NVIDIA: synthetic-video-detector
synthetic-video-detector is a language model from NVIDIA released on Apr 16, 2026. It reads video and writes text and up to 4K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
Its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- n/a
- Max output
- 4K
- Released
- Apr 16, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
synthetic-video-detector pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0 / 1M tokens | |
|---|---|---|
| Output | $0 / 1M tokens |
What synthetic-video-detector costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call synthetic-video-detector through an OpenAI compatible API.
- Temperature
temperature
Alternatives to synthetic-video-detector
Models that take the same inputs, closest in price, cheaper ones first.
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by nvidiaDec 1, 2025$0/M input tokens$0/M output tokens
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synthetic-video-detector questions
How much does the synthetic-video-detector API cost?
$0 per million input tokens and $0 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.
Does synthetic-video-detector support tool calling?
Not through the standard tools parameter. For an agent that calls your APIs, pick a model from the alternatives below that does.
Is synthetic-video-detector open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was synthetic-video-detector released?
Apr 16, 2026.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on synthetic-video-detector?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
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