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
Tags
time-seriesforecastingfoundation-modelgoogle-researchdecoder-onlyzero-shotopen-sourcepytorchbigqueryquantile
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 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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