Google models - NFHN Reader

Featured Gemini models

3.5 Flash

Designed to deliver strong agentic capabilities (near-Pro level) at substantial speed and value.

Pro-level coding proficiency and parallel agentic execution
Features a 1 million token context window
Near-Pro intelligence at Flash-tier cost and speed

3.1 Flash-Lite

Our most cost-efficient model, optimized for low latency use cases for high-volume, cost-sensitive LLM traffic

Optimized for low latency and high-volume traffic
Improved response quality and instruction following
Improved audio input quality for ASR tasks

3.1 Flash Image

Turn ideas into production-ready assets

Generate high-quality images
Capable of turn-based conversational editing
Capable of multi-image fusion and character consistency for advanced creative workflows

Generally available Gemini models

🍌 Gemini 3.1 Flash-Lite Image (Nano Banana 2 Lite) Turn ideas into production-ready assets. Designed for high-volume and latency-sensitive workloads.

🍌 Gemini 3.1 Flash Image Turn ideas into production-ready assets. Features conversational editing, multi-image fusion, and character consistency for advanced creative workflows.

🍌 Gemini 3 Pro Image High-fidelity image generation with reasoning-enhanced composition. Supports legible text rendering, complex multi-turn editing, and character consistency using up to 14 reference inputs.

spark Gemini 3.5 Flash Gemini 3.5 Flash delivers near-Pro intelligence at Flash-tier cost and speed: Pro-level coding proficiency, parallel agentic execution, all at the same price point as a Flash model.

performance_auto Gemini 3.1 Flash-Lite Our most cost-efficient model, optimized for low latency use cases for high-volume, cost-sensitive LLM traffic.

diamond Gemini 2.5 Pro Our high-capability model for complex reasoning and coding. Features adaptive thinking capabilities to solve complex agentic and multimodal challenges with a 1 million token context.

spark Gemini 2.5 Flash Lightning-fast and highly capable. Delivers a balance of intelligence and latency with controllable thinking budgets for versatile applications.

🍌 Gemini 2.5 Flash Image Turn ideas into production-ready assets. Features conversational editing, multi-image fusion, and character consistency for advanced creative workflows.

performance_auto Gemini 2.5 Flash-Lite Built for massive scale. Balances cost and performance for high-throughput tasks, optimized for efficiency without sacrificing multimodal understanding.

audio_spark Gemini 2.5 Flash with Gemini Live API Designed for real-time, bidirectional streaming. Features low-latency built-in audio and affective dialogue capabilities for natural, conversational interactions.

Preview Gemini models

preview Gemini Omni Flash Generate video from text or reference assets, or edit existing videos.

preview Gemini 3.1 Flash Image Turn ideas into production-ready assets. Features conversational editing, multi-image fusion, and character consistency for advanced creative workflows.

preview Gemini 3.1 Pro Our latest reasoning-first model optimized for complex agentic workflows and coding. Features adaptive thinking, a 1M token context window, and integrated grounding for sophisticated multimodal problem solving.

preview Gemini 3 Flash Our best model for complex multimodal understanding, designed to tackle the most challenging agentic problems with strong coding and state-of-the-art reasoning capabilities.

preview Gemini 3 Pro Image High-fidelity image generation with reasoning-enhanced composition. Supports legible text rendering, complex multi-turn editing, and character consistency using up to 14 reference inputs.

Gemma models

Gemma 4 An open model well-suited for tasks like text generation, coding, and reasoning, and supporting multimodal input (text and image for all variants, and additionally audio for the E2B and E4B variants).

Gemma 3n An open model designed for efficient execution on low-resource devices, supporting multimodal input (text, image, video, and audio) and text output in over 140 languages.

Gemma 3 An open model featuring text and image input, support for over 140 languages, and a 128K context window.

Gemma 2 An open model supporting text generation, summarization, and extraction.

Gemma A small, lightweight open model supporting text generation, summarization, and extraction.

ShieldGemma 2 Instruction-tuned models for evaluating text and image safety against defined policies.

PaliGemma An open vision-language model combining SigLIP and Gemma.

CodeGemma A powerful, lightweight open model for coding tasks, including code completion, generation, and understanding.

TxGemma A model that generates predictions, classifications, or text based on therapeutic-related data, for building AI models with less data and compute.

MedGemma A collection of Gemma 3 variants trained for performance on medical text and image comprehension.

MedSigLIP A SigLIP variant trained to encode medical images and text into a common embedding space.

T5Gemma A family of lightweight encoder-decoder research models.

Embeddings models

width_normal Embeddings for Text Converts text data into vector representations for semantic search, classification, and clustering.

width_normal Multimodal Embeddings Generates vectors based on images, for tasks such as image classification and search.

Veo models

movie Veo 2 Generate Generates videos from text prompts and images.

movie Veo 3 Generate Generates videos from text prompts and images with high quality.

movie Veo 3 Fast Generates videos from text prompts and images with high quality and low latency.

movie Veo 3.1 Generate Generates videos from text prompts and images with high quality.

movie Veo 3.1 Fast Generates videos from text prompts and images with high quality and low latency.

Preview Veo models

movie Veo 3.1 Lite preview Generates videos from text prompts and images with high quality and low cost.

Lyria models

music_note_spark Lyria 3 Pro (Preview) Generates full-length music tracks from text and image prompts.

music_note_spark Lyria 3 Clip (Preview) Generates 30s audio clips from text and image prompts.

audio_spark Lyria 2 Generates music from text prompts.

Language support

Gemini

All the Gemini models can understand and respond in the following languages:

Afrikaans (af), Albanian (sq), Amharic (am), Arabic (ar), Armenian (hy), Assamese (as), Azerbaijani (az), Basque (eu), Belarusian (be), Bengali (bn), Bosnian (bs), Bulgarian (bg), Catalan (ca), Cebuano (ceb), Chinese (Simplified and Traditional) (zh), Corsican (co), Croatian (hr), Czech (cs), Danish (da), Dhivehi (dv), Dutch (nl), English (en), Esperanto (eo), Estonian (et), Filipino (Tagalog) (fil), Finnish (fi), French (fr), Frisian (fy), Galician (gl), Georgian (ka), German (de), Greek (el), Gujarati (gu), Haitian Creole (ht), Hausa (ha), Hawaiian (haw), Hebrew (iw), Hindi (hi), Hmong (hmn), Hungarian (hu), Icelandic (is), Igbo (ig), Indonesian (id), Irish (ga), Italian (it), Japanese (ja), Javanese (jv), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Krio (kri), Kurdish (ku), Kyrgyz (ky), Lao (lo), Latin (la), Latvian (lv), Lithuanian (lt), Luxembourgish (lb), Macedonian (mk), Malagasy (mg), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Meiteilon (Manipuri) (mni-Mtei), Mongolian (mn), Myanmar (Burmese) (my), Nepali (ne), Norwegian (no), Nyanja (Chichewa) (ny), Odia (Oriya) (or), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Samoan (sm), Scots Gaelic (gd), Serbian (sr), Sesotho (st), Shona (sn), Sindhi (sd), Sinhala (Sinhalese) (si), Slovak (sk), Slovenian (sl), Somali (so), Spanish (es), Sundanese (su), Swahili (sw), Swedish (sv), Tajik (tg), Tamil (ta), Telugu (te), Thai (th), Turkish (tr), Ukrainian (uk), Urdu (ur), Uyghur (ug), Uzbek (uz), Vietnamese (vi), Welsh (cy), Xhosa (xh), Yiddish (yi), Yoruba (yo), and Zulu (zu).

Gemma

Gemma and Gemma 2 support only the English (en) language. Gemma 3 and Gemma 3n provide multilingual support in over 140 languages.

Embeddings

Multilingual text embedding models support the following languages:

Afrikaans (af), Albanian (sq), Amharic (am), Arabic (ar), Armenian (hy), Azerbaijani (az), Basque (eu), Belarusian (be), Bengali (bn), Bulgarian (bg), Catalan (ca), Cebuano (ceb), Chinese (Simplified and Traditional) (zh), Corsican (co), Czech (cs), Danish (da), Dutch (nl), English (en), Esperanto (eo), Estonian (et), Filipino (Tagalog) (fil), Finnish (fi), French (fr), Frisian (fy), Galician (gl), Georgian (ka), German (de), Greek (el), Gujarati (gu), Haitian Creole (ht), Hausa (ha), Hawaiian (haw), Hebrew (iw), Hindi (hi), Hmong (hmn), Hungarian (hu), Icelandic (is), Igbo (ig), Indonesian (id), Irish (ga), Italian (it), Japanese (ja), Javanese (jv), Kannada (kn), Kazakh (kk), Khmer (km), Korean (ko), Kurdish (ku), Kyrgyz (ky), Lao (lo), Latin (la), Latvian (lv), Lithuanian (lt), Luxembourgish (lb), Macedonian (mk), Malagasy (mg), Malay (ms), Malayalam (ml), Maltese (mt), Maori (mi), Marathi (mr), Mongolian (mn), Myanmar (Burmese) (my), Nepali (ne), Nyanja (Chichewa) (ny), Norwegian (no), Pashto (ps), Persian (fa), Polish (pl), Portuguese (pt), Punjabi (pa), Romanian (ro), Russian (ru), Samoan (sm), Scots Gaelic (gd), Serbian (sr), Sesotho (st), Shona (sn), Sindhi (sd), Sinhala (Sinhalese) (si), Slovak (sk), Slovenian (sl), Somali (so), Spanish (es), Sundanese (su), Swahili (sw), Swedish (sv), Tajik (tg), Tamil (ta), Telugu (te), Thai (th), Turkish (tr), Ukrainian (uk), Urdu (ur), Uzbek (uz), Vietnamese (vi), Welsh (cy), Xhosa (xh), Yiddish (yi), Yoruba (yo), and Zulu (zu).

Explore all models in Model Garden

Model Garden is a platform that helps you discover, test, customize, and deploy Google proprietary and select OSS models and assets. To explore the generative AI models and APIs that are available on Gemini Enterprise Agent Platform, go to Model Garden in the Google Cloud console.

Go to Model Garden

To learn more about Model Garden, including available models and capabilities, see Explore AI models in Model Garden.

Model versions

To see all model versions, including legacy and retired models, see Model versions and lifecycle.