—per task?
price not verifiedprice
—output speed?
16Kcontext
Alternatives?
ModelScoreCostPer taskWhat changes
bBettermammoth-1 (27B)unstatedOpen×13.9—$0 / —
BetterDecider v1.2Open×13.7—$0.02 / —ABetterAutoTrust-JEV-27B v1.1Open×13.7——SBetterStartLux-Decision v1.1 27BOpen×13.7——vBetterD3 TurboOpen×13.6——ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
bmammoth-1 (27B)unstatedOpen×13.9—$0 / —Decider v1.2Open×13.7—$0.02 / —AAutoTrust-JEV-27B v1.1Open×13.7——SStartLux-Decision v1.1 27BOpen×13.7——vD3 TurboOpen×13.6——Run it yourself
Fits onhardware needs not verified yet
LicenceMITfree for commercial use
Benchmarks
in Decision modelsFAQ
How much does DM-JEPA 1.1 cost?›
There is no per-unit API price: price not verified.
How good is DM-JEPA 1.1, and what is it best at?›
#97 of 99 in Decision models.
Is DM-JEPA 1.1 better than LFM2.5 350M RLCD?›
On Community Decision Index 0.4.1, DM-JEPA 1.1 scores 5 vs 5.9 — about the same.
What is the context window of DM-JEPA 1.1?›
16K tokens.
When was DM-JEPA 1.1 released? Is there a newer version?›
Released 2026-10-04. It is the current version in its line.
Is DM-JEPA 1.1 open source?›
Yes, the weights are open (MIT licence).
Can I run DM-JEPA 1.1 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can DM-JEPA 1.1 read images?›
No, it accepts text only.
What is DM-JEPA 1.1?›
DM-JEPA 1.1 is an open-weights language model from Danger Labs, released Oct 2026.
What are the best alternatives to DM-JEPA 1.1?›
mammoth-1 (27B) (better).