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Mouse-1 vs Torchcast Decision 27B

The two are within a point on public tool benchmarks. The difference is the licence: Torchcast's weights are non-commercial, and Mouse-1 is built to be used in a product.

If you are building a product, Mouse-1 is the one you can ship. Torchcast Decision 27B is licensed CC BY-NC 4.0, non-commercial only. On public tool benchmarks the two are within a point (85.6% vs 84.9%), and Mouse-1 leads on phishing detection (72.3% vs 70.4%).

Torchcast Decision 27B, from Torchcast AI, is a LoRA merged into a 27B decision model and published on Hugging Face in early October 2026. Its card reports 33 ms per yes/no question on an H100. It is a strong research model with a licence that keeps it out of commercial products.

At a glance

Mouse-1Torchcast Decision 27B
Commercial useYesNo (CC BY-NC 4.0)
Public tool benchmarks (avg of 4)84.9%85.6%
PhishNChips72.3%70.4%
When2Call85.8%89%
How you run itHosted APISelf-host, or Featherless (cold)
CalibrationFitted cutoffs via /v1/calibrationsBoard ECE 0.024
Prompt-injection resultsPublished: 0% flippedNone published

Public tool benchmarks

Public tool benchmarks

Average of BFCL, API-Bank, When2Call and PhishNChips (%) · Higher is better

Public tool benchmarks, Average of BFCL, API-Bank, When2Call and PhishNChips (%)
Torchcast Decision 27B85.6%
Mouse-184.9%
BFCL

Function calling, exact match (%) · Higher is better

BFCL, Function calling, exact match (%)
Torchcast Decision 27B97.7%
Mouse-197.6%
API-Bank

Next API out of 53 (%) · Higher is better

API-Bank, Next API out of 53 (%)
Torchcast Decision 27B85.2%
Mouse-183.7%
When2Call

Answer, call, ask or decline (%) · Higher is better

When2Call, Answer, call, ask or decline (%)
Torchcast Decision 27B89.0%
Mouse-185.8%
PhishNChips

Phishing or legitimate email (%) · Higher is better

PhishNChips, Phishing or legitimate email (%)
Mouse-172.3%
Torchcast Decision 27B70.4%

Torchcast leads on When2Call (89 vs 85.8) and API-Bank (85.2 vs 83.7). Mouse-1 leads on PhishNChips. BFCL is a tie within 0.1 points. The board also notes that Torchcast's checkpoint was chosen with the help of index results, which can make its scores here a little optimistic.

How we measured

  • Torchcast's scores are from the Jev Decision Index board as of October 20, 2026. Mouse-1 is not on the board; its scores come from our own run of the board's kit on the same rows.
  • The licence is from Torchcast's Hugging Face model card, checked October 20, 2026.
  • We have not run Torchcast through our agent decision suites.

Sources

Checked October 20, 2026.

See also: Mouse-1 vs Darwin-27B-ZTC · Mouse-1 vs Sieve 27B · All comparisons

FAQ

Can I use Torchcast Decision 27B commercially?

Not under its published licence. Torchcast Decision 27B is released under CC BY-NC 4.0, which does not allow commercial use. Mouse-1 is a commercial API you can build a product on.

Is Torchcast Decision 27B more accurate than Mouse-1?

On the four public tool benchmarks of the Jev Decision Index the two are close: 85.6% for Torchcast against 84.9% for Mouse-1. Torchcast leads When2Call and API-Bank; Mouse-1 leads PhishNChips.

Is Torchcast well calibrated?

Yes. Its expected calibration error on the Decision Index board is 0.024, among the best there. Mouse-1 adds a calibration endpoint that fits a confidence cutoff on your own labelled data.