Model benchmarks
unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF local LLM performance
As of October 2026, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF runs at up to 23.6 tok/s for local inference (best of 4 community benchmark runs across 1 GPU).
Model size
30B
Peak speed
23.6 tok/s
Average speed
23.1 tok/s
Avg PP
354.6 tok/s
Min memory
n/a
Max context
65,535 tokens
Avg output / run
6,171 tokens
Avg runtime / run
5m 25s
Avg quality
66.0
Benchmark runs
4
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 4 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 | 64.1 | 66.0 | 68.9 |
| Agent Workflow | 63.2 | 72.1 | 79.9 |
| Code Generation | 61.9 | 66.3 | 70.4 |
| Role Play & Narrative | 72.5 | 78.5 | 82.9 |
| Research & Analysis | 33.7 | 47.4 | 60.9 |
Performance by hardware and tool
Every hardware/tool/quantization combination unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF 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 | llama.cpp | — | 23.6 tok/s | 23.1 tok/s | n/a | 65,535 tokens | 66.0 | 4 |
Benchmark runs
All 4 unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF good for coding?
- In our benchmarks, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF scores 66.3/100 for coding. It runs at about 23.1 tok/s, so if you want more speed, local-qwen is faster (~60.2 tok/s) and still scores well for coding (84.8/100).
- Is unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF good for agentic (tool-using) tasks?
- In our benchmarks, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF scores 72.1/100 for agentic workflows. It runs at about 23.1 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 unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF for local inference?
- Across 4 community benchmark runs, unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF reaches up to 23.6 tok/s and averages 23.1 tok/s, with the fastest results on Intel Arc B390.
- Which tools have been used to run unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.