Key facts
- Provider
- Model family
- Gemini 3.8
- Release date
- September 22, 2026
- Status
- Current
- Access
- API only
- API model id
- gemini-3.8-flash-tts
- Context window
- Not reported
- Max output
- Not reported
- Input
- text
- Output
- audio
- Task families
- audio
- Declared capabilities
- text to speech
Gemini 3.8 Flash TTS pricing
It is the #2 most expensive of 5 current audio models priced per audio minute.
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
No independent benchmark has published a result for Gemini 3.8 Flash TTS yet. It is still compared below on price, context and capabilities.
Strengths, cautions and best uses
Strengths
- Google's flagship expressive text-to-speech model, built for studio-grade voice fidelity, with custom voices and multi-speaker scene dialogue from text prompts
- Priced per token rather than per character: $0.50 per million text input tokens and $9.00 per million audio output tokens
- Shares the Gemini 3.8 Flash generation, so a text pipeline and its narration run on the same family
Cautions
- Google doubles the rates on 2027-01-01, to $1.00 input and $18 output per 1M tokens (about $0.027 per minute)
- Audio output is billed in audio tokens, which do not convert one-for-one to text tokens, so a text-token budget does not predict this cost
- Google's pricing page lists no context window or output cap for this model, so both are recorded as unknown
- No independent speech-quality benchmark is recorded here
Best for
- Narration, audiobooks and product audio where voice quality matters more than cost
- Narration and voice output attached to an existing Gemini text pipeline
- Audio generation budgeted before the 2027 price step
Alternatives to Gemini 3.8 Flash TTS
The closest current audiomodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
Gemini 3.1 Flash Live Preview
- 63% cheaper per audio minute, $0.005 vs $0.0135
Gemini 3.5 Live Translate Preview
- 2.7x the price per audio minute, $0.0368 vs $0.0135
Qwen3.8-Omni-Flash
- From Alibaba Qwen
GPT-Live 1
- From OpenAI
Compare Gemini 3.8 Flash TTS with
Articles about Gemini 3.8 Flash TTS
- Gemini 3.8 Flash TTS: Price, Rankings and the Fine PrintSeptember 25, 2026
Other Gemini 3.8 models
Gemini 3.8 Flash TTS FAQ
How much does Gemini 3.8 Flash TTS cost?
Gemini 3.8 Flash TTS costs $0.0135 per audio minute at the standard tier. It is the #2 most expensive of 5 current audio models priced per audio minute. Source: Google, verified October 11, 2026.
Is Gemini 3.8 Flash TTS open source or API only?
Gemini 3.8 Flash TTS is available through Google's API only; its weights are not published.
What are the best alternatives to Gemini 3.8 Flash TTS?
The closest current alternatives by price and measured performance are Gemini 3.1 Flash Live Preview (63% cheaper per audio minute, $0.005 vs $0.0135), Gemini 3.5 Live Translate Preview (2.7x the price per audio minute, $0.0368 vs $0.0135), Qwen3.8-Omni-Flash (from Alibaba Qwen) and GPT-Live 1 (from OpenAI).
Sources
- Gemini 3.8 text-to-speech models · Google · official · verified October 12, 2026
- Gemini API release notes · Google · official · verified August 18, 2026 · CC-BY-4.0
- Gemini Developer API pricing · Google · official · verified October 11, 2026
- Gemini 3.8 Flash model card · Google · official · verified September 9, 2026
Cite this page
Van Data Team. "Gemini 3.8 Flash TTS Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gemini-3-8-flash-tts
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Gemini 3.8 Flash TTS fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls
