Model benchmarks
qwen3.8-flash-next-iq3_s local LLM performance
As of October 2026, qwen3.8-flash-next-iq3_s runs at up to 121.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
121.7 tok/s
Average speed
116.8 tok/s
Avg PP
854.0 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
52,897 tokens
Avg runtime / run
7m 32s
Avg quality
82.2
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 | 80.2 | 82.2 | 84.3 |
| Agent Workflow | 84.3 | 88.4 | 92.4 |
| Code Generation | 50.3 | 62.0 | 73.7 |
| Role Play & Narrative | 90.9 | 92.9 | 94.9 |
| Research & Analysis | 82.9 | 85.6 | 88.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-iq3_s 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 | llama.cpp | — | 121.7 tok/s | 116.8 tok/s | n/a | 262,144 tokens | 82.2 | 2 |
Benchmark runs
All 2 qwen3.8-flash-next-iq3_s runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-iq3_s good for coding?
- In our benchmarks, qwen3.8-flash-next-iq3_s scores 62.0/100 for coding. It runs at about 116.8 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
- Is qwen3.8-flash-next-iq3_s good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-iq3_s scores 88.4/100 for agentic workflows. It runs at about 116.8 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-Q4_K_S is faster (~162.4 tok/s) and still scores well for agentic workflows (87.8/100).
- How fast is qwen3.8-flash-next-iq3_s for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-iq3_s reaches up to 121.7 tok/s and averages 116.8 tok/s, with the fastest results on NVIDIA GeForce RTX 5090.
- Which tools have been used to run qwen3.8-flash-next-iq3_s?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.