Gemini Omni 1.1 FlashPricing
Input Modalities
- Text
- Vision
- Audio
- Video
Output Modalities
- Video
Providers
Performance for gemini-omni-1.1-flash
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 →- Input: $ 2 /M
- Output: $ 10 /M
- Web Search: $0.014/request
- Input Audio: $1/M tokens
- Input Video: $1/M tokens
Gemini 4 Argon is Google DeepMind’s multimodal reasoning model for complex software engineering, financial research, legal drafting, and cybersecurity defense. It supports sustained reasoning across long, multi-step workflows, combining coding capabilities with chart and long-video understanding. It can also autonomously discover, validate, and patch software vulnerabilities.
Gemini Nano Banana 2.1 (gemini-nano-banana-2.1) is Google's latest high-efficiency image generation and conversational editing model. As an upgraded version of Nano Banana 2 (Gemini 3.1 Flash Image), it significantly improves visual quality, prompt adherence, role consistency in multi-turn conversations, and text rendering while maintaining Flash-level speed and cost efficiency. It can be regarded as a more efficient counterpart to Gemini 3 Pro Image (Nano Banana Pro).
Gemini 3.8 Flash-Lite TTS (gemini-3.8-flash-lite-tts) is Google's fast, cost-efficient workhorse text-to-speech model, built to replace gemini-3.1-flash-tts-preview for high-throughput production workloads.
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
(This model has been officially taken offline; requests to gemini-3.5-flash will now be automatically routed to gemini-3.8-flash.)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.
