Model detail
Gemini Omni Flash
Google's multimodal video model supports fast generation and conversational editing using text, images, audio, and video context.
Model specs
- Model ID
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gemini-omni-1.1-flash
- Context length
- –
- Max output
- –
- I/O modalities
- Released
- 2026-08
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API endpoints
One MixRoute gateway, OpenAI-compatible
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Gemini
/v1beta/models/{model}:generateContentPOST -
OpenAI-compatible
/v1/chat/completionsPOST
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Tiered pricing
Unit: /1M Tokens
| Tier | Input /1M Tokens | Output /1M Tokens | Image input /1M Tokens | Audio input /1M Tokens |
|---|---|---|---|---|
| base | $1.5000 | $9.0000 | $1.5000 | $1.5000 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Google's multimodal video model supports fast generation
Google's multimodal video model supports fast generation and conversational editing using text, images, audio, and video context.
What should you check before using it?
Check duration, resolution, and aspect ratio limits
Model type: video. Verify supported features and quotas with the provider documentation. Released 2026-08-27.
Why use it through MixRoute?
Gemini Omni Flash takes text and images on one route
Text and image inputs share the same route and the same key. MixRoute serves Gemini Omni Flash on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gemini-omni-1.1-flash and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Vision input
Gemini Omni Flash can process image inputs alongside text.
image_url content part alongside text messages.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
This model has no cache-read price; caching is not counted
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FAQ
Gemini Omni Flash is a video generation model from Google. It accepts text, image, audio, video and returns video.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.