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Compare · 2026-10-15

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)

As of Oct 15, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) 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)torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)
Decision models
#4 · Near-SOTA · Decision models
Margin 2.2727272727272663
JevBench · Oct 8, 2026
#35 · #35 in Decision models
Margin 15.151515151515156
JevBench · Oct 8, 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.

torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout): 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.

torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout): open weights.

Which to pick

Decision models: As of Oct 15, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) in Decision models at #4 against #35.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout)?

As of Oct 15, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) 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 torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) for Decision models?

As of Oct 15, 2026, decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) leads torchcast-decision-12b (Torchcast AI, Gemma-4-12B fine-tune, option-letter logprob readout) in Decision models at #4 against #35.