Qwen3.8-27B-ctx8k on RTX 3090 (24GB)
MeasuredOn 2026-10-22, Qwen3.8-27B-ctx8k Q4_K_M ran at 38.8 tok/s (chat-short) on an RTX 3090 (24GB) with llama.cpp. Run r_w40_vv7f77w.
Workload results
| Workload | Backend | Model | decode tok/s | prefill tok/s | TTFT | p50 | p95 |
|---|---|---|---|---|---|---|---|
| chat-short | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Qwen3.8-27B-ctx8kQ4_K_M | 38.83tok/s | 479.1tok/s | 321ms | 25.6ms | 26.0ms |
| chat-long | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Qwen3.8-27B-ctx8kQ4_K_M | 38.35tok/s | 1,237.5tok/s | 2,605ms | 26.0ms | 26.4ms |
| concurrent-decode | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Qwen3.8-27B-ctx8kQ4_K_M | 38.54tok/s | — | — | 25.8ms | 26.4ms |
| agent-trace | llama.cpp@0.7.0-dev (build 11803, commit a37cc4610) | Qwen3.8-27B-ctx8kQ4_K_M | 37.88tok/s | 2,399.7tok/s | 865ms | 26.0ms | 26.7ms |
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https://llm-speed.com/r/r_w40_vv7f77wRelated benchmarks
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Provenance
- Run ID
- r_w40_vv7f77w
- Fingerprint hash
- Public key
- l7zfaU8htMiuJb7pI6w1f6eJCidZ43YrpE+NZhNNsC8=
- Received
- 2026-10-22 04:29:45