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Found 4 run configurations

Each row is a run configuration (model + hardware + framework + quantization); repeated runs of the same setup are merged — raw counts appear in each result’s source line.

ModelQwen3.5-35B-A3B

Qwen3.5-35B-A3B · Q4_K_M

L0 Self-reported

Apple M5 Max · 128GB · llama.cpp

Other

Today

21.9 tok/s

Decode

164.3 tok/s

Prefill

0.61 s

TTFT

22.4 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen3.5-35B-A3B · Q5_K_M

L0 Self-reported

NVIDIA RTX 5080 SUPER · 24GB · llama.cpp

Other

Today

32.7 tok/s

Decode

245.3 tok/s

Prefill

0.41 s

TTFT

24 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q5_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen3.5-35B-A3B · Q4_K_M

L0 Self-reported

NVIDIA RTX 5090 · 32GB · vLLM

Other

Today

69.6 tok/s

Decode

522 tok/s

Prefill

0.19 s

TTFT

22.4 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M vLLM 0.7.3 Flash Attention

Sources: Other · 1 runs · 1 independent sources

Qwen3.5-35B-A3B · Q4_K_M

L0 Self-reported

NVIDIA RTX 4090 · 24GB · llama.cpp

Other

Today

35.9 tok/s

Decode

269.3 tok/s

Prefill

0.37 s

TTFT

22.4 GB

VRAM

Config (latest run)
Linux CUDA 12.6 Q4_K_M llama.cpp b4200 Flash Attention

Sources: Other · 1 runs · 1 independent sources

4 results

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