—per task?
price not verifiedprice
—output speed?
8Kcontext
Alternatives?
ModelScoreCostPer taskWhat changes
bBettermammoth-1 (27B)Open×4—$0 / —
BetterDecider v1.2Open×3.9—$0.02 / —ABetterAutoTrust-JEV-27B v1.1Open×3.9——SBetterStartLux-Decision v1.1 27BOpen×3.9——vBetterD3 TurboOpen×3.9——ModelScoreCostPer taskWhat changes
Nothing here yet.
ModelScoreCostPer taskWhat changes
bmammoth-1 (27B)Open×4—$0 / —Decider v1.2Open×3.9—$0.02 / —AAutoTrust-JEV-27B v1.1Open×3.9——SStartLux-Decision v1.1 27BOpen×3.9——vD3 TurboOpen×3.9——Run it yourself
Fits onhardware needs not verified yet
LicenceApache-2.0free for commercial use
Benchmarks
in Decision modelsFAQ
How much does DecisionTune 1.0 cost?›
There is no per-unit API price: price not verified.
How good is DecisionTune 1.0, and what is it best at?›
#83 of 99 in Decision models.
Is DecisionTune 1.0 better than vLLM-SR d3-edge (0.6B)?›
On Community Decision Index 0.4.1, DecisionTune 1.0 scores 17.2 vs 17.7 — about the same.
What is the context window of DecisionTune 1.0?›
8K tokens.
When was DecisionTune 1.0 released? Is there a newer version?›
Released 2026-10-04. It is the current version in its line.
Is DecisionTune 1.0 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run DecisionTune 1.0 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can DecisionTune 1.0 read images?›
No, it accepts text only.
What is DecisionTune 1.0?›
DecisionTune 1.0 is an open-weights language model from DecisionTune, released Oct 2026.
What are the best alternatives to DecisionTune 1.0?›
mammoth-1 (27B) (better).