DeepSeek V4.1 Flash vs Gemma 4 31B
Vergleichen Sie DeepSeek V4.1 Flash and Gemma 4 31B Seite an Seite. Sehen Sie sich Vergleiche von Preis, Antwortgeschwindigkeit, Genauigkeit und Dateiunterstützung an, um das beste Modell für Ihre Aufgabe auszuwählen.
Überblick
DeepSeek V4.1 Flash vs Gemma 4 31B Übersicht
Alles, was Sie über diese KI-Modelle wissen müssen, einschließlich Funktionen, Leistung, Preise und technische Details.
Deepseek / DeepSeek V4.1 Flash
proBeschreibung
DeepSeek's efficient multimodal model, and the release that brought vision to its Flash line. V4.1 Flash reads text and images, activates only a small fraction of its parameters per token, and holds a very large context. A new architecture uses less compute for long inputs than for generation, making it fast and cheap for input-heavy agent work. Strong on coding and long-context tasks. Free to start on Aymo. Open weights under an MIT license.
Google / Gemma 4 31B
lightBeschreibung
Google's open model family, and the one you can run on your own hardware. Gemma 4 handles text, images, and video, parses documents and handwriting, and was trained across more than 140 languages. Its image understanding is unusually detailed, covering OCR, charts, and screen layouts. Weights are open, so it can be self-hosted or run offline entirely, which no closed frontier model allows.
Über
Über
Funktionen
Funktionen
Vergleich
Warum DeepSeek V4.1 Flash and Gemma 4 31B verwenden?
Aymo bietet Ihnen mehr als nur Zugang zu einzelnen Modellen — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Deepseek / DeepSeek V4.1 Flash
proAgentic Coding
DeepSeek reports sharp coding gains over the previous Flash model, tuned for software agents and long-horizon tasks. Built for repository-scale work and tool-driven agent loops rather than single edits.
Reasoning You Adjust
Reasoning effort ranges from off to maximum. DeepSeek reports strong results with high effort, though independent testing notes that it is verbose and can use many tokens.
Efficient Long Context
A very large context window, with a new architecture that cuts the memory cost of holding long inputs to roughly a quarter of the previous Flash model. Built for input-heavy agentic workloads.
Document And Code Output
DeepSeek reports gains in document creation alongside code. Suited to long technical documentation and structured output at speed, rather than the most polished long-form writing.
Analysis Without Search
Reasons over what you supply, including images, and reach strong scores on knowledge and long-context benchmarks. It has no native web search, so anything up to date comes through connected tools.
Text And Image Input
DeepSeek's model card lists native text and image input, with text output, integrating vision into the model rather than a separate variant. Screenshots, diagrams, and charts are now within reach, unlike earlier DeepSeek models.
Google / Gemma 4 31B
lightCoding That Runs Offline
Google positions Gemma 4 as a code-generation, completion, and correction tool and says it can turn a workstation into a local-first coding assistant. Function calling is native, so it can drive tools.
Configurable Thinking Modes
Google describes every model in the family as a capable reasoner with configurable thinking modes, so you can trade depth against speed on a task-by-task basis rather than being locked to one setting.
Room for Repositories and Long Documents
A 256,000-token context window on the larger sizes. Google says this is enough to pass whole repositories or long documents in a single prompt without chunking them into separate requests.
Writing in Many Languages
Trained natively on more than 140 languages, with out-of-the-box support for over 35. The broadest multilingual coverage of any model here, and the reason it suits non-English writing.
Analysis Without Live Search
Reads and analyses whatever you give it, including PDFs, charts, and tables. It has no native web search, so anything current has to be supplied or fetched through a tool you connect.
Images, Video, and Handwriting
Google lists object detection, document and PDF parsing, screen and UI understanding, chart comprehension, multilingual OCR, and handwriting recognition. Video is analyzed as a sequence of frames. Text and images can be interleaved freely.
Warum Aymo
Warum mit DeepSeek V4.1 Flash and Gemma 4 31B auf Aymo AI chatten?
Aymo bietet Ihnen mehr als nur Zugang zu DeepSeek V4.1 Flash and Gemma 4 31B — es bietet einen kompletten Multi-Modell-KI-Arbeitsbereich, der auf Produktivität ausgelegt ist.
Antworten vergleichen
Sehen Sie, wie DeepSeek V4.1 Flash and Gemma 4 31B 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.