Google DeepMind
Gemini 3.8 Flash TTS
- Context
- 33K
- Released
- 3w ago
- Input / 1M tokens
- $0.50
- Output / 1M tokens
- $9.00
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Google DeepMind
- Model family
- Gemini
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- September 22, 2026
- Model ID
google/gemini-3.8-flash-tts- Openness
- Closed
- License
- —
- Input modalities
- text
- Output modalities
- speech
- Modality
- text->speech
- Tokenizer
- Gemini
- Max output tokens
- 16K
- Hugging Face
- —
- Source freshness
- Endpoints synced Oct 15, 2026, 12:53 PM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| google-vertex/global | 33K | $0.50 | $9.00 | — | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| google-ai-studio | 33K | $0.50 | $9.00 | — | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Text provenance
Gemini app/webGoogle SynthID text watermarking
Google DeepMind says text generated in the Gemini app and web experience is watermarked with SynthID by adjusting token probabilities.
Official explanation