google

Google: Gemini 3.8 Flash TTS

google/gemini-3.8-flash-tts

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter's catalog describes google/gemini-3.8-flash-tts as a Google text-to-speech model that accepts text and produces speech. It presents the model as the creative tier in the Gemini 3.8 TTS family and as successor to Gemini 3.1 Flash TTS Preview. The listing reports a 32,768-token context window and Design Arena measurements for text-to-speech and audio realism, but no independent model card was available in this source pack.[1]

Strengths

Catalog-reported text input with speech output.[1]
Described by the catalog as the creative tier of its TTS family.[1]
Design Arena measurements are available for text-to-speech and audio realism.[1]

Limitations

Catalog-only evidence; no independent model card was included.[1]
Voice controls, language coverage, latency, licensing, and deployment requirements are unspecified.[1]
Validate real workloads because the source provides limited evaluation detail.[1]

Where to use it

Potential fit: narration and voiceover generation.[1]
Potential fit: creative speech-application prototypes.[1]
Potential fit: spoken responses in text-driven products.[1]

Sources

[1] OpenRouter catalog · Google: Gemini 3.8 Flash TTSSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Gemini 3.8 Flash TTS is a text-to-speech model from Google and the successor to [Gemini 3.1 Flash TTS Preview](https://openrouter.ai/google/gemini-3.1-flash-tts-preview). It is the creative tier of the 3.8 TTS family, suited...

Specifications

Model ID: google/gemini-3.8-flash-tts
Canonical ID: google/gemini-3.8-flash-tts-20260922
Creator: google
Added to OpenRouter: 23.09.2026
Context length: 32,768
Modality: text->speech
Input modalities: text
Output modalities: speech
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	—
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

Source	Benchmark	Value	Grade	Data retrieved
Design Arena	models · audiorealismwin rate 48.2% · rank 3	1,080Elo	—Not rated	13.11.2026
Design Arena	models · text-to-speechwin rate 78.1% · rank 1	1,468Elo	—Not rated	13.11.2026

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
Google AI Studio	32,768	—	—	—	—	100%
Google	32,768	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.