Skip to content

deck31b (Gemma 4 31B)

krishna-gogineni-765Decision modelOpen weights

deck31b (Gemma 4 31B) by krishna-gogineni-765 is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 59.0 on the Jev Decision Index (rank 12).

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider
krishna-gogineni-765
Parameters
33B
Released
Oct 2026
Open weights
Yes
Question types
Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism
Decoder LM with a decision readout
Backbone
google/gemma-4-31B-it
Jev-compatible request
No
Runs on CPU
No
License
—

Benchmarks

Jev Decision IndexECE 0.204
59.0

Jev Decision Index: public 58.2, ECE 0.204, Brier 0.469. Lower ECE means its probabilities can be taken at face value.

Speed & latency

Median latency per call (Decision Index)
219 ms

Compare deck31b (Gemma 4 31B) with…

FAQ

How much does deck31b (Gemma 4 31B) cost?

deck31b (Gemma 4 31B) has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can deck31b (Gemma 4 31B) answer?

deck31b (Gemma 4 31B) answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is deck31b (Gemma 4 31B) well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.204; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is deck31b (Gemma 4 31B) open weight, and can it run on a CPU?

Yes, deck31b (Gemma 4 31B) has open weights. It needs a GPU to run at useful speed.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Benchmark Heaven JevBench). Pricing is per 1M tokens (USD); confirm with the provider before production use.