Qwen3.8-27B on RTX 4090 (24GB)
MeasuredOn 2026-11-01, Qwen3.8-27B Q4_K_M ran at 41.8 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_z6--z4sihzt.
Model weights:View on Hugging Faceggml-org/Qwen3.8-27B-GGUFQwen3.8-27B-Q4_K_M.gguf
Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp@0.8.0-dev (build 12018, commit 8956c769e) | Qwen3.8-27BQ4_K_M | 41.81tok/s | 347.9tok/s | 443ms | 22.9ms | 26.7ms |
| chat-long | llama.cpp@0.8.0-dev (build 12018, commit 8956c769e) | Qwen3.8-27BQ4_K_M | 42.71tok/s | 1,673.2tok/s | 1,927ms | 23.2ms | 23.3ms |
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https://llm-speed.com/r/r_z6--z4sihztRelated benchmarks
- More Qwen3.8-27B benchmarks — every backend and rig that has run this model.
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Provenance
- Run ID
- r_z6--z4sihzt
- Fingerprint hash
- Public key
- v38TxwCjXQD3g/X69D2AaMQKvEckoXFE6gYkO9gD6AA=
- Received
- 2026-11-01 01:50:22