Gemini 1.0 Ultra
Gemini 1.0 established native multimodality as a foundation-model direction rather than a wrapper around separate specialists.
FAMILY / GOOGLE DEEPMIND
Google DeepMind’s natively multimodal family spanning long context, reasoning, and universal-assistant work.
01 / LINEAGE MAP
02 / GENERATIONS
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.
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.
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 current Gemini Flash workhorse for software engineering, web development, multi-step agents, and design fidelity.