TimesFM 2.5

Name: TimesFM 2.5
Author: Google

TimesFMv2.5Current

Google(enterprise)

Released September 15, 2025

API Docs

Context16.4K tokens

Price (In / Out)Free / Free

CategoryLarge Language Model

Max Output1.0K tokens

About TimesFM 2.5

TimesFM (Time Series Foundation Model) is a pretrained decoder-only foundation model by Google Research for time-series forecasting. It uses a patched-decoder attention architecture where patches of time-points are treated as tokens, enabling zero-shot forecasting across domains and temporal granularities from minutes to yearly.

Capabilities

textextended thinking

Input Modalities

time-series

Output Modalities

time-seriesquantiles

Technical Details

API Identifier: google/timesfm-2.5-200m-pytorch
Category: Large Language Model
Context Window: 16,384 tokens
Max Output Tokens: 1,024 tokens

Benchmarks

Performance scores for TimesFM 2.5 across standard benchmarks.

Monash Archivegoogle-research · Sep 2025

85%

ETT Long-horizongoogle-research · Sep 2025

78%

Pricing

Token pricing for TimesFM 2.5 API usage.

Input Tokens

Free

per million tokens

Output Tokens

Free

per million tokens

Pricing Calculator

Input tokens/month

Output tokens/month

Input cost$0.00

Output cost$0.00

Estimated monthly cost$0.00

Open-source (Apache 2.0). Free to download and run locally. Enterprise options via BigQuery ML and Vertex AI with their respective pricing.

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