whatmodel.sh / decision / xor-26b-a4b-v1.1
xor-26b-a4b-v1.1
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xor-26b-a4b-v1.1 is an open-weights decision model from Juspay Technologies, released 9 October 2026.
Catalogue identity notes
Exact Decision Index tested engine xor-26b-a4b-v1.1; reported model xor-26b-a4b-v1.1. Type: None; technique: None. Comparison entry; no current run command, API price or speed inferred from the benchmark.
Model information sources
$ how it compares
The decision models ranked either side of xor-26b-a4b-v1.1, out of 357 with a score, then more from Juspay Technologies.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 146 |  Solar Decide | 57±1 | api price unknown | ||
| 147 |  Sieve-Vision-4B | 56±4 | model files | ||
| 148 | xor-26b-a4b-v1.1 | 56±4 | model files | ||
| 149 |  decisio 0.4.0 (Qwen3.6-35B-A3B) (decision readout) | 56±1 | source code | ||
| 150 | Jegue 0.1 (9B) | 56±1 | model files | ||
| more from Juspay Technologies | |||||
| 72 | Xor 26B-A4B v1.2 | 63±1 | model files | ||
| 123 | Xor 1.2 | 59±1 | model files | ||
see all decision models · find the ones that fit your machine
$ what it's good at
vision▁·▃▂▃▃▇▄▄█▄▃ #47 of 79 · 95% of its score · 12 tests
Beats Clef-omni here, though they rank higher overall. Trails LiquidAI d1-3B, JPT-9B Qwen3.5-9B LoRA, Solomon v1.1 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 | 65.1900 points ✎ | ▁·▁▁▃▁▄▄▃▅█▂ beats 20/61 | 12% |
| Decision Index Vision 0.4 · MMMU-Pro vision (chance-corrected points) submitted | 30.9800 points ✎ | ▁▁▅▁▄▁▄█▄▃▇▇ beats 31/61 | 11% |
| Decision Index Vision 0.4 · Winoground (chance-corrected points) submitted | 82.2500 points ✎ | ▁·▁▁▁▁·▂▁▃▅█ beats 37/61 | 10% |
| Decision Index Vision 0.4: private same skills (points) | 50.9300 points ✎ | ▁▁▃▃▁▂▄▆▃▃▅█ beats 21/61 | 10% |
| Decision Index Vision 0.4 · Moderation (Hateful Memes) (chance-corrected points) submitted | 34.8700 points ✎ | ▆▃▃▆▄▄▇██▁▆▆ beats 26/61 | 8.8% |
| Decision Index Vision 0.4 · RealWorldQA (chance-corrected points) submitted | 50.3400 points ✎ | ▁·▂▂▁▃▃▅▅▃▂█ beats 11/61 | 8.0% |
| Decision Index Vision 0.4 · CharXiv (chance-corrected points) submitted | 71.9300 points ✎ | ▂▁▁▁▁▃▁▅▅▆██ beats 30/61 | 7.8% |
| Decision Index Vision 0.4 · InfographicVQA (chance-corrected points) submitted | 87.4300 points ✎ | ▁·▁▂▁▁▃▁▃▂▅█ beats 22/61 | 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 | 36.2900 points ✎ | ▂▄▇▆█▄▄▇▂··▁ beats 52/61 | 6.2% |
| Decision Index Vision 0.4 · BLINK (chance-corrected points) submitted | 52.9600 points ✎ | ▁···▁▂▂▂█▄▂▃ beats 24/61 | 5.9% |
| Decision Index Vision 0.4 · CV-Bench (chance-corrected points) submitted | 71.9900 points ✎ | ▁▁▁▁▂▁▁▁▄█▃▃ beats 21/61 | 4.7% |
| Decision Index Vision 0.4 · KIE (CORD+FUNSD) (chance-corrected points) submitted | 91.4500 points ✎ | ▁··▁▁▁▁▁▂▄█▁ beats 31/61 | 3.4% |
$ where to run it
Download model files ↗
Published model files verified. This is a verified repository snapshot; the benchmark does not establish an identical weight revision. A local run command and hardware requirements have not been verified for this entry. Source · checked 2026-10-31.
Model repository and documentation: huggingface.co/juspay ↗
$ 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 | = 55.9 |
$ 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