Is ornith-1.5-9b good for coding?

In our benchmarks, ornith-1.5-9b scores 28.2/100 for coding. It runs at about 70.2 tok/s, so if you want more speed, ornith-ai/Ornith-1.5-35B-A3B-GGUF is faster (~90.8 tok/s) and still scores well for coding (83.8/100).

Is ornith-1.5-9b good for agentic (tool-using) tasks?

In our benchmarks, ornith-1.5-9b scores 64.0/100 for agentic workflows. It runs at about 70.2 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-1.5-9b for local inference?

Across 5 community benchmark runs, ornith-1.5-9b reaches up to 94.0 tok/s and averages 70.2 tok/s, with the fastest results on NVIDIA GeForce RTX 3080.

Which tools have been used to run ornith-1.5-9b?

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

Model benchmarks

ornith-1.5-9b local LLM performance

As of September 2026, ornith-1.5-9b runs at up to 94.0 tok/s for local inference (best of 5 community benchmark runs across 2 GPUs).

LM Studio

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Model size

Peak speed

94.0 tok/s

Average speed

70.2 tok/s

Avg PP

767.6 tok/s

Min memory

n/a

Max context

65,536 tokens

Avg output / run

79,160 tokens

Avg runtime / run

12m 28s

Avg quality

62.8

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 5 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	43.5	62.8	79.8
Agent Workflow	26.4	64.0	84.1
Code Generation	6.9	28.2	68.8
Role Play & Narrative	63.5	80.0	87.9
Research & Analysis	70.6	79.1	89.1

Performance by hardware and tool

Every hardware/tool/quantization combination ornith-1.5-9b 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 3080	LM Studio	—	94.0 tok/s	93.8 tok/s	n/a	8,192 tokens	54.3	3
AMD Radeon RX 7600 XT	LM Studio	—	41.8 tok/s	34.7 tok/s	n/a	65,536 tokens	75.5	2

Benchmark runs

All 5 ornith-1.5-9b runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

Is ornith-1.5-9b good for coding?: In our benchmarks, ornith-1.5-9b scores 28.2/100 for coding. It runs at about 70.2 tok/s, so if you want more speed, ornith-ai/Ornith-1.5-35B-A3B-GGUF is faster (~90.8 tok/s) and still scores well for coding (83.8/100).
Is ornith-1.5-9b good for agentic (tool-using) tasks?: In our benchmarks, ornith-1.5-9b scores 64.0/100 for agentic workflows. It runs at about 70.2 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-1.5-9b for local inference?: Across 5 community benchmark runs, ornith-1.5-9b reaches up to 94.0 tok/s and averages 70.2 tok/s, with the fastest results on NVIDIA GeForce RTX 3080.
Which tools have been used to run ornith-1.5-9b?: Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.