Model benchmarks
qwen3.8-flash-next-gyro-s-abliterated local LLM performance
As of October 2026, qwen3.8-flash-next-gyro-s-abliterated runs at up to 79.6 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
79.6 tok/s
Average speed
77.3 tok/s
Avg PP
751.7 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
26,372 tokens
Avg runtime / run
5m 53s
Avg quality
74.4
Benchmark runs
4
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 4 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 | 62.4 | 74.4 | 82.7 |
| Agent Workflow | 58.3 | 71.8 | 86.1 |
| Code Generation | 32.9 | 60.5 | 76.3 |
| Role Play & Narrative | 80.8 | 87.3 | 94.0 |
| Research & Analysis | 73.1 | 78.2 | 82.3 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-gyro-s-abliterated 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 AI PRO R9700 | Strata | — | 79.6 tok/s | 77.3 tok/s | n/a | 65,536 tokens | 74.4 | 4 |
Benchmark runs
All 4 qwen3.8-flash-next-gyro-s-abliterated runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-gyro-s-abliterated good for coding?
- In our benchmarks, qwen3.8-flash-next-gyro-s-abliterated scores 60.5/100 for coding. It runs at about 77.3 tok/s, so if you want more speed, ornith-ai/Ornith-1.5-35B-A3B-GGUF is faster (~90.8 tok/s) and still scores well for coding (83.8/100).
- Is qwen3.8-flash-next-gyro-s-abliterated good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-gyro-s-abliterated scores 71.8/100 for agentic workflows. It runs at about 77.3 tok/s, so if you want more speed, Ornith-1.5-35B-A3B-BigBang-oQ8e-mtp is faster (~102.7 tok/s) and still scores well for agentic workflows (91.1/100).
- How fast is qwen3.8-flash-next-gyro-s-abliterated for local inference?
- Across 4 community benchmark runs, qwen3.8-flash-next-gyro-s-abliterated reaches up to 79.6 tok/s and averages 77.3 tok/s, with the fastest results on AMD Radeon AI PRO R9700.
- Which tools have been used to run qwen3.8-flash-next-gyro-s-abliterated?
- Benchmarks were submitted using Strata. Results are community-contributed and updated as new runs arrive.