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Results
Models I ran through the same tests on the same RTX PRO 6000, that are not in a video yet. Each one's own results; the head-to-head comes with its video. How I test.
tested 2026-10-29
unsloth/DeepSeek-V4.1-Flash-1017-GGUF UD-IQ2_XXS
| PerformancePrefill, full window | 430 s Decode about 31 tok/s at 2K context, no drafter. Part of the model runs from system RAM and the NVMe. |
| Tool useBFCL core | 70.3 % |
| Context retentionRecall over the grid | 27 / 27 100% |
| Battle arena | no result No score: both runs hit the runner's 300-minute limit partway through the 15 gauntlet battles, at 40 to 65 minutes an answer. |
| Drawing | no result Not scored yet: the facts in the drawing are not checked. |
| Voxel | no result No final build: the session ended before it handed one in. |
| DesignHard rules | 7 / 7 |
| Rube GoldbergBall in the cup | no |
| CAPTCHASolved | 18 / 40 It ran with 20 minutes a puzzle; the score is taken at 7 minutes like every other model's. Within its own 20: 23 of 40. |
| Thinking tokenstotal over 5 tests | 866,249 |
| VRAM in usethe most in any test | 94.4 GB |
- One run per test, at a 400 W GPU power cap, on llama.cpp built from ggml-org/llama.cpp#30817 (DeepSeek V4.1 support, not merged when tested): no published llama.cpp image loads it yet.
tested 2026-10-17
ukisai/Swift-1.5-Qwen3.8-27B-GSQ-RCO-GGUF IQ3_S
| PerformancePrefill, full window | 205 s |
| Tool useBFCL core | 70.7 % |
| Context retentionRecall over the grid | 27 / 27 100% |
| Battle arenaOpen arena score (1 blind army) | 362 / 1000 |
| DrawingFormat checks | 8 / 8 |
| Voxel | no result No number: the castle is only judged by eye, against another model. Its build is on its own page, under What it made. |
| DesignHard rules | 7 / 7 |
| Rube GoldbergBall in the cup | yes |
| CAPTCHASolved | 19 / 40 |
| Thinking tokenstotal over 6 tests | 1,271,767 |
| VRAM in usethe most in any test | 33.2 GB |
- One run per test, at a 400 W GPU power cap.
- The same Swift 1.5 weights as ukisai/Swift-1.5-Qwen3.8-27B-GGUF, in UkisAI's mixed-precision GSQ-RCO quant at IQ3_S, the repo's biggest tier.