whatmodel.sh / decision / Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout)
Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout)
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Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout) is a source-available decision implementation from Decision Index submission: aleria-judge-1.1.0, released 14 October 2026. Its published size is 31.27B parameters.
Catalogue identity notes
Exact Decision Index tested engine aleria-judge-1.1.0; reported model Aleria Judge 1.1.0 (Gemma 4 31B). Type: inference technique; technique: autoregressive. Comparison entry; no current run command, API price or speed inferred from the benchmark.
Model information sources
Release date ↗ · Parameter count ↗
Publisher parameter count; includes the served backbone, not just adapter size.
$ how it compares
The decision models ranked either side of Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout), out of 357 with a score.
| # | model | score | where |
|---|---|---|---|
| 58 |  OneJev1.5-27B | 65±4 | model files |
| 59 |  jev-brain · Gemma-4-31B (decision readout) | 65±1 | source code |
| 60 | Aleria Judge 1.1.0 (Gemma 4 31B) (decision readout) | 65±4 | source code |
| 61 |  d1 (hosted) | 65±1 | api price unknown |
| 62 | KnowLine 4B Gen5.5 | 64±1 | model files |
see all decision models · find the ones that fit your machine
$ what it's good at
vision▁·▃▂▃▃▇▄▄█▄▃ #27 of 79 · 95% of its score · 12 tests
Beats StartLux-Decision v1.1 9B, RSI-Jev v6.1 VL 27B (effort auto), StartLux-Decision v1.1 4B here, though they rank higher overall. Trails Clef-flash, Perplexity Decider Flash v1.2 (4B), Mercury Decide (free endpoint) here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Decision Index Vision 0.4 · Mind2Web (chance-corrected points) submitted | 79.9900 points ✎ | ▁·▁▁▃▁▄▄▃▅█▂ beats 39/61 | 12% |
| Decision Index Vision 0.4 · MMMU-Pro vision (chance-corrected points) submitted | 41.0600 points ✎ | ▁▁▅▁▄▁▄█▄▃▇▇ beats 45/61 | 11% |
| Decision Index Vision 0.4 · Winoground (chance-corrected points) submitted | 85.7500 points ✎ | ▁·▁▁▁▁·▂▁▃▅█ beats 53/61 | 10% |
| Decision Index Vision 0.4: private same skills (points) | 66.7000 points ✎ | ▁▁▃▃▁▂▄▆▃▃▅█ beats 52/61 | 10% |
| Decision Index Vision 0.4 · Moderation (Hateful Memes) (chance-corrected points) submitted | 51.2000 points ✎ | ▆▃▃▆▄▄▇██▁▆▆ beats 51/61 | 8.8% |
| Decision Index Vision 0.4 · RealWorldQA (chance-corrected points) submitted | 60.6000 points ✎ | ▁·▂▂▁▃▃▅▅▃▂█ beats 32/61 | 8.0% |
| Decision Index Vision 0.4 · CharXiv (chance-corrected points) submitted | 81.2000 points ✎ | ▂▁▁▁▁▃▁▅▅▆██ beats 57/61 | 7.8% |
| Decision Index Vision 0.4 · InfographicVQA (chance-corrected points) submitted | 97.8100 points ✎ | ▁·▁▂▁▁▃▁▂▂▅█ beats 54/61 | 6.2% |
4 more tests
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Decision Index Vision 0.4 · R-Bench-M (chance-corrected points) submitted | 40.0800 points ✎ | ▂▄▇▆█▄▄▇▃··▁ beats 58/61 | 6.2% |
| Decision Index Vision 0.4 · BLINK (chance-corrected points) submitted | 59.8900 points ✎ | ▁···▁▂▂▂█▄▂▃ beats 45/61 | 5.9% |
| Decision Index Vision 0.4 · CV-Bench (chance-corrected points) submitted | 76.1200 points ✎ | ▁▁▁▁▂▁▁▁▄█▃▃ beats 39/61 | 4.7% |
| Decision Index Vision 0.4 · KIE (CORD+FUNSD) (chance-corrected points) submitted | 92.7900 points ✎ | ▁··▁▁▁▁▁▂▄█▁ beats 53/61 | 3.4% |
$ where to run it
Implementation and setup instructions ↗
Published implementation and setup documentation verified. This entry describes a decision readout or evaluated configuration, not necessarily separate trained weights. Follow the referenced version and model settings; hardware compatibility has not been verified. Source · checked 2026-10-31.
Model repository and documentation: github.com/ALERIA-ML ↗
$ how the score was worked out · Decision Index Vision 0.4 95%
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
 Decision Index Vision 0.4 · submitted; independent execution unverified | 12 | 95% |
| prior · pull toward the middle | 5% | |
| weighted average | = 64.5 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json