Compare · 2026-10-14

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic)

As of Oct 14, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) in 1 of 1 shared categories: Decision models.

Categorydecisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted)deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic)
Decision models
#4 · Near-SOTA · Decision models
Margin 2.2727272727272663
JevBench · Oct 8, 2026
#16 · #16 in Decision models
Margin 6.742424242424249
Jev Decision Index · Oct 14, 2026
Price per 1M tokens

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted): price per 1M tokens is unset in the catalog.

deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic): price per 1M tokens is unset in the catalog.

Open weights

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted): open weights.

deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic): closed weights.

Which to pick

Decision models: As of Oct 14, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) in Decision models at #4 against #16.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic)

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic)?

As of Oct 14, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) in 1 of 1 shared categories: Decision models.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) for Decision models?

As of Oct 14, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads deck-31B (krishna765, frozen Gemma-4-31B-it, TorchAO FP8 dynamic) in Decision models at #4 against #16.