Fournisseur de modèles

Google DeepMind

Google's AI research organization and developer of Gemini and Gemma.

2Familles publiées

15Versions récentes

Site officiel → GitHub Hugging Face

Familles de modèles

Familles de modèles publiées et vérifiées de Google DeepMind.

Texte / Multimodal

Gemini

Gemini model family from Google DeepMind.

API uniquement

Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyberjuil. 2026

Texte / Multimodal

Gemma

Gemma model family from Google DeepMind.

Poids ouverts

DiffusionGemma: 4x faster text generationjuin 2026

Chronologie des versions

Informations sur les versions publiées et annonces disponibles.

juil. 21, 2026

Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash CyberGemini

Stable

juil. 17, 2026

Introducing Gemini 3.5 Flash CyberGemini

Stable

juin 30, 2026

Start building with Nano Banana 2 Lite and Gemini Omni FlashGemini

Stable

juin 10, 2026

DiffusionGemma: 4x faster text generationGemma

Stable

juin 09, 2026

Introducing Gemma 4 12B: a unified, encoder-free multimodal modelGemma

Stable

mai 17, 2026

Introducing Gemini OmniGemini

Stable

mai 15, 2026

Gemini 3.5: frontier intelligence with actionGemini

Stable

avr. 15, 2026

Gemini 3.1 Flash TTS: the next generation of expressive AI speechGemini

Stable

avr. 13, 2026

Gemini Robotics-ER 1.6: Powering real-world robotics tasks through enhanced embodied reasoningGemini

Stable

avr. 02, 2026

Gemma 4: Byte for byte, the most capable open modelsGemma

Stable

mars 26, 2026

Gemini 3.1 Flash Live: Making audio AI more natural and reliableGemini

Stable

mars 25, 2026

Lyria 3 Pro: Create longer tracks in moreGemini

Stable

mars 17, 2026

Measuring progress toward AGI: A cognitive frameworkGemini

Stable

mars 03, 2026

Gemini 3.1 Flash-Lite: Built for intelligence at scaleGemini

Stable

févr. 19, 2026

Gemini 3.1 Pro: A smarter model for your most complex tasksGemini

Stable

Projets GitHub

Dépôts officiels et sélectionnés associés à ce fournisseur.

google-deepmind/open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

★ 5,4K

Articles associés

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