Benchmarks / Zen 6 / Zen 6 throughput & Latent Sparse Attention
Zen 6 · Throughput & subquadratic long-context attentionZen 6 throughput & Latent Sparse Attention
Zen 6 (27.3B dense), the latest open-weight generation, measured on Hanzo hardware (NVIDIA Grace-Blackwell GB10, AMD Strix Halo, Apple silicon) and with Hierarchical Latent Sparse Attention (D-LSA / N-LSA) from 8K to 10M tokens.
Latest
History
23 results across 5 metrics, newest first. Superseded runs stay, so a revision's progress can be read.
| Measured | Subject | Metric | Value | Baseline | Result | Status |
|---|---|---|---|---|---|---|
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 10M tokens (NVIDIA H200) | D-LSA Decode speedup | 42.50× | Full Attention 1.00× | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 1M tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 78.57× (0.167 ms) | Full Attention 1.00× (13.105 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 512K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 42.75× (0.154 ms) | Full Attention 1.00× (6.586 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 256K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 23.35× (0.157 ms) | Full Attention 1.00× (3.670 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA / N-LSA · 128K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 12.77× (0.152 ms) | Full Attention 1.00× (1.944 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Flat) · 64K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 6.46× (0.111 ms) | Full Attention 1.00× (0.716 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Flat) · 32K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 4.39× (0.135 ms) | Full Attention 1.00× (0.593 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA GPU Cache · 8K tokens (Hanzo Engine live) (NVIDIA Grace-Blackwell GB10) | D-LSA Decode speedup | 4.92× (70.0 tok/s) | Full Attention 1.00× (14.2 tok/s) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 10M tokens (NVIDIA H200) | D-LSA Prefill speedup | 72.40× | Full Attention 1.00× | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 1M tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 46.29× (26.40 ms) | Full Attention 1.00× (1,222.10 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 512K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 35.75× (17.09 ms) | Full Attention 1.00× (610.86 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Tree) · 256K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 27.50× (11.25 ms) | Full Attention 1.00× (309.25 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA / N-LSA · 128K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 23.72× (6.46 ms) | Full Attention 1.00× (153.29 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Flat) · 64K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 12.17× (6.71 ms) | Full Attention 1.00× (81.62 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA (Flat) · 32K tokens (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 8.58× (4.28 ms) | Full Attention 1.00× (36.70 ms) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · D-LSA GPU Cache · 8K tokens (Hanzo Engine live) (NVIDIA Grace-Blackwell GB10) | D-LSA Prefill speedup | 5.53× (3,665.5 tok/s) | Full Attention 1.00× (662.3 tok/s) | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · NVIDIA Grace-Blackwell | Decode throughput | ~70 tok/s | – | Unscored | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · AMD Strix Halo | Decode throughput | ~37 tok/s | – | Unscored | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · Apple silicon | Decode throughput | 64–81 tok/s | – | Unscored | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · N-LSA (Native) · 128K tokens | N-LSA Training speedup | 1.60× per layer | Full Attention 1.00× | Win | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · NVIDIA Grace-Blackwell | Prefill throughput | ~3,665 tok/s | – | Unscored | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · AMD Strix Halo | Prefill throughput | 1,150–1,452 tok/s | – | Unscored | Live · Hanzo-measured |
| Nov 4, 2026 | Zen 6 · Apple silicon | Prefill throughput | 500–690 tok/s | – | Unscored | Live · Hanzo-measured |
Conditions
NVIDIA Grace-Blackwell: 121 GB unified, NVFP4 + Latent Sparse Attention (D-LSA) (141.2 tok/s with DFlash2 · 46.29× prefill & 78.57× decode at 1M context (99.8% KV pruned))AMD Strix Halo: 128 GB unified, 4-bit build (0.1 ms warm snapshot TTFT · 262K context in two slots)Apple silicon: unified memory, MLX buildD-LSA (Distilled Latent Sparse Attention): 512-token blocks, 4-key pooling, mutual-cheapest Ward clustering into 16 semantic buckets (bucket_size = 8, bucket_cap = 16), top_p = 128 buckets, top_k = 512 pooled keys, window_size = 512, sink_size = 4N-LSA (Native Latent Sparse Attention): trained from scratch on next-token cross-entropy loss alone; 1.6× faster per-layer training at 128K tokens while matching full-attention accuracydecode is one request unless a row says otherwisea range is what the runs spread over; the low end is the figure ordered and drawnHardware
NVIDIA Grace-Blackwell · AMD Strix Halo · Apple silicon · NVIDIA H200
Source
Zen 6: Subquadratic Ultra-Long Context via Hierarchical Latent Sparse Attention (Nov 4, 2026)
Reproduce
hanzo-server --port 36900 --no-paged-attn run -m zenlm/zen6 --max-seq-len 1048576
More Zen 6 benchmarks
Engine prefill on CUDA vs llama.cpp
Every result for Zen 6 throughput & Latent Sparse Attention on the shelf · How these are measured