—per task?
price not verifiedprice
—output speed?
262Kcontext
Alternatives?
ModelScoreCostPer taskWhat changes
bOpenmammoth-1 (27B)same—$0 / —Context: 262K → 16K
OpenDecider v1.2same—$0.02 / —SOpenStartLux-Decision v1.1 27Bsame——vOpenD3 Turbosame——Context: 262K → 33KvOpenD3same——ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
bmammoth-1 (27B)Opensame—$0 / —Context: 262K → 16KDecider v1.2Opensame—$0.02 / —SStartLux-Decision v1.1 27BOpensame——vD3 TurboOpensame——Context: 262K → 33KvD3Opensame——ModelScoreCostPer taskWhat changes
AJEV 35BOpen-15%——Memory (4-bit): not verifiedAll AutoTrust AI Lab models →Run it yourself
estimateFits on✗ 8 GB (phone, laptop)✗ 16 GB✓ 24 GB GPU · compressed✓ 48 GB GPU · 8-bit✓ 80 GB GPU · full quality
LicenceApache-2.0free for commercial use
Benchmarks
in Decision modelsFAQ
How much does AutoTrust-JEV-27B v1.1 cost?›
There is no per-unit API price: price not verified.
How good is AutoTrust-JEV-27B v1.1, and what is it best at?›
#3 of 99 in Decision models.
Is AutoTrust-JEV-27B v1.1 better than Decider v1.2?›
On Community Decision Index 0.4.1, AutoTrust-JEV-27B v1.1 scores 68 vs 68 — about the same.
What is the context window of AutoTrust-JEV-27B v1.1?›
262K tokens.
When was AutoTrust-JEV-27B v1.1 released? Is there a newer version?›
Released 2026-10-17. It is the current version in its line.
Is AutoTrust-JEV-27B v1.1 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run AutoTrust-JEV-27B v1.1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can AutoTrust-JEV-27B v1.1 read images?›
No, it accepts text only.
What is AutoTrust-JEV-27B v1.1?›
AutoTrust-JEV-27B v1.1 is an open-weights language model from AutoTrust AI Lab, released Oct 2026.
What are the best alternatives to AutoTrust-JEV-27B v1.1?›
mammoth-1 (27B) (open weights).