Compare · 2026-10-14

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B)

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 Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) 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)Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B)
Decision models
#4 · Near-SOTA · Decision models
Margin 2.2727272727272663
JevBench · Oct 8, 2026
#43 · #43 in Decision models
Margin 19.015151515151516
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.

Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B): 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.

Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B): 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 Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) in Decision models at #4 against #43.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B)

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B)?

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 Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) 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 Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) 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 Decision 2.0 Vega 27B (vLLM-SR, Qwen3.8-27B) in Decision models at #4 against #43.