Model benchmarks

Ornith-1.5-35B-A3B-MLX-4bit local LLM performance

As of September 2026, Ornith-1.5-35B-A3B-MLX-4bit runs at up to 84.6 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).

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Model size

35B

Peak speed

84.6 tok/s

Average speed

83.1 tok/s

Avg PP

700.2 tok/s

Min memory

18.8 GB

Max context

131,072 tokens

Avg output / run

42,293 tokens

Avg runtime / run

9m 12s

Avg quality

79.3

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.

TaskP5 (low)AvgP95 (high)
Overall75.479.383.2
Agent Workflow81.682.483.1
Code Generation65.073.481.7
Role Play & Narrative70.677.183.6
Research & Analysis83.084.485.9

Performance by hardware and tool

Every hardware/tool/quantization combination Ornith-1.5-35B-A3B-MLX-4bit has been benchmarked on, ranked by peak token generation speed. Last updated September 2026.

HardwareToolQuantBest tok/sAvg tok/sMemoryContextQualityRuns
Apple M4 ProoMLX—84.6 tok/s84.6 tok/s18.8 GB65,536 tokens75.01
Apple M4 ProoMLX4bit81.6 tok/s81.6 tok/s20.5 GB131,072 tokens83.61

Benchmark runs

All 2 Ornith-1.5-35B-A3B-MLX-4bit runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Frequently asked questions

Is Ornith-1.5-35B-A3B-MLX-4bit good for coding?
In our benchmarks, Ornith-1.5-35B-A3B-MLX-4bit scores 73.4/100 for coding. It runs at about 83.1 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-MLX-4bit good for agentic (tool-using) tasks?
In our benchmarks, Ornith-1.5-35B-A3B-MLX-4bit scores 82.4/100 for agentic workflows. It runs at about 83.1 tok/s, so if you want more speed, Tiel-Coder-35B-A3B-MTP-UD-IQ3_XXS is faster (~99.0 tok/s) and still scores well for agentic workflows (88.7/100).
How fast is Ornith-1.5-35B-A3B-MLX-4bit for local inference?
Across 2 community benchmark runs, Ornith-1.5-35B-A3B-MLX-4bit reaches up to 84.6 tok/s and averages 83.1 tok/s, with the fastest results on Apple M4 Pro.
How much memory does Ornith-1.5-35B-A3B-MLX-4bit need?
The leanest observed configuration used about 18.8 GB of memory (quantizations tested: 4bit).
Which tools have been used to run Ornith-1.5-35B-A3B-MLX-4bit?
Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.