Skip to content
llm-speed

Qwen3.8-27B-ctx8k on RTX 4090 (24GB)

MeasuredOn 2026-10-22, Qwen3.8-27B-ctx8k Q4_K_M ran at 44.2 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_tt9io-8lu9p.

RTX 4090 (24GB)RTX 4090 (24GB)
suite suite-v1
cli 0.0.9
signedS+Wz/kO9Gy…
Embed badge@llmspeedsubmitted Oct 22, 2026

Workload results

WorkloadBackendModeldecode tok/sprefill tok/sTTFTp50p95
chat-shortllama.cpp@0.7.0-dev (build 11803, commit a37cc4610)Qwen3.8-27B-ctx8kQ4_K_M44.18tok/s691.5tok/s223ms22.6ms22.8ms
chat-longllama.cpp@0.7.0-dev (build 11803, commit a37cc4610)Qwen3.8-27B-ctx8kQ4_K_M43.67tok/s2,412.3tok/s1,336ms22.9ms23.0ms
concurrent-decodellama.cpp@0.7.0-dev (build 11803, commit a37cc4610)Qwen3.8-27B-ctx8kQ4_K_M44.10tok/s——22.6ms22.8ms
agent-tracellama.cpp@0.7.0-dev (build 11803, commit a37cc4610)Qwen3.8-27B-ctx8kQ4_K_M43.37tok/s4,710.8tok/s458ms22.8ms23.1ms

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: 44.2 tok/s on RTX 4090 (24GB) (Qwen3.8-27B-ctx8k)
https://llm-speed.com/r/r_tt9io-8lu9p

Related benchmarks

Provenance

Run ID
r_tt9io-8lu9p
Fingerprint hash
Public key
S+Wz/kO9GycUVPuMNk9saMokpyAv1wh++ueHrv666oo=
Received
2026-10-22 08:10:08