Model benchmarks
phi3.5mini local LLM performance
As of October 2026, phi3.5mini runs at up to 25.3 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
Unknown
Peak speed
25.3 tok/s
Average speed
19.7 tok/s
Avg PP
473.9 tok/s
Min memory
3.3 GB
Max context
65,536 tokens
Avg output / run
1,706 tokens
Avg runtime / run
2m 21s
Avg quality
8.8
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 | 0.9 | 8.8 | 16.6 |
| Agent Workflow | 1.1 | 11.0 | 20.9 |
| Code Generation | 0.1 | 0.8 | 1.4 |
| Role Play & Narrative | 1.7 | 17.0 | 32.2 |
| Research & Analysis | 0.6 | 6.3 | 12.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination phi3.5mini 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 |
|---|---|---|---|---|---|---|---|---|
| Intel(R) Arc(TM) 140V GPU (16GB) | ovms | — | 25.3 tok/s | 19.7 tok/s | 3.3 GB | 65,536 tokens | 8.8 | 2 |
Benchmark runs
All 2 phi3.5mini runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is phi3.5mini good for coding?
- In our benchmarks, phi3.5mini scores 0.8/100 for coding. It runs at about 19.7 tok/s, so if you want more speed, Qwen3.8-27B-oQ4e-fp16-mtp is faster (~38.6 tok/s) and still scores well for coding (82.6/100).
- Is phi3.5mini good for agentic (tool-using) tasks?
- In our benchmarks, phi3.5mini scores 11.0/100 for agentic workflows. It runs at about 19.7 tok/s, so if you want more speed, muse-glimmer:latest is faster (~33.3 tok/s) and still scores well for agentic workflows (91.6/100).
- How fast is phi3.5mini for local inference?
- Across 2 community benchmark runs, phi3.5mini reaches up to 25.3 tok/s and averages 19.7 tok/s, with the fastest results on Intel(R) Arc(TM) 140V GPU (16GB).
- How much memory does phi3.5mini need?
- The leanest observed configuration used about 3.3 GB of memory.
- Which tools have been used to run phi3.5mini?
- Benchmarks were submitted using ovms. Results are community-contributed and updated as new runs arrive.