Aymo AI
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Gemini 3.5 Flash
VS
Grok Build 0.1

Gemini 3.5 Flash vs Grok Build 0.1

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Überblick

Gemini 3.5 Flash vs Grok Build 0.1 Übersicht

Alles, was Sie über diese KI-Modelle wissen müssen, einschließlich Funktionen, Leistung, Preise und technische Details.

Gemini 3.5 Flash

Google / Gemini 3.5 Flash

pro

Beschreibung

Google's newest Flash-tier model, and an unusual one. Google describes it as delivering near-Pro intelligence at Flash cost and speed, with Pro-level coding proficiency and parallel agentic execution. It reads text, images, audio, video, and PDFs across a one-million-token context window. Fast, cheap, and strong on tool use. Still a preview release, with the same modest output ceiling as the rest of the Gemini 3 line.

Grok Build 0.1

xAI / Grok Build 0.1

pro

Beschreibung

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.

Über

Anbieter
Gemini 3.5 Flash
Google
Geschwindigkeit
Qualität
Kosten

Über

Anbieter
Grok Build 0.1
xAI
Geschwindigkeit
Qualität
Kosten

Funktionen

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Funktionen

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Vergleich

Warum Gemini 3.5 Flash and Grok Build 0.1 verwenden?

Aymo bietet Ihnen mehr als nur Zugang zu einzelnen Modellen — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.

Gemini 3.5 Flash

Google / Gemini 3.5 Flash

pro

Coding at Flash Speed

Google claims Pro-level coding proficiency at Flash-tier cost, and lists agentic coding among its core strengths. Built for parallel agent execution, where several tasks run at once rather than one after another.

Adjustable Thinking

Thinking runs at minimal, low, medium, or high, defaulting to medium rather than high. That makes it cheaper and faster out of the box, with room to push harder when a problem needs it.

Handle full Codebases Context

A one-million-token context window, the same as Google's Pro tier. Load a full repository, a long document set, or hours of media, and work across all of it in a single session.

A Modest Output Ceiling

Writes up to 64,000 tokens in a single response, well short of what most frontier models produce. Enough for reports and documentation, but long-form generation has to be split into parts.

Search, Maps, and URL Grounding

Supports Google Search, Grounding with Google Maps, File Search, URL Context, and code execution, and can combine them in one request. Its knowledge cutoff is January 2025, so grounding matters.

Reads Video, Audio, and PDFs

Text, images, video, audio, and PDFs, all handled natively. Output is text only. Very few models accept video or audio input at all, which makes this range genuinely uncommon.

Grok Build 0.1

xAI / Grok Build 0.1

pro

Autonomous 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.

Warum Aymo

Warum mit Gemini 3.5 Flash and Grok Build 0.1 auf Aymo AI chatten?

Aymo bietet Ihnen mehr als nur Zugang zu Gemini 3.5 Flash and Grok Build 0.1 — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.

Antworten vergleichen

Sehen Sie, wie Gemini 3.5 Flash and Grok Build 0.1 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

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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.