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Gemini 3.5 Flash
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GPT-5 Nano

Gemini 3.5 Flash vs GPT-5 Nano

Vergleichen Sie Gemini 3.5 Flash and GPT-5 Nano Seite an Seite. Sehen Sie sich Vergleiche von Preis, Antwortgeschwindigkeit, Genauigkeit und Dateiunterstützung an, um das beste Modell für Ihre Aufgabe auszuwählen.

Überblick

Gemini 3.5 Flash vs GPT-5 Nano 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.

GPT-5 Nano

OpenAI / GPT-5 Nano

light

Beschreibung

OpenAI's smallest and cheapest GPT-5 model, built for speed above all. GPT-5 Nano is made for summarisation, classification, and other well-defined tasks that run at high volume. It reads text and images, with adjustable reasoning effort. Reasoning depth is shallow by design and its knowledge is dated. The trade is cost: it is among the cheapest models in the catalog.

Über

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Gemini 3.5 Flash
Google
Geschwindigkeit
Qualität
Kosten

Über

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GPT-5 Nano
OpenAI
Geschwindigkeit
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Funktionen

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Vergleich

Warum Gemini 3.5 Flash and GPT-5 Nano 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.

GPT-5 Nano

OpenAI / GPT-5 Nano

light

Coding Sub-Tasks

Suited to small, well-scoped coding jobs and to acting as a fast sub-agent inside a larger system, rather than tackling whole problems. Reasoning depth is limited, so keep the scope tight.

Adjustable Reasoning Effort

Reasoning effort runs from minimal through low, medium, and high. Even at higher effort it is a shallow reasoner by design, so it suits speed-sensitive work rather than hard multi-step problems.

Room For Long Documents

A large context window, enough to summarise long reports or classify big batches of text in a single pass without splitting the input into separate requests.

Summarisation And Classification

OpenAI names summarisation and classification as its core uses. Built to process high volumes of text quickly and cheaply rather than to produce polished long-form writing.

Analysis On Older Knowledge

Its training data is dated by current standards, so it is fine for processing text you supply but weaker on recent events, which need live sources rather than the model's own knowledge.

Text And Image Input

Reads text and images, so you can send screenshots or scanned pages alongside your prompt. Output is text only. OpenAI states audio and video are not supported.

Warum Aymo

Warum mit Gemini 3.5 Flash and GPT-5 Nano auf Aymo AI chatten?

Aymo bietet Ihnen mehr als nur Zugang zu Gemini 3.5 Flash and GPT-5 Nano — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.

Antworten vergleichen

Sehen Sie, wie Gemini 3.5 Flash and GPT-5 Nano im Vergleich zu Claude, Gemini, Grok und anderen führenden KI-Modellen abschneidet.

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