Veo 3.1 Lite
Veo 3.1 Lite by Google AI: specification and list price in the odnoga catalog. Not served through the odnoga gateway yet — see which models you can call today.
Veo 3.1 Lite is listed by Google AI in the odnoga catalog for its specification and price. odnoga does not serve it through the gateway yet. It accepts images alongside text.
Specification and price
| Vendor | Google AI |
|---|---|
| Model ID | veo-3.1-lite-generate-preview |
| Served on | Not served through odnoga yet |
| Pricing | Per media unit (second / image / minute) — see pricing |
| Capabilities | Reads images |
Vendor cost is the list rate for this model as recorded in the odnoga catalog — per second, image or minute, not per token; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing
In the catalog, not yet callable
odnoga tracks Veo 3.1 Lite's specification and list price, but does not serve it through the gateway yet.
We would rather say so here than let you find out from an error. If you need this model, tell us — knowing who is waiting is how we decide what to add next.
What Veo 3.1 Lite can do
Everything below is what the model itself supports, as recorded by the vendor. odnoga does not route to it yet, so none of it is reachable through the gateway today.
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How to use Veo 3.1 Lite
Derived from the odnoga catalog record for this model.
Best for
- Generating short video clips from a text prompt or a starting image, billed per second of output rather than per token.
Not the right pick when
- Agent loops that must call your functions — tool calling is not available here.
- Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
- Large documents in one request — the window is 480 tokens, so you will need chunking.
- Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.
Practical tips through odnoga
- 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
- 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
- 03For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
- 04Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.
If Veo 3.1 Lite is not the one
Models that take the same kind of input, are priced the same way, and do the closest thing to what this one does. Not a quality ranking — odnoga does not benchmark models.
| Model | Context | Input / 1M | Output / 1M | Capabilities |
|---|---|---|---|---|
| Veo 3.1 Lite | 480 | — | — | Reads images |
| Veo 3.1 Fast | 480 | — | — | Reads images |
| Veo 3.1 | 480 | — | — | Reads images |
Questions
- How much does Veo 3.1 Lite cost per 1M tokens?
- Google AI lists — / — per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
- What is Veo 3.1 Lite best for?
- Generating short video clips from a text prompt or a starting image, billed per second of output rather than per token.
- Can I switch to Veo 3.1 Lite without changing my code?
- Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "veo-3.1-lite-generate-preview" as the model id — or changing it in the managed prompt version, with no application deploy.
- How large is the Veo 3.1 Lite context window?
- 480 tokens of input, with up to 8K tokens of output per response.
All models · Pricing · Docs · Compare models in the evaluation lab
Where this model sits
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