Google: Gemini Omni 1.2 Flash
google/gemini-omni-1.2-flash
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, google/gemini-omni-1.2-flash is a Google multimodal model that accepts text, image, and video input and returns text and video output. The catalog presents it as the successor to Gemini Omni 1.1 Flash, oriented toward video generation and editing with clips of up to about 15 seconds, a 131,072-token context window, and always-on reasoning adjustable between low and high effort. No independent model card or benchmark results were included in this source pack, so these capabilities are source-reported rather than measured.[1]
Strengths
Limitations
- Evidence comes only from the OpenRouter catalog; no independent model card was available in this source pack.[1]
- No benchmark scores or measured performance were reported; real-world behavior requires workload validation.[1]
- Reasoning is mandatory rather than optional, and the catalog caps generated clips at about 15 seconds.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Google: Gemini Omni 1.2 FlashSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native...
Specifications
- Model ID
- google/gemini-omni-1.2-flash
- Canonical ID
- google/gemini-omni-1.2-flash-20261105
- Creator
- Added to OpenRouter
- 05.11.2026
- Context length
- 131,072
- Modality
- text+image+video->text+video
- Input modalities
- text, image, video
- Output modalities
- text, video
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: mandatory · default low · efforts: high, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default low · efforts: high, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | input: video · output: video |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Google AI Studio | 131,072 | — | — | — | — | 16.67% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.