Qwen3.8-27B on RTX 4090 (24GB)
MeasuredOn 2026-10-31, Qwen3.8-27B Q4_K_M ran at 43.1 tok/s (chat-short) on an RTX 4090 (24GB) with llama.cpp. Run r_do9h933nvme.
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 12017, commit 5047748f1) | Qwen3.8-27BQ4_K_M | 43.11tok/s | 440.4tok/s | 350ms | 22.9ms | 23.1ms |
| chat-long | llama.cpp@0.8.0-dev (build 12017, commit 5047748f1) | Qwen3.8-27BQ4_K_M | 42.46tok/s | 2,020.2tok/s | 1,596ms | 23.2ms | 23.6ms |
| concurrent-decode | llama.cpp@0.8.0-dev (build 12017, commit 5047748f1) | Qwen3.8-27BQ4_K_M | 43.49tok/s | — | — | 22.9ms | 23.1ms |
| agent-trace | llama.cpp@0.8.0-dev (build 12017, commit 5047748f1) | Qwen3.8-27BQ4_K_M | 42.46tok/s | 4,009.7tok/s | 568ms | 23.0ms | 23.3ms |
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https://llm-speed.com/r/r_do9h933nvmeRelated benchmarks
- More Qwen3.8-27B benchmarks — every backend and rig that has run this model.
- More RTX 4090 (24GB) LLM benchmarks — every model measured on this hardware.
Provenance
- Run ID
- r_do9h933nvme
- Fingerprint hash
- Public key
- gaZrLBACFJRWH0wVDjkXayQlZAMQlLKb6EMuQ2MEzKA=
- Received
- 2026-10-31 03:29:32