen, Projekte organisieren und jederzeit zurückkehren.
Zusammenarbeiten
Teilen Sie Gespräche und arbeiten Sie mit Teamkollegen an einem Ort zusammen.