Is Ornith-1.5-35B-A3B-oQ4e-mtp good for coding?

In our benchmarks, Ornith-1.5-35B-A3B-oQ4e-mtp scores 79.5/100 for coding. It runs at about 87.0 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-oQ4e-mtp good for agentic (tool-using) tasks?

In our benchmarks, Ornith-1.5-35B-A3B-oQ4e-mtp scores 81.5/100 for agentic workflows. It runs at about 87.0 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-oQ4e-mtp for local inference?

Across 11 community benchmark runs, Ornith-1.5-35B-A3B-oQ4e-mtp reaches up to 126.5 tok/s and averages 87.0 tok/s, with the fastest results on Apple M5 Max.

How much memory does Ornith-1.5-35B-A3B-oQ4e-mtp need?

The leanest observed configuration used about 20.7 GB of memory (quantizations tested: oQ4e).

Which tools have been used to run Ornith-1.5-35B-A3B-oQ4e-mtp?

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

Model benchmarks

Ornith-1.5-35B-A3B-oQ4e-mtp local LLM performance

As of September 2026, Ornith-1.5-35B-A3B-oQ4e-mtp runs at up to 126.5 tok/s for local inference (best of 11 community benchmark runs across 2 GPUs).

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Model size

35B

Peak speed

126.5 tok/s

Average speed

87.0 tok/s

Avg PP

826.1 tok/s

Min memory

20.7 GB

Max context

262,144 tokens

Avg output / run

46,062 tokens

Avg runtime / run

9m 39s

Avg quality

83.8

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 11 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	80.0	83.8	86.5
Agent Workflow	68.3	81.5	91.2
Code Generation	64.6	79.5	86.1
Role Play & Narrative	85.3	89.2	91.1
Research & Analysis	82.0	85.1	88.3

Performance by hardware and tool

Every hardware/tool/quantization combination Ornith-1.5-35B-A3B-oQ4e-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	oQ4e	126.5 tok/s	126.5 tok/s	20.7 GB	262,144 tokens	82.9	1
Apple M5 Max	oMLX	—	113.4 tok/s	112.0 tok/s	20.8 GB	262,144 tokens	85.8	3
Apple M4 Pro	oMLX	oQ4e	73.1 tok/s	72.1 tok/s	22.2 GB	65,536 tokens	80.0	2
Apple M4 Pro	oMLX	—	71.9 tok/s	70.1 tok/s	20.7 GB	262,144 tokens	84.3	5

Benchmark runs

All 11 Ornith-1.5-35B-A3B-oQ4e-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-oQ4e-mtp good for coding?: In our benchmarks, Ornith-1.5-35B-A3B-oQ4e-mtp scores 79.5/100 for coding. It runs at about 87.0 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-oQ4e-mtp good for agentic (tool-using) tasks?: In our benchmarks, Ornith-1.5-35B-A3B-oQ4e-mtp scores 81.5/100 for agentic workflows. It runs at about 87.0 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-oQ4e-mtp for local inference?: Across 11 community benchmark runs, Ornith-1.5-35B-A3B-oQ4e-mtp reaches up to 126.5 tok/s and averages 87.0 tok/s, with the fastest results on Apple M5 Max.
How much memory does Ornith-1.5-35B-A3B-oQ4e-mtp need?: The leanest observed configuration used about 20.7 GB of memory (quantizations tested: oQ4e).
Which tools have been used to run Ornith-1.5-35B-A3B-oQ4e-mtp?: Benchmarks were submitted using oMLX. Results are community-contributed and updated as new runs arrive.