Gemini 3.8 Flash Lite TtsPricing
Input Modalities
- Text
Output Modalities
- Audio
Providers
Performance for gemini-3.8-flash-lite-tts
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Frequently asked questions
More models from Google
See all Google models →Gemini 3.8 Flash TTS (gemini-3.8-flash-tts) is Google's 3.8 Flash text-to-speech audio model, designed to deliver studio-grade sound fidelity, expressive performance, and long-form stability.
- Input: $ 0.75 /M
- Output: $ 3.75 /M
- Web Search: $0.014/request
- Cache Storage: $0.5/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Gemini 3.8 Flash is Google's most intelligent Flash-series model, designed for long-running software engineering tasks, autonomous agents, and complex enterprise workflows, while retaining the Flash series' fast responsiveness and cost-effectiveness.
- Input: $ 0.75 /M
- Output: $ 3.75 /M
- Web Search: $0.014/request
- Cache Storage: $1/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.
- Input: $ 1.5 /M
- Output: $ 7.5 /M
- Web Search: $0.014/request
- Cache Storage: $1/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Gemini 3.6 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at code generation, agentic execution, and spatial reasoning. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Google's newest, most compact, and most cost-effective image generation and editing model, designed for large-scale use.
- Input: $ 0.3 /M
- Output: $ 2.5 /M
- Web Search: $0.014/request
- Cache Storage: $1/h/M tokens
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Gemini 3.5 Flash-Lite is a low-latency, cost-effective multimodal model optimized for high-throughput, low-cost execution for subagent tasks and document parsing. The model supports text, image, video, audio, and PDF inputs, and is designed for high-volume agentic workflows, simple data extraction, and applications where latency and API cost are the primary constraints.
