Skip to content
llm-speed

Qwen3.6-27B on RTX 4090 (24GB) + AMD EPYC 7763 64-Core Processor (128c) + 1008GB

MeasuredOn 2026-10-14, Qwen3.6-27B Q4_K_M ran at 47.1 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_d_wda_rw62f.

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cpp@0.6.0-dev (build 1, commit 3fb4767)Qwen3.6-27BQ4_K_M47.14tok/s349.5tok/s320ms21.1ms21.3ms
chat-longllama.cpp@0.6.0-dev (build 1, commit 3fb4767)Qwen3.6-27BQ4_K_M46.57tok/s2,107.9tok/s1,510ms21.4ms21.7ms
concurrent-decodellama.cpp@0.6.0-dev (build 1, commit 3fb4767)Qwen3.6-27BQ4_K_M47.15tok/s——21.2ms21.4ms
agent-tracellama.cpp@0.6.0-dev (build 1, commit 3fb4767)Qwen3.6-27BQ4_K_M46.19tok/s3,445.6tok/s626ms21.3ms21.7ms

Reproduce on your machine

Start with this model and workload selection. This command does not capture the original artifact, backend version or server settings:

Match quantization, context capacity, caching and runtime settings for a useful comparison. Duration varies by workload and hardware; the published client may differ from this run's version. How it's measured.

Share this run

Copy the short link, a Reddit-ready summary, or a README badge. Every number is the measured result on this page, and each badge links back to it.

llm-speed: 47.1 tok/s on RTX 4090 (24GB) (Qwen3.6-27B)
https://llm-speed.com/r/r_d_wda_rw62f

Related benchmarks

Provenance

Run ID
r_d_wda_rw62f
Fingerprint hash
Public key
s5KMmHYqugpBF6eGeB7wA+JNEaRK/sQyHVMy83eTRtA=
Received
2026-10-14 11:14:40