NVIDIA: usdcode
usdcode is a language model from NVIDIA released on Jan 1, 2026. It reads text and writes text, with a 128K token context window and up to 4K tokens per reply.
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It costs $0 per million input tokens and $0 per million output tokens.
- Modalities
- In / out price
- $0 / $0 per 1M
- Context
- 128K
- Max output
- 4K
- Released
- Jan 1, 2026
- Knowledge cutoff
- n/a
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
usdcode 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 usdcode costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call usdcode through an OpenAI compatible API.
- Temperature
temperature
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usdcode questions
How much does the usdcode 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.
What is the context window of usdcode?
128,000 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does usdcode 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 usdcode open source?
No. NVIDIA serves it through an API only, so you cannot download the weights or host it yourself.
When was usdcode released?
Jan 1, 2026.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on usdcode?
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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