Model benchmarks
Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp local LLM performance
As of October 2026, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp runs at up to 33.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
27B
Peak speed
33.7 tok/s
Average speed
33.7 tok/s
Avg PP
291.1 tok/s
Min memory
16.0 GB
Max context
65,536 tokens
Avg output / run
78,263 tokens
Avg runtime / run
42m 28s
Avg quality
84.4
Benchmark runs
2
GPUs tested
1
Quality by task
Average LLM-judged quality (0–100) with the run-to-run spread shown as a P5–P95 band, overall and for each benchmark task, across all 2 runs. The low and high columns show how much the judge’s score varies between runs, and need at least two runs to display.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 82.8 | 84.4 | 86.0 |
| Agent Workflow | 80.0 | 83.5 | 87.0 |
| Code Generation | 61.3 | 74.8 | 88.3 |
| Role Play & Narrative | 91.9 | 93.1 | 94.3 |
| Research & Analysis | 83.6 | 86.0 | 88.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp has been benchmarked on, ranked by peak token generation speed. Last updated October 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7800 XT | llama.cpp k8 v4 -1 budget | — | 33.7 tok/s | 33.7 tok/s | 16.0 GB | 65,536 tokens | 84.4 | 2 |
Benchmark runs
All 2 Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp good for coding?
- In our benchmarks, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp scores 74.8/100 for coding. It runs at about 33.7 tok/s, so if you want more speed, K2-Horizon-MoVA-36B-A4B-MLX-4bit is faster (~48.5 tok/s) and still scores well for coding (82.5/100).
- Is Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp good for agentic (tool-using) tasks?
- In our benchmarks, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp scores 83.5/100 for agentic workflows. It runs at about 33.7 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp for local inference?
- Across 2 community benchmark runs, Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp reaches up to 33.7 tok/s and averages 33.7 tok/s, with the fastest results on AMD Radeon RX 7800 XT.
- How much memory does Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp need?
- The leanest observed configuration used about 16.0 GB of memory.
- Which tools have been used to run Qwen3.8-27B-Turbo-Brilliance-50X-RI-GSQ-RCO-IQ3_S-mtp?
- Benchmarks were submitted using llama.cpp k8 v4 -1 budget. Results are community-contributed and updated as new runs arrive.