Leaderboard
NVIDIA RTX 3090 24GB ×1 (Ampere)
| Recipe | AA intel | C1 decode | C4 decode | C8 decode | Prefill | TTFT | Evidence | Votes |
|---|---|---|---|---|---|---|---|---|
| GLM-5.3-Flash EXL3 3.05bpw on 1x RTX 3090 — RAM/NVMe expert tiering (near-exact) #1 | 42 | 28.2 tok/s | — | — | 1015 tok/s | — | reported | 0 |
| Qwen3.8-Flash-Next W4A16-FP8PLE on 1x RTX 3090 — CPU cold experts, MTP3, 128K (DominikBucko) | 40 | 50.3 tok/s | — | — | 2141 tok/s | 62200 ms | reported | 0 |
| Qwen3.8-27B AWQ-INT4 + DSpark on RTX 3090s — SGLang TP1/TP2/TP4 | 34 | 136.8 tok/s | 103.8 tok/s | 60.5 tok/s | 1615.8 tok/s | 98880 ms | reported | 0 |
AMD Radeon AI Pro R9700 32GB ×2
| Recipe | AA intel | C1 decode | C4 decode | C8 decode | Prefill | TTFT | Evidence | Votes |
|---|---|---|---|---|---|---|---|---|
| Qwen3.8-27B PARO-MXFP6 2x Radeon AI PRO R9700 — vLLM radiance TP2 #1 | 34 | 138 tok/s | 321.6 tok/s | 394 tok/s | 3570 tok/s | — | reported | 0 |
Machine-readable: /api/v1/leaderboard.json (these boards) · /api/v1/scores.json (per-recipe medians).