Gemini 1.0 Pro
The first Gemini generation’s Pro tier for broad product deployment, initially introduced in Bard.
FAMILY / GOOGLE DEEPMIND
Google DeepMind’s natively multimodal family spanning long context, reasoning, and universal-assistant work.
01 / RELEASE SEQUENCE
02 / GENERATIONS
The first Gemini generation’s Pro tier for broad product deployment, initially introduced in Bard.
Gemini 1.0 established native multimodality as a foundation-model direction rather than a wrapper around separate specialists.
Gemini 1.5 Pro moved million-token context from demonstration to developer preview, resetting expectations for how much a model could read at once.
The efficient Gemini 1.5 tier for high-throughput multimodal work with a million-token context window.
Gemini 2.0 advanced the model from understanding inputs toward acting through tools such as search and code execution.
Gemini 2.5 moved visible reasoning from a Flash experiment into the default direction for subsequent Gemini models.
A hybrid reasoning model balancing speed, cost, and controllable thinking, previewed in April and generally available in June.
The first Gemini 3 Pro preview for complex reasoning, coding, tools, and multimodal work.
The low-latency Gemini 3 preview with stronger visual-spatial reasoning and agentic coding.
The successor preview to Gemini 3 Pro, with a separate endpoint tuned to prioritize custom tools.
The low-latency, high-throughput, cost-efficient tier in the Gemini 3 family.
It continued the shift in model tiers toward agentic action speed and product usability.
A low-latency 3.5 tier designed for high-volume automation and subagents.
Improved token efficiency, coding, and agent planning over 3.5 Flash while reducing output verbosity.
The 3.7 generation of Gemini Flash for software engineering, web development, multi-step agents, and design fidelity.
It extends Flash-level speed and efficiency to longer engineering and agentic tasks while retaining full tool use and thinking levels.
It applies Gemini 3.8 Flash reasoning and coding to controlled defensive cybersecurity workflows, initially limited to governments and trusted partners.
Live Avatar extends Gemini 3.8 Live from real-time voice dialogue to video interaction with a visual persona, without introducing a separate model ID.
It combines low-latency live voice interaction with longer background reasoning as a dedicated production tier for complex voice agents.
It moves the TTS preview line into a stable release and provides a lower-latency production tier for high-throughput voice workflows.
It extends Gemini 3.8 audio from live conversation into controllable, high-quality speech generation.
Gemini 4 Argon was first announced with controlled Fairwind access, then opened globally through developer/enterprise APIs on 2026-10-13 and entered Gemini app and Search AI Mode subscription channels; this general release is a major stage distinct from its initial preview.