Blog · Topic
Models
7 posts. See all posts.
Chronos-2 vs TimesFM 2.5 vs Toto 2 vs TiRex-2: one harness, same data
Six open-weights forecasting models compared on GIFT-Eval and TIME with one harness: size, licence, context, covariates and CRPS/MASE scores.
Do reasoning models forecast time series better?
What 2025-2026 papers found when "thinking" LLMs and RL-trained time-series reasoners were asked to forecast, and where reasoning actually helps.
Does ensembling forecasting foundation models help? Results on four benchmarks
An accuracy-weighted ensemble of six forecasting models against its best single member on GIFT-Eval, TIME, fev-bench and BOOM, and what it costs.
How to use TimesFM or Chronos-2 without hosting it
Three ways to run TimesFM or Chronos-2: self-host the open weights, use Google Cloud or AWS, or call a hosted API. Code and trade-offs for each.
Time-series foundation models: a practical guide (2026)
What a time-series foundation model is, how it differs from ARIMA, Prophet and LLMs, and how to choose, run and trust one.
TimeGPT alternatives in 2026: hosted and open-source forecasting models
TimeGPT compared with TimesFM, Chronos-2, Toto 2, Moirai, TiRex-2, Granite TTM, statsforecast, Darts and AutoGluon: hosting, licence, covariates.
Which time-series foundation model should I use? A decision guide
When to pick Chronos-2, TimesFM 2.5, Toto 2, TiRex-2, PatchTST-FM r2 or FlowState r1, their limits, and when to ensemble instead.