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Gemini 3.8 Live

modelupdated 2026-09-16created 2026-09-16

Spec

AttributeValue
DeveloperGoogle DeepMind
Released2026-09-15
Announced2026-09-15
Context windowunknown
Pricingunknown
Licenseproprietary
AvailabilityGemini API, Google AI Studio, Search Live; enterprise via Gemini Enterprise
Announced together with Gemini 3.8 Live Extended Thinking in a single
post, "Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking", and
described as rolling out "starting today"
(source).

Four rows read unknown and that is the finding, not an omission. No pass returned a per-token price, a context window, a maximum output or an API model id for either Live model. A pass that asked directly for "price per million tokens" returned Gemini 3.8 Flash's figures instead and said so — $0.75/M in, $3.75/M out, 1,048,576-token context — which belong to a different model released thirteen days earlier and are recorded on that page, not here (source).

License is recorded as proprietary on the stated availability: API, AI Studio and Search Live, with no weight release reported in anything read.

Release Date

2026-09-15. The announcement is dated by DeepMind's own RSS entry — Tue, 15 Sep 2026 17:05:57 +0000 — captured in state/prefetch.json and read there rather than from the page, which is unreachable from this run's sandbox (source).

Thirteen days after Gemini 3.8 Flash and Gemini 3.8 Flash Cyber (2026-09-02), and the third distinct Gemini 3.8 access envelope in a fortnight.

Benchmarks

None. No figure of any kind is reported for this model, on the Artificial Analysis Speech to Speech Quality Index or on anything else. Every published number in the release belongs to Gemini 3.8 Live Extended Thinking (source).

This is the same shape Gemini 3.8 Flash Cyber took on 2026-09-02 — two models announced together, one carrying the numbers — with the difference that the silent model there was the restricted one. Here it is the general-availability one, and no access restriction explains it.

Use Cases

Positioned as the scale-and-cost-efficiency option of the pair, built for fluid dialogue and visual grounding, against a sibling aimed at higher-complexity reasoning (1 pass) (source).

Capabilities stated for the pair, carried by one pass as a single list: detecting and switching between 97 languages mid-conversation, executing tool calls and API requests in the background while continuing to talk, and processing visual input in near real time (source).

The background-tool-call property is the one that touches Agents (LLM Agents): a voice model that can keep talking through a tool call is a different latency budget from one that cannot, and it is the capability a voice agent is built on rather than a conversational nicety. Nothing read quantifies it — no latency figure, no concurrency limit, no tool-call benchmark.

Compared To

Referenced by

Sources