Compare · 2026-10-14

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) vs SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)

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 SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) 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)SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)
Decision models
#4 · Near-SOTA · Decision models
Margin 2.2727272727272663
JevBench · Oct 8, 2026
#166 · #166 in Decision models
Margin 67.42424242424242
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.

SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint): 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.

SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint): 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 SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) in Decision models at #4 against #166.

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) · SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)

decisio v0.8.0 on gemma-4-31B-it (frozen, FP8 on load, one prefill per state, self-hosted) or SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint)?

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 SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) 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 SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) 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 SPX-CD Pro (SurdAI, hosted /v1/systemone, Oct-4 checkpoint) in Decision models at #4 against #166.