Model benchmarks
qwen2.5-coder:latest local LLM performance
As of October 2026, qwen2.5-coder:latest runs at up to 18.5 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).
Model size
7.6B
Peak speed
18.5 tok/s
Average speed
18.4 tok/s
Avg PP
659.2 tok/s
Min memory
4.8 GB
Max context
32,768 tokens
Avg output / run
5,963 tokens
Avg runtime / run
5m 36s
Avg quality
36.2
Benchmark runs
3
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 3 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 | 28.1 | 36.2 | 42.3 |
| Agent Workflow | 35.7 | 44.3 | 52.4 |
| Code Generation | 31.5 | 39.0 | 46.0 |
| Role Play & Narrative | 15.4 | 32.4 | 46.8 |
| Research & Analysis | 23.2 | 29.2 | 35.2 |
Performance by hardware and tool
Every hardware/tool/quantization combination qwen2.5-coder:latest 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 Arc B390 | Ollama | Q4_K_M | 18.5 tok/s | 18.4 tok/s | 4.8 GB | 32,768 tokens | 36.2 | 3 |
Benchmark runs
All 3 qwen2.5-coder:latest runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is qwen2.5-coder:latest good for coding?
- In our benchmarks, qwen2.5-coder:latest scores 39.0/100 for coding. It runs at about 18.4 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 qwen2.5-coder:latest good for agentic (tool-using) tasks?
- In our benchmarks, qwen2.5-coder:latest scores 44.3/100 for agentic workflows. It runs at about 18.4 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 qwen2.5-coder:latest for local inference?
- Across 3 community benchmark runs, qwen2.5-coder:latest reaches up to 18.5 tok/s and averages 18.4 tok/s, with the fastest results on Intel Arc B390.
- How much memory does qwen2.5-coder:latest need?
- The leanest observed configuration used about 4.8 GB of memory (quantizations tested: Q4_K_M).
- Which tools have been used to run qwen2.5-coder:latest?
- Benchmarks were submitted using Ollama. Results are community-contributed and updated as new runs arrive.