Model benchmarks
qwen3.8-flash-next-coder-iq1_m local LLM performance
As of October 2026, qwen3.8-flash-next-coder-iq1_m runs at up to 65.6 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
Unknown
Peak speed
65.6 tok/s
Average speed
54.5 tok/s
Avg PP
355.9 tok/s
Min memory
n/a
Max context
262,144 tokens
Avg output / run
62,858 tokens
Avg runtime / run
20m 1s
Avg quality
78.1
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 | 72.8 | 78.1 | 83.4 |
| Agent Workflow | 82.1 | 82.4 | 82.8 |
| Code Generation | 35.7 | 56.2 | 76.6 |
| Role Play & Narrative | 89.4 | 90.5 | 91.5 |
| Research & Analysis | 82.9 | 83.5 | 84.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.8-flash-next-coder-iq1_m 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 7900 XTX | llama.cpp | — | 65.6 tok/s | 65.6 tok/s | n/a | 65,536 tokens | 72.2 | 1 |
| AMD Radeon RX 9070/9070 XT/9070 GRE | llama.cpp | — | 43.3 tok/s | 43.3 tok/s | n/a | 262,144 tokens | 84.0 | 1 |
Benchmark runs
All 2 qwen3.8-flash-next-coder-iq1_m runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen3.8-flash-next-coder-iq1_m good for coding?
- In our benchmarks, qwen3.8-flash-next-coder-iq1_m scores 56.2/100 for coding. It runs at about 54.5 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-coder-iq1_m good for agentic (tool-using) tasks?
- In our benchmarks, qwen3.8-flash-next-coder-iq1_m scores 82.4/100 for agentic workflows. It runs at about 54.5 tok/s, so if you want more speed, granite-4.2-8b-Q4_K_L is faster (~71.6 tok/s) and still scores well for agentic workflows (92.9/100).
- How fast is qwen3.8-flash-next-coder-iq1_m for local inference?
- Across 2 community benchmark runs, qwen3.8-flash-next-coder-iq1_m reaches up to 65.6 tok/s and averages 54.5 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- Which tools have been used to run qwen3.8-flash-next-coder-iq1_m?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.