Model benchmarks
Qwen3.5:4B/MTP@262K local LLM performance
As of August 2026, Qwen3.5:4B/MTP@262K runs at up to 362.6 tok/s for local inference (best of 2 community benchmark runs across 0 GPUs).
Model size
4B
Peak speed
362.6 tok/s
Average speed
280.9 tok/s
Min memory
n/a
Max context
16,384 tokens
Avg runtime / run
2m 9s
Avg quality
31.7
Benchmark runs
2
GPUs tested
0
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 | 23.4 | 31.7 | 40.0 |
| Agent Workflow | 16.6 | 22.1 | 27.6 |
| Code Generation | 46.3 | 48.6 | 50.9 |
| Role Play & Narrative | 15.0 | 32.4 | 49.8 |
| Research & Analysis | 4.6 | 23.7 | 42.7 |
Performance by hardware and tool
Every hardware/tool/quantization combination Qwen3.5:4B/MTP@262K has been benchmarked on, ranked by peak token generation speed. Last updated August 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| CPU only | LM Studio | — | 362.6 tok/s | 280.9 tok/s | n/a | 16,384 tokens | 31.7 | 2 |
Benchmark runs
All 2 Qwen3.5:4B/MTP@262K runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is Qwen3.5:4B/MTP@262K for local inference?
- Across 2 community benchmark runs, Qwen3.5:4B/MTP@262K reaches up to 362.6 tok/s and averages 280.9 tok/s.
- Which tools have been used to run Qwen3.5:4B/MTP@262K?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.