Model benchmarks
swift-1.5-qwen3.8-flash-next-iq3_s local LLM performance
As of October 2026, swift-1.5-qwen3.8-flash-next-iq3_s runs at up to 310.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
310.6 tok/s
Average speed
259.0 tok/s
Avg PP
1573.4 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
51,600 tokens
Avg runtime / run
3m 10s
Avg quality
86.4
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 | 86.3 | 86.4 | 86.4 |
| Agent Workflow | 87.0 | 88.9 | 90.9 |
| Code Generation | 68.7 | 74.6 | 80.4 |
| Role Play & Narrative | 91.6 | 92.5 | 93.4 |
| Research & Analysis | 86.7 | 89.4 | 92.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination swift-1.5-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 | basalt | — | 310.6 tok/s | 310.6 tok/s | n/a | 65,536 tokens | 86.4 | 1 |
| NVIDIA GeForce RTX 5090 | Strata | — | 207.5 tok/s | 207.5 tok/s | n/a | 65,536 tokens | 86.3 | 1 |
Benchmark runs
All 2 swift-1.5-qwen3.8-flash-next-iq3_s runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is swift-1.5-qwen3.8-flash-next-iq3_s for local inference?
- Across 2 community benchmark runs, swift-1.5-qwen3.8-flash-next-iq3_s reaches up to 310.6 tok/s and averages 259.0 tok/s, with the fastest results on NVIDIA GeForce RTX 5090.
- Which tools have been used to run swift-1.5-qwen3.8-flash-next-iq3_s?
- Benchmarks were submitted using Strata, basalt. Results are community-contributed and updated as new runs arrive.