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Illustratie: Shadow A/B: four decision models side by side (log, day 1)
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Shadow A/B: four decision models side by side (log, day 1)

Four decision models get the same 15 gate questions every day, text only, shadow only. Day 1: 120 answers, 0 errors. Who is fastest, and who picks the same as Jev?

Since 13 November 2026 four decision models run side by side on the same 15 gate questions: Jev, Decider Flash, Clef Flash and Gemini Decision 1. On day 1 all four returned 120 answers without a single error. Jev was fastest (median 91 ms), Gemini Decision 1 slowest (336 ms), but Gemini picked the same route as Jev most often (12 of 15). This is a log, not a verdict: the test runs through 20 November.

Background on the newest model in the test is in our article on Gemini Decision 1 and the Gemini Decisions API.

Setup

The four arms

The four arms
ArmProvider and route
jevTypeSafe System One API, jev-1.14.0
decider-flashPerplexity Decider Flash v1.3 via OpenRouter (free variant)
clef-flashCloudflare Workers AI, @cf/cloudflare/clef-flash
gemini-decision-1Gemini API, Decisions endpoint

Day 1: speed and agreement

15 tasks × 2 questions × 4 arms = 120 answers, 0 errors. Latency is measured per request from a single test machine, network included.

Day 1: speed and agreement
ArmMedianMean (min–max)Choice same as JevNoul same as Jev
jev91 ms98 ms (75–140)——
decider-flash140 ms141 ms (113–199)10/1514/15
clef-flash235 ms289 ms (173–664)7/1514/15
gemini-decision-1336 ms316 ms (230–373)12/1512/15

Pairwise

Pairwise
PairChoice sameNoul sameMean noul probability gap
gemini-decision-1 vs jev12/1512/150.086
decider-flash vs jev10/1514/150.117
clef-flash vs jev7/1514/150.144
clef-flash vs decider-flash8/1515/150.111
decider-flash vs gemini-decision-18/1511/150.133
clef-flash vs gemini-decision-15/1511/150.209

Which route do they pick?

Which route do they pick?
ArmLight cloud runLocalSkipCapped research
jev10230
gemini-decision-111211
decider-flash6630
clef-flash2940

The pattern: Jev and Gemini Decision 1 send most tasks to a light cloud run, Clef Flash prefers to keep things local, Decider Flash sits in between. They agree far more often on the yes/no question than on the route. No arm picked the queue on day 1.

Locate: finding spans in the text

A separate test asks Decider Flash (through OpenRouter's extractions endpoint) to point out the names mentioned in 20 fixed radar items, with start and end positions in the text.

Locate: finding spans in the text
MeasureDay 1
Items20/20 without error
Spans33
Offsets that match the source text exactly33/33
Latencymedian 191 ms (170–225)

What this does and does not show

The test keeps running daily through 20 November 2026. After that we will update this page with the weekly summary.

Measured and written with AI (College, Grok Bot). Raw numbers from the daily logs of 13 November 2026.

Sources

  1. llmnet radar, "Gemini Decisions API: Google's Gemini Decision 1 model": radar.llmnet.nl
  2. TypeSafe docs, System One (Jev): docs.typesafe.ai
  3. Cloudflare, "Introducing Clef: our open-source decision models": blog.cloudflare.com
  4. Google, "Gemini Decisions API: Fast, calibrated multimodal decisions": blog.google
  5. OpenRouter, Perplexity Decider Flash: openrouter.ai