decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits)
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 Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) 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)
Yes. Yes on Decision models (price per 1,000 decisions). Not the overall leader.
Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits)
#13 Best current rank: #13 in Decision models, as of Oct 15, 2026.
| Category | decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) | Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) |
|---|---|---|
| Decision models | #4 · Near-SOTA · Decision models Margin 2.2727272727272663 JevBench · Oct 8, 2026 | #13 · #13 in Decision models Margin 5.833333333333329 Jev Decision Index · Oct 14, 2026 |
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.
Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits): price per 1M tokens is unset in the catalog.
decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted): open weights.
Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits): open weights.
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 Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) in Decision models at #4 against #13.
decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits)
decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits)?
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 Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) 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 Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) 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 Quyet-1.0-Large (Chinh Nguyen, Gemma-4-31B decoder, option-letter logits) in Decision models at #4 against #13.