Is Ornith-1.5-35B-A3B-oQ8e-mtp good for coding?

In our benchmarks, Ornith-1.5-35B-A3B-oQ8e-mtp scores 77.9/100 for coding. It runs at about 96.1 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).

Is Ornith-1.5-35B-A3B-oQ8e-mtp good for agentic (tool-using) tasks?

In our benchmarks, Ornith-1.5-35B-A3B-oQ8e-mtp scores 83.8/100 for agentic workflows. It runs at about 96.1 tok/s, so if you want more speed, qwen3.8-flash-next-iq3_s is faster (~116.8 tok/s) and still scores well for agentic workflows (88.4/100).

How fast is Ornith-1.5-35B-A3B-oQ8e-mtp for local inference?

Across 8 community benchmark runs, Ornith-1.5-35B-A3B-oQ8e-mtp reaches up to 108.0 tok/s and averages 96.1 tok/s, with the fastest results on Apple M5 Max.

How much memory does Ornith-1.5-35B-A3B-oQ8e-mtp need?

The leanest observed configuration used about 36.5 GB of memory (quantizations tested: oQ8e).

Which tools have been used to run Ornith-1.5-35B-A3B-oQ8e-mtp?

Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.

Model benchmarks

Ornith-1.5-35B-A3B-oQ8e-mtp local LLM performance

As of September 2026, Ornith-1.5-35B-A3B-oQ8e-mtp runs at up to 108.0 tok/s for local inference (best of 8 community benchmark runs across 1 GPU).

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Model size

35B

Peak speed

108.0 tok/s

Average speed

96.1 tok/s

Avg PP

1417.1 tok/s

Min memory

36.5 GB

Max context

262,144 tokens

Avg output / run

40,103 tokens

Avg runtime / run

7m 34s

Avg quality

84.1

Benchmark runs

GPUs tested

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 8 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	80.8	84.1	85.6
Agent Workflow	70.0	83.8	91.0
Code Generation	74.8	77.9	82.7
Role Play & Narrative	84.6	87.8	90.5
Research & Analysis	84.5	87.1	89.6

Performance by hardware and tool

Every hardware/tool/quantization combination Ornith-1.5-35B-A3B-oQ8e-mtp 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 M5 Max	oMLX	oQ8e	108.0 tok/s	102.0 tok/s	36.7 GB	262,144 tokens	85.1	2
Apple M5 Max	oMLX	—	98.3 tok/s	94.2 tok/s	36.5 GB	262,144 tokens	83.8	6

Benchmark runs

All 8 Ornith-1.5-35B-A3B-oQ8e-mtp runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is Ornith-1.5-35B-A3B-oQ8e-mtp good for coding?: In our benchmarks, Ornith-1.5-35B-A3B-oQ8e-mtp scores 77.9/100 for coding. It runs at about 96.1 tok/s, so if you want more speed, Qwen3.6-35B-A3B-Q4_K_XL is faster (~156.9 tok/s) and still scores well for coding (82.2/100).
Is Ornith-1.5-35B-A3B-oQ8e-mtp good for agentic (tool-using) tasks?: In our benchmarks, Ornith-1.5-35B-A3B-oQ8e-mtp scores 83.8/100 for agentic workflows. It runs at about 96.1 tok/s, so if you want more speed, qwen3.8-flash-next-iq3_s is faster (~116.8 tok/s) and still scores well for agentic workflows (88.4/100).
How fast is Ornith-1.5-35B-A3B-oQ8e-mtp for local inference?: Across 8 community benchmark runs, Ornith-1.5-35B-A3B-oQ8e-mtp reaches up to 108.0 tok/s and averages 96.1 tok/s, with the fastest results on Apple M5 Max.
How much memory does Ornith-1.5-35B-A3B-oQ8e-mtp need?: The leanest observed configuration used about 36.5 GB of memory (quantizations tested: oQ8e).
Which tools have been used to run Ornith-1.5-35B-A3B-oQ8e-mtp?: Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.