Benchmarks
What each library model measured on JevBench’s 231 public typed decisions: 48 easy, 72 standard and 111 hard. Every figure sits beside the count it was computed over.
- Software
- Ardana Server/CLI
- Benchmark
- JevBench bb05a335, dataset dc3995d8, 231 public items, 600 s client timeout
- Measured
- 2026-10-09 to 2026-10-13, 1 run per quant.
Each measured size at its default quant, the one ardana pull <family>:<size> fetches, on all 231 items, best first. Sizes whose intervals overlap are not reliably different.
Ordered by accuracy, highest first.
- jevk5:9b 0.8658
- qwen3.8:27b 0.8658
- gemma-4:26b-a4b 0.8615
- gemma-4:12b 0.8571
- qwen3.6:35b-a3b 0.8528
- jevk5:4b 0.8442
- qwen3.5:9b 0.8398
- decider:4b 0.8009
- ornith-1.5:9b 0.7879
- phi-4:14b 0.7835
- gemma-4:e4b 0.7706
- qwen3:14b 0.7706
- decider:2b 0.7662
- qwen3.5:4b 0.7662
- gemma-3:12b 0.7576
- jevk5:2b 0.7359
- qwen3:8b 0.7229
- qwen3.5:2b 0.6926
- llama-3.1:8b 0.6797
- gemma-4:e2b 0.6710
- decider:0.8b 0.6667
- ling-3.0:tiny 0.6667
- phi-4:mini 0.6537
- llama-3.2:3b 0.6494
- qwen3:4b 0.6364
- olmo-3:7b 0.6234
- smollm3:3b 0.6234
- lfm2.5:2.6b 0.6061
- gemma-3:4b 0.6017
- minicpm5:1b 0.5887
- minicpm5:2b 0.5844
- qwen3:1.7b 0.5714
- qwen3.5:0.8b 0.5671
- lfm2.5:8b-a1b 0.5584
- qwen3:0.6b 0.5498
- lfm2.5:1.2b 0.5281
- gemma-3:1b 0.5065
- llama-3.2:1b 0.5065
- gemma-4:31b 0.0000
| Model | Accuracy, 95% interval | Brier | ECE (calibration_n) | Timeouts |
|---|---|---|---|---|
| jevk5:9b chat layout | 200 / 231 0.8658 0.8193–0.9099 | 0.1942 | 0.0602 (231) | 0 |
| qwen3.8:27b chat layout | 200 / 231 0.8658 0.8190–0.9075 | 0.1751 | 0.0476 (231) | 0 |
| gemma-4:26b-a4b chat layout | 199 / 231 0.8615 0.8142–0.9042 | 0.2029 | 0.0790 (231) | 0 |
| gemma-4:12b chat layout | 198 / 231 0.8571 0.8072–0.9009 | 0.2065 | 0.0886 (231) | 0 |
| qwen3.6:35b-a3b chat layout | 197 / 231 0.8528 0.8000–0.8974 | 0.2084 | 0.0341 (231) | 0 |
| jevk5:4b chat layout | 195 / 231 0.8442 0.7957–0.8918 | 0.2035 | 0.0468 (231) | 0 |
| qwen3.5:9b chat layout | 194 / 231 0.8398 0.7906–0.8870 | 0.2420 | 0.0513 (231) | 0 |
| decider:4b plain layout, 3 quants measured | 185 / 231 0.8009 0.7477–0.8506 | 0.2656 | 0.0642 (231) | 0 |
| ornith-1.5:9b chat layout | 182 / 231 0.7879 0.7311–0.8432 | 0.2746 | 0.0572 (231) | 0 |
| phi-4:14b chat layout | 181 / 231 0.7835 0.7265–0.8369 | 0.3716 | 0.1762 (231) | 0 |
| gemma-4:e4b chat layout | 178 / 231 0.7706 0.7124–0.8252 | 0.3277 | 0.1287 (231) | 0 |
| qwen3:14b chat layout | 178 / 231 0.7706 0.7130–0.8246 | 0.4066 | 0.1864 (231) | 0 |
| decider:2b plain layout, 3 quants measured | 177 / 231 0.7662 0.7074–0.8235 | 0.3284 | 0.0759 (231) | 0 |
| qwen3.5:4b chat layout | 177 / 231 0.7662 0.7091–0.8217 | 0.2872 | 0.0635 (231) | 0 |
| gemma-3:12b chat layout | 175 / 231 0.7576 0.7026–0.8130 | 0.4402 | 0.2186 (231) | 0 |
| jevk5:2b chat layout | 170 / 231 0.7359 0.6753–0.7948 | 0.3632 | 0.0721 (231) | 0 |
| qwen3:8b chat layout | 167 / 231 0.7229 0.6622–0.7835 | 0.4851 | 0.2245 (231) | 0 |
| qwen3.5:2b chat layout | 160 / 231 0.6926 0.6309–0.7542 | 0.4291 | 0.0893 (231) | 0 |
| llama-3.1:8b chat layout | 157 / 231 0.6797 0.6188–0.7391 | 0.4507 | 0.1370 (231) | 0 |
| gemma-4:e2b chat layout | 155 / 231 0.6710 0.6035–0.7314 | 0.4774 | 0.2055 (231) | 0 |
| decider:0.8b plain layout | 154 / 231 0.6667 0.6063–0.7246 | 0.4869 | 0.1682 (231) | 0 |
| ling-3.0:tiny chat layout | 154 / 231 0.6667 0.6034–0.7293 | 0.4835 | 0.1838 (231) | 0 |
| phi-4:mini chat layout | 151 / 231 0.6537 0.5856–0.7173 | 0.5347 | 0.2177 (231) | 0 |
| llama-3.2:3b chat layout | 150 / 231 0.6494 0.5823–0.7137 | 0.4942 | 0.1426 (231) | 0 |
| qwen3:4b chat layout | 147 / 231 0.6364 0.5683–0.6966 | 0.6834 | 0.3314 (231) | 0 |
| olmo-3:7b chat layout | 144 / 231 0.6234 0.5556–0.6886 | 0.6416 | 0.2958 (231) | 0 |
| smollm3:3b chat layout | 144 / 231 0.6234 0.5541–0.6904 | 0.5579 | 0.2363 (231) | 0 |
| lfm2.5:2.6b chat layout | 140 / 231 0.6061 0.5371–0.6711 | 0.6289 | 0.2558 (231) | 0 |
| gemma-3:4b chat layout | 139 / 231 0.6017 0.5302–0.6681 | 0.7748 | 0.3900 (231) | 0 |
| minicpm5:1b chat layout | 136 / 231 0.5887 0.5232–0.6538 | 0.6636 | 0.2472 (231) | 0 |
| minicpm5:2b chat layout | 135 / 231 0.5844 0.5174–0.6527 | 0.6333 | 0.2730 (231) | 0 |
| qwen3:1.7b chat layout | 132 / 231 0.5714 0.5022–0.6376 | 0.7859 | 0.3867 (231) | 0 |
| qwen3.5:0.8b chat layout | 131 / 231 0.5671 0.4978–0.6345 | 0.5611 | 0.1101 (231) | 0 |
| lfm2.5:8b-a1b chat layout | 129 / 231 0.5584 0.4865–0.6277 | 0.7070 | 0.3209 (231) | 0 |
| qwen3:0.6b chat layout | 127 / 231 0.5498 0.4805–0.6174 | 0.6945 | 0.2919 (231) | 0 |
| lfm2.5:1.2b chat layout | 122 / 231 0.5281 0.4561–0.5983 | 0.7035 | 0.3030 (231) | 0 |
| gemma-3:1b chat layout | 117 / 231 0.5065 0.4367–0.5781 | 0.9541 | 0.4747 (231) | 0 |
| llama-3.2:1b chat layout | 117 / 231 0.5065 0.4310–0.5751 | 0.6313 | 0.1727 (231) | 0 |
| gemma-4:31b stopped chat layout | 0 / 4 0.0000 0.0000–0.0000 | 0.8000 | 0.2000 (1) | 0 |
A stopped run covers fewer, easier items, so it follows the complete ones whatever the order.
Accuracy and calibration
Each measured size at its default quant: how often it is right against how far its confidence is from its accuracy. Up and to the left is better. The shaded quadrant is above the median accuracy and below the median ECE. The line, or a ring when one size beats all the others, marks the sizes no other size beats on both.
1 run is left out: a stopped run covers fewer items, and a run without a valid distribution has no ECE.
Accuracy and size on disk
Every measured quant: accuracy against the size of its GGUF, the download and roughly the memory it needs. Up and to the left is better. The shaded quadrant is above the median accuracy and below the median size of the quants shown; the line joins the quants no smaller quant beats. Each quant’s figures are in its family’s tables.
1 run is left out: a stopped run covers fewer items, and a run without a valid distribution has no accuracy.
By tier
Each measured size at its default quant, best first: its accuracy on the 48 easy, 72 standard and 111 hard items. A long line means the hard items cost it most. Tier figures carry no interval; each family’s tables give their counts.
By model
- 3 of 3 sizes measured
- 0 of 1 size measured
- 3 of 3 sizes measured
- 5 of 5 sizes measured
- 0 of 2 sizes measured
- 3 of 3 sizes measured
jevk5
JevK5, an open Jev alternative fine-tuned from Qwen3.5 for typed decisions, read in the chat layout.
- 2b
- 4b
- 9b
- 3 of 3 sizes measured
- 1 of 1 size measured
- 1 of 1 size measured
- 2 of 2 sizes measured
- 2 of 2 sizes measured
- 0 of 1 size measured
- 1 of 1 size measured
- 1 of 1 size measured
- 2 of 2 sizes measured
- 5 of 5 sizes measured
- 4 of 4 sizes measured
- 1 of 1 size measured
- 1 of 1 size measured
- 1 of 1 size measured
- 0 of 2 sizes measured
Accuracy is correct answers over attempted items, and a request that failed or timed out counts as wrong; the interval is a 95% bootstrap over items, resampling paraphrase pairs together. Brier and ECE (top-label, ten equal bins) run over the items with a valid probability distribution, whose count sits beside every ECE. Every figure is computed by JevBench’s own scorer.
Only JevBench’s public items are used (only the public half of the hard tier), so these numbers are not comparable with its published leaderboard, which includes held-out items.