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Qwen 3.6 Benchmark

·2026.04.17 21:41

Key point

Qwen3.6-35B-A3B-UD-Q2_K_XL handled 58 tool calls at a 98.3% success rate on a 16GB VRAM laptop.

Details

The Q2_K_XL Unsloth model of Qwen3.6-35B-A3B-UD-Q2_K_XL.gguf was applied again to the same paper-based web app task.

llama-server from llama.cpp was run on a 16GB VRAM laptop, handling the large context with settings of -c 90000, -b 4096, --context-shift, enable_thinking=false, and reasoning off.

The results were as follows.

  • 58 tool calls
  • 98.3% success rate
  • About 2.7 million tokens processed during the task

For reproduction, it was noted that the statisticalplumber/research-webapp-skill skill can be used as-is.

benchmarkqwenquantizationunslothlocal-llmtool-usellama-cppcontext-length
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