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Qwen3.5-27B

Qwen family · 28.0B params

2recorded runs
286.6best tok/s
1verified

Evidence: 1 sourced run · 1 awaiting review · 1 independent source · first recorded May 28, 2026 · last recorded Aug 19, 2026. What these labels mean.

What the Qwen3.5-27B numbers mean

The fastest verified result on our board is 286.6 output tok/s on an Radeon AI Pro R9700 at MQ4-AWQ with a 4096-token context. That is about 3.5 ms per generated token — 500 tokens takes roughly 1.7 seconds. Prompt processing on the same record runs at 435.7 tok/s, so a 2,000-token prompt is read in about 4.6 seconds. Peak VRAM was measured at 17.5 GB.

How much VRAM does Qwen3.5-27B need?

Qwen3.5-27B has 28.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

QuantisationEstimated VRAMSmallest card that fits
Q4_K_M (4-bit)18.9 GB24 GB
Q8_0 (8-bit)35.0 GB48 GB
FP16 (16-bit)65.2 GB80 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)
  1. Radeon AI Pro R9700286.6

Models with a similar footprint

ModelParamsQ4_K_M weights
Bonsai-27B28B15.8 GB
Godoter-27B28B15.8 GB
Huihui-Qwen3.8-27B-abliterated28B15.8 GB
Qwen3.6-27B28B15.8 GB
Qwen3.6-27B-i128B15.8 GB
Qwen3.6-27B-MTP28B15.8 GB

Ranked by distance from Qwen3.5-27B's parameter count. Full benchmark board.

All benchmarks Methodology

GPUModelQuantBackendCtx tok/sprompt tok/sVRAM GBSource
Radeon AI Pro R9700 · 32 GBQwen3.5-27BMQ4-AWQhipfire 0.2.0+3730b584096286.6 ✓435.717.5src
Radeon AI Pro R9700 · 32 GBQwen3.5-27BQ4_K_XLllama.cpp —204826.7 …1099.5—src
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