Model benchmarks
prism-ml/bonsai-27b local LLM performance
As of September 2026, prism-ml/bonsai-27b runs at up to 83.7 tok/s for local inference (best of 4 community benchmark runs across 3 GPUs).
Model size
27B
Peak speed
83.7 tok/s
Average speed
37.8 tok/s
Avg PP
372.7 tok/s
Min memory
n/a
Max context
65,536 tokens
Avg output / run
21,307 tokens
Avg runtime / run
14m 18s
Avg quality
72.9
Benchmark runs
4
GPUs tested
3
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 | 67.4 | 72.9 | 80.0 |
| Agent Workflow | 67.0 | 78.1 | 89.5 |
| Code Generation | 49.2 | 59.2 | 70.7 |
| Role Play & Narrative | 76.2 | 81.1 | 90.5 |
| Research & Analysis | 69.4 | 73.1 | 76.4 |
Performance by hardware and tool
Every hardware/tool/quantization combination prism-ml/bonsai-27b has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 4070 Ti SUPER | LM Studio | — | 83.7 tok/s | 83.7 tok/s | n/a | 16,384 tokens | 67.0 | 1 |
| Apple M5 Max | LM Studio | — | 31.2 tok/s | 31.2 tok/s | n/a | 65,536 tokens | 69.8 | 1 |
| CPU only | LM Studio | — | 22.2 tok/s | 22.2 tok/s | n/a | 65,536 tokens | 73.7 | 1 |
| Apple M5 | LM Studio | — | 14.3 tok/s | 14.3 tok/s | n/a | 8,192 tokens | 81.1 | 1 |
Benchmark runs
All 4 prism-ml/bonsai-27b runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is prism-ml/bonsai-27b good for coding?
- In our benchmarks, prism-ml/bonsai-27b scores 59.2/100 for coding. It runs at about 37.8 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 prism-ml/bonsai-27b good for agentic (tool-using) tasks?
- In our benchmarks, prism-ml/bonsai-27b scores 78.1/100 for agentic workflows. It runs at about 37.8 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 prism-ml/bonsai-27b for local inference?
- Across 4 community benchmark runs, prism-ml/bonsai-27b reaches up to 83.7 tok/s and averages 37.8 tok/s, with the fastest results on NVIDIA GeForce RTX 4070 Ti SUPER.
- Which tools have been used to run prism-ml/bonsai-27b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.