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ModelActiveClosed / proprietary

Gemini 3.8 Live

Googlefamily · Gemini 3.8ai.google.dev/gemini-api/docs/models/gemini-3.8-

The default option for most low-latency voice agent experiences and real-time dialogue without reasoning delays.

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data quality76

Updated 1 h ago · first seen 15 Sept 2026

model_01M2K15B462HNYCV40XX2D8S5X

Overview

Identity

Canonical model
Yesidentity confidence: highOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
None recorded — closed weightsofficial_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
None recordedSeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
1
API aliases
gemini-3.8-liveIdentifiers under which providers and evaluators refer to this model.
Folded evaluation variants
0Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Closed / proprietary— weights not available; 7 dimensions unknown.

Weights are not available; the model is reachable only through an API or a product.

  • Weights

    No

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

dimensions marked null are unknown, not false

Key facts

Release date

Source:Google AI for Developers (Gemini API docs)T2observed 21 h agomediumLLM-extracted

Status

Source:Google AI for Developers (Gemini API docs)T1observed 21 h agohigh

Version

Source:Google AI for Developers (Gemini API docs)T2observed 21 h agomediumLLM-extracted

API model id

Source:Google AI for Developers (Gemini API docs)T1observed 21 h agohigh

Capabilities

Modalities

Modalities
audioimagetextvideo
Input
audioimagetextvideo
Output
audiotext

Capabilities

  • Tool calling

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Structured output

    No

    Google AI for Developers (Gemini API docs) · T1

  • Reasoning

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Vision

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Audio

    Yes

    Google AI for Developers (Gemini API docs) · T1

  • Fine-tuning available

    Unavailable

Context window

Source:Google AI for Developers (Gemini API docs)T1observed 21 h agohigh

Max output

Source:Google AI for Developers (Gemini API docs)T1observed 21 h agohigh

Languages

Source:Google AI for Developers (Gemini API docs)T2observed 21 h agomediumLLM-extracted

Providers & Pricing1

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MOutput / 1MNative unitsStatusObservedSource
Google Gemini APIcheapest outputgemini-3.8-live—search_grounding_per_1k_requests=14active1 h agosince 15 Sept 2026ai.google.devT1

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 1 provider

Output price history of Gemini 3.8 Live$0$2$4$6Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $4.5 · 15 Sept 2026
  • Google Gemini API
  • Google Gemini APIfirst observed $4.515 Sept 2026

Input price · USD / 1M tokens 1 provider

Input price history of Gemini 3.8 Live$0$0.20$0.40$0.60$0.80$1Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Sept 26Google Gemini API: first observed → $0.75 · 15 Sept 2026
  • Google Gemini API
  • Google Gemini APIfirst observed $0.7515 Sept 2026

Versions & Artifacts0

Version history

Context windowfirst observation only

15 Sept 2026current

Max outputfirst observation only

15 Sept 2026current

Opennessfirst observation only

15 Sept 2026current

Statusfirst observation only

15 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 0

No artifact (checkpoint, quantisation, conversion or packaging) points to this model yet.

Timeline2

Full timeline →

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
1 claims · 1 propertiesShow all properties

Official pageofficial_url1

Claim history for Official page
ValueValid from → toStatusSourceConfidenceExtractor
https://ai.google.dev/gemini-api/docs/models/gemini-3.8-live → currentcurrentGoogle AI for Developers (Gemini API docs)T1highdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

25

Source tiers

T1T219 / 6

Freshest observation

1 h ago

Conflicts

4 flagged

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/models/gemini-3.8-live model_pageT1· Official59 min ago30
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/pricing pricingT1· Official1 h ago163
Google AI for Developers (Gemini API docs)ai.google.dev/gemini-api/docs/models model_docsT1· Official1 h ago163
Google AI for Developers (Gemini API docs)deepmind.google/blog/introducing-gemini-3-8-live-and-3-8-live-extended-thinking newsT1· Official21 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (76/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →