Nixtla

Developer of the closed-source TimeGPT family for forecasting and anomaly detection. The open SDK and Nixtlaverse libraries are separate from TimeGPT weights.

Seven named variants and four additional Azure listings reviewed. Account entitlements, exact parameter counts, per-frequency windows, numeric rates and deployment policies remain incomplete.

Closed-weight models

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Input tokensOutput tokens

Estimate = (input tokens × input price + output tokens × output price) / 1,000,000. Include conversation history in input and billed reasoning in output. Input-only decision models ignore the output setting; enter all billed input for one decision, including its question and criteria. Media, tools and discounts are separate.

7 models

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Model input and output limits, prices and estimated cost per question at the selected token counts.
Input tokensPublished limit*	Output tokensMaximum per response*	Input pricePer 1M tokens	Cost per question1,000 input + 500 outputEstimated · uncached
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗
Model- and frequency-dependenthistorical input window	Requested future time steps (h)forecast horizon	Usage pricing Custom enterprise quoteForecasting usage; no public numeric rate verifiedRates & conditions ↗	Different billing unitPrice details ↗

* Media models show their native limits. A shared context window includes both input and output tokens.

Original currency and billing unit, without currency conversion. Rates are dated snapshots; open the conditions for tiers, promotions and endpoint restrictions.How to read the data

Catalog coverage

Closed-weight model variants and explicitly identified closed-source managed model components across language, code, image, video, audio and other documented modalities. Global provider and historical-release coverage is being expanded; this is not yet exhaustive. 172 company reviews are still open.

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