How fast is gpt-oss-20b-UD-Q6_K_XL for local inference?

Across 3 community benchmark runs, gpt-oss-20b-UD-Q6_K_XL reaches up to 179.0 tok/s and averages 134.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.

How much memory does gpt-oss-20b-UD-Q6_K_XL need?

The leanest observed configuration used about 19.0 GB of memory (quantizations tested: Q6_K).

Which tools have been used to run gpt-oss-20b-UD-Q6_K_XL?

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

Model benchmarks

gpt-oss-20b-UD-Q6_K_XL local LLM performance

As of September 2026, gpt-oss-20b-UD-Q6_K_XL runs at up to 179.0 tok/s for local inference (best of 3 community benchmark runs across 1 GPU).

llama.cppQ6_K

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Model size

20B

Peak speed

179.0 tok/s

Average speed

134.3 tok/s

Avg PP

1880.1 tok/s

Min memory

19.0 GB

Max context

131,072 tokens

Avg output / run

9,798 tokens

Avg runtime / run

1m 20s

Avg quality

73.3

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 3 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	70.6	73.3	77.0
Agent Workflow	74.4	75.5	76.4
Code Generation	67.2	71.7	78.2
Role Play & Narrative	64.0	71.5	77.0
Research & Analysis	69.8	74.5	79.9

Performance by hardware and tool

Every hardware/tool/quantization combination gpt-oss-20b-UD-Q6_K_XL 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 5060	llama.cpp	Q6_K	179.0 tok/s	134.3 tok/s	19.0 GB	131,072 tokens	73.3	3

Benchmark runs

All 3 gpt-oss-20b-UD-Q6_K_XL runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.

Open run page →

Frequently asked questions

How fast is gpt-oss-20b-UD-Q6_K_XL for local inference?: Across 3 community benchmark runs, gpt-oss-20b-UD-Q6_K_XL reaches up to 179.0 tok/s and averages 134.3 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
How much memory does gpt-oss-20b-UD-Q6_K_XL need?: The leanest observed configuration used about 19.0 GB of memory (quantizations tested: Q6_K).
Which tools have been used to run gpt-oss-20b-UD-Q6_K_XL?: Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.