Compare · 2026-10-14

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)

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 torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) 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-27b (Torchcast AI, Qwen3.8-27B fine-tune)
Decision models
#4 · Near-SOTA · Decision models
Margin 2.2727272727272663
JevBench · Oct 8, 2026
#8 · #8 in Decision models
Margin 4.393939393939391
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.

torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune): 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-27b (Torchcast AI, Qwen3.8-27B fine-tune): open 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 torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) in Decision models at #4 against #8.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune)?

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 torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) 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-27b (Torchcast AI, Qwen3.8-27B fine-tune) 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 torchcast-decision-27b (Torchcast AI, Qwen3.8-27B fine-tune) in Decision models at #4 against #8.