
Gemini Omni Flash: audio pricing, latency and capabilities
Frontier tier: dearer than 80% of this rating. Recorded for vision, realtime voice, web search grounding.
Gemini Omni Flash is an AI model from Google DeepMind, priced at $1.5 input and $9 output per 1M tokens. That places it in the frontier tier of this rating — dearer than 80% of the 205 priced models listed.
Capabilities recorded in this rating: text & chat, vision, audio, video, realtime voice. Access is through the API rather than a consumer subscription.
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Assumes a 1:3 input-to-output ratio, which is typical for chat and generation. Dirham figures use 3.6725 per dollar. Batch and caching discounts apply where the vendor offers them.
Compared with alternatives
How Gemini Omni Flash sits against its neighbours in this rating. Tap a card to open that model.
Good and poor fit
- Reading screenshots, charts, scanned documents and photos.
- Live voice conversation where turn-taking latency matters.
- High-volume routing, classification and autocomplete.
- Long multi-step reasoning, where a larger model finishes in fewer attempts.
- Integrations that depend on structured function calls.
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