Model benchmarks
qwen3.8-flash-next-q2_0 local LLM performance
As of October 2026, qwen3.8-flash-next-q2_0 runs at up to 228.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
228.6 tok/s
Average speed
227.6 tok/s
Avg PP
1144.7 tok/s
Min memory
100.1 GB
Max context
131,072 tokens
Avg output / run
51,224 tokens
Avg runtime / run
3m 47s
Avg quality
77.2
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 | 71.7 | 77.2 | 82.7 |
| Agent Workflow | 81.6 | 84.4 | 87.1 |
| Code Generation | 36.2 | 55.6 | 75.0 |
| Role Play & Narrative | 90.9 | 91.3 | 91.7 |
| Research & Analysis | 71.7 | 77.6 | 83.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-q2_0 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 |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 5090 | Strata | Q2_0 | 228.6 tok/s | 227.6 tok/s | 100.1 GB | 131,072 tokens | 77.2 | 2 |
Benchmark runs
All 2 qwen3.8-flash-next-q2_0 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-q2_0 good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-q2_0 scores 84.4/100 for agentic workflows. It runs at about 227.6 tok/s, so if you want more speed, swift-1.5-qwen3.8-27b-uncensored is faster (~284.1 tok/s) and still scores well for agentic workflows (82.3/100).
- How fast is qwen3.8-flash-next-q2_0 for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-q2_0 reaches up to 228.6 tok/s and averages 227.6 tok/s, with the fastest results on NVIDIA GeForce RTX 5090.
- How much memory does qwen3.8-flash-next-q2_0 need?
- The leanest observed configuration used about 100.1 GB of memory (quantizations tested: Q2_0).
- Which tools have been used to run qwen3.8-flash-next-q2_0?
- Benchmarks were submitted using Strata. Results are community-contributed and updated as new runs arrive.