Model benchmarks
Ornith-1.5-35B-A3B local LLM performance
As of September 2026, Ornith-1.5-35B-A3B runs at up to 71.1 tok/s for local inference (best of 2 community benchmark runs across 2 GPUs).
Model size
35B
Peak speed
71.1 tok/s
Average speed
47.3 tok/s
Avg PP
657.7 tok/s
Min memory
19.1 GB
Max context
140,000 tokens
Avg output / run
36,391 tokens
Avg runtime / run
19m 36s
Avg quality
84.8
Benchmark runs
2
GPUs tested
2
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 | 84.7 | 84.8 | 84.9 |
| Agent Workflow | 81.9 | 82.1 | 82.3 |
| Code Generation | 77.3 | 80.0 | 82.7 |
| Role Play & Narrative | 90.1 | 90.3 | 90.4 |
| Research & Analysis | 84.4 | 86.8 | 89.1 |
Performance by hardware and tool
Every hardware/tool/quantization combination Ornith-1.5-35B-A3B 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 |
|---|---|---|---|---|---|---|---|---|
| Apple M4 Pro | oMLX | — | 71.1 tok/s | 71.1 tok/s | 19.1 GB | 140,000 tokens | 84.9 | 1 |
| AMD Radeon RX 7600 XT | LM Studio | — | 23.6 tok/s | 23.6 tok/s | n/a | 32,768 tokens | 84.7 | 1 |
Benchmark runs
All 2 Ornith-1.5-35B-A3B runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- Is ornith-1.5-35b-a3b good for coding?
- In our benchmarks, ornith-1.5-35b-a3b scores 80.0/100 for coding. It runs at about 47.3 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MLX-oQ4e is faster (~107.9 tok/s) and still scores well for coding (81.5/100).
- Is ornith-1.5-35b-a3b good for agentic (tool-using) tasks?
- In our benchmarks, ornith-1.5-35b-a3b scores 82.1/100 for agentic workflows. It runs at about 47.3 tok/s, so if you want more speed, Nex-N2.5-mini-APEX-Mini is faster (~88.2 tok/s) and still scores well for agentic workflows (91.3/100).
- How fast is Ornith-1.5-35B-A3B for local inference?
- Across 2 community benchmark runs, Ornith-1.5-35B-A3B reaches up to 71.1 tok/s and averages 47.3 tok/s, with the fastest results on Apple M4 Pro.
- How much memory does Ornith-1.5-35B-A3B need?
- The leanest observed configuration used about 19.1 GB of memory.
- Which tools have been used to run Ornith-1.5-35B-A3B?
- Benchmarks were submitted using LM Studio, oMLX. Results are community-contributed and updated as new runs arrive.