Model benchmarks
qwen3.8-flash-next-iq2_xs local LLM performance
As of October 2026, qwen3.8-flash-next-iq2_xs runs at up to 114.6 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
Unknown
Peak speed
114.6 tok/s
Average speed
80.1 tok/s
Avg PP
409.3 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
108,992 tokens
Avg runtime / run
54m 7s
Avg quality
66.7
Benchmark runs
2
GPUs tested
2
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 | 49.6 | 66.7 | 83.8 |
| Agent Workflow | 23.9 | 54.9 | 86.0 |
| Code Generation | 3.7 | 37.2 | 70.7 |
| Role Play & Narrative | 87.1 | 87.9 | 88.7 |
| Research & Analysis | 83.8 | 86.9 | 90.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-iq2_xs 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 3090 | Strata | — | 114.6 tok/s | 114.6 tok/s | n/a | 65,536 tokens | 47.7 | 1 |
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 45.7 tok/s | 45.7 tok/s | n/a | 262,144 tokens | 85.7 | 1 |
Benchmark runs
All 2 qwen3.8-flash-next-iq2_xs runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-iq2_xs good for coding?
- In our benchmarks, qwen3.8-flash-next-iq2_xs scores 37.2/100 for coding. It runs at about 80.1 tok/s, so if you want more speed, unsloth/Qwen3.8-27B-GGUF:IQ3_S is faster (~104.3 tok/s) and still scores well for coding (83.0/100).
- Is qwen3.8-flash-next-iq2_xs good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-iq2_xs scores 54.9/100 for agentic workflows. It runs at about 80.1 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-iq2_xs for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-iq2_xs reaches up to 114.6 tok/s and averages 80.1 tok/s, with the fastest results on NVIDIA GeForce RTX 3090.
- Which tools have been used to run qwen3.8-flash-next-iq2_xs?
- Benchmarks were submitted using Strata, llama.cpp. Results are community-contributed and updated as new runs arrive.