Model database

Google

Gemini 3.8 Live is Google's September 15, 2026 default Live API model for low-latency voice agents and real-time dialogue. The stable model code is gemini-3.8-live. It takes text, images, audio, and video, and returns text and audio, with a 131,072-token input limit and 65,536-token output limit. Google positions it for scale and cost efficiency: interleaved reasoning, asynchronous function calling, 97-language mid-conversation switching, and visual grounding while the session keeps talking. Audio sessions are listed at $0.005 per minute input and $0.018 per minute output on the developer Live post.

Google

Gemini 3.8 Live Extended Thinking is Google's September 15, 2026 high-reasoning Live API model for complex multi-step work during a live voice session. The stable model code is gemini-3.8-live-extended-thinking. Same 131,072 / 65,536 token limits and text/image/audio/video in, text and audio out as Gemini 3.8 Live. It runs background reasoning and asynchronous tool calls while streaming audio. Google cites #1 on Artificial Analysis Speech-to-Speech Quality Index (82.6), 68.6% on τ-Voice, 35.1% on Sierra τ-Voice-banking, and 97.7% on Big Bench Audio. Same listed audio session rates as 3.8 Live.

Google

Gemini 3.8 Flash is Google's September 2, 2026 workhorse for software engineering, agentic tasks, and multi-step reasoning at Flash speed. The DeepMind model card documents text, image, audio, and video input, a 1M-token context window, 64K output, and adjustable effort levels. Google keeps the same introductory price as 3.7 Flash: $0.75 input and $3.75 output per million tokens through December 31, 2026.

Google

Gemini 3.5 Transcribe is Google's speech-to-text model for precise, formatted transcription of live and recorded audio. Google documents public-preview access in the Gemini API, Google AI Studio, Google Antigravity, and Gemini Enterprise Agent Platform, with product surfaces including Rambler on Android and the Gemini app on macOS.

Google

Gemini Omni 1.1 Flash is Google's production video generation and editing model for developers. The August 27, 2026 announcement documents scene extension from up to 10 seconds of prior context to a 40-second cumulative clip, first-and-last-frame interpolation, 360p drafts, upscaling to 1080p or 4K, and video references, with the API model ID gemini-omni-1.1-flash.

Google

WeatherNext 3 is Google DeepMind and Google Research's September 3, 2026 global weather AI model. It ingests live geostationary satellite mosaics and station observations to produce hourly forecasts, with surface variables down to 5 km and atmospheric variables at 25 km. Google is integrating it into Search, the Gemini app, Maps, the Maps Platform Weather API, Earth Engine, BigQuery, and Cloud Storage.

Google

Gemini 3.8 Flash Cyber is Google's September 2, 2026 defensive-security variant of Gemini 3.8 Flash, gated through the Fairwind Program for trusted government authorities, critical-infrastructure operators, and software maintainers. Google positions it for autonomous vulnerability discovery and automated patching, not public Gemini API self-serve.

Google

TimesFM-3 is Google Research's 330-million-parameter time-series foundation model for zero-shot univariate and multivariate forecasting. The August 31, 2026 announcement documents native multivariate forecasting in a single forward pass, past and past-future covariates, a pretraining corpus of more than 1 trillion time points, and availability on GitHub and Hugging Face, with BigQuery integration planned in the coming weeks.

Google

Gemini 3.1 Flash-Lite is Google's stable Gemini 3-series workhorse model for cost-efficient, high-volume multimodal workloads.

Google

Gemma 2 27B is Google’s open-weights Gemma family checkpoint balancing quality and deployability for research and product teams that need permissive terms without Vertex-only APIs. It is often fine-tuned for domain tasks on TPU or GPU clusters.

Google

Gemini 3.1 Pro Preview is Google's preview Gemini 3-series model for complex multimodal reasoning, software engineering behavior, and agentic workflows requiring precise tool use.

Google

Gemini 3.7 Flash is Google's workhorse model for coding, agents, web development, knowledge work, and multimodal workflows. Google documents availability through the Gemini API, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and Gemini Spark, with a 1M-token input context and up to 64K output.

Google

Google's advanced Gemini model for complex tasks, with official Gemini API documentation calling out deep reasoning and coding capabilities.

Google

Gemini 3.5 Flash is Google's stable Gemini 3-series Flash model for agentic and coding tasks where teams need strong performance with lower latency and cost than Pro.

Google

Google DeepMind Gemini 1.5 Pro targets long-context multimodal workloads—large effective context for retrieval-heavy document pipelines, plus image, audio, and video inputs on supported surfaces. It is often paired with Vertex AI or the Gemini API for enterprise workloads on GCP.

Google

Google's fastest and most budget-friendly multimodal model in the Gemini 2.5 family, according to the Gemini API model documentation.

Google

Gemini 1.5 Flash targets low-latency, cost-efficient multimodal chat and retrieval workloads on the Gemini API and Vertex AI. It keeps much of the long-context family behavior with faster responses for interactive apps.

Google

Gemini 1.0 Pro represents Google’s first broadly marketed Gemini-era general model for text and basic multimodal tasks on Vertex and consumer surfaces. New projects should prefer 1.5+ generations unless constrained by legacy integrations—verify availability.

Google

Gemini 2.0 Flash is Google’s efficiency-oriented multimodal model generation aimed at fast agentic and interactive experiences. Capabilities and naming evolve—validate against the current Gemini API reference for tool use and context limits.