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Gemini 3.5 Flash
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Gemini 3.5 Flash vs DeepSeek V4 Flash

Vergleichen Sie Gemini 3.5 Flash and DeepSeek V4 Flash 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 DeepSeek V4 Flash 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.

Deepseek / DeepSeek V4 Flash

all

Beschreibung

DeepSeek's fast, economical model and the surprise of the V4 series. Flash carries the same million-token context window as DeepSeek's flagship at a fraction of the size. DeepSeek says it matches the flagship's reasoning when given a larger thinking budget, trailing only on pure knowledge and the hardest agent work. Text only. Open weights under an MIT license.

Über

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Gemini 3.5 Flash
Google
Geschwindigkeit
Qualität
Kosten

Über

Anbieter
Deepseek
Geschwindigkeit
Qualität
Kosten

Funktionen

Logisches DenkenVisionWebsucheDateikontextBildkontext

Funktionen

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Vergleich

Warum Gemini 3.5 Flash and DeepSeek V4 Flash 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.

Deepseek / DeepSeek V4 Flash

all

Coding Assistants and Agent Loops

DeepSeek tuned V4 specifically for agent products, including Claude Code, OpenClaw, and OpenCode, and reports gains in code generation and document creation. Built for responsiveness inside a loop, not one-off answers.

Flagship Reasoning

Three modes: non-think for speed, think high for accuracy, think max for difficult work. DeepSeek says maximum effort brings it level with its flagship on reasoning, given a larger thinking budget.

Million-Token Window

A full million tokens, identical to DeepSeek's flagship. Its hybrid attention makes that window cheap to serve. At maximum reasoning effort, DeepSeek recommends allowing at least 384,000 tokens for the thinking trace.

Document Creation at Speed

DeepSeek reports improvements in document creation alongside code. Suited to long contracts, manuals, and technical documentation where you want the whole thing read and rewritten quickly.

Knowledge, With Limits

DeepSeek is candid here: its smaller parameter count places it slightly behind the flagship on pure knowledge tasks. It also has no native web search, so current information has to come from you.

Text Only, No Image Input

Reads and writes text. No image, audio, or video input. Screenshots, diagrams, charts, and scanned pages are outside what this model can read, which rules it out for any visual work.

Warum Aymo

Warum mit Gemini 3.5 Flash and DeepSeek V4 Flash auf Aymo AI chatten?

Aymo bietet Ihnen mehr als nur Zugang zu Gemini 3.5 Flash and DeepSeek V4 Flash — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.

Antworten vergleichen

Sehen Sie, wie Gemini 3.5 Flash and DeepSeek V4 Flash im Vergleich zu Claude, Gemini, Grok und anderen führenden KI-Modellen abschneidet.

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