Model benchmarks
gpt-oss-20b-MXFP4 local LLM performance
As of September 2026, gpt-oss-20b-MXFP4 runs at up to 143.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
Model size
20B
Peak speed
143.7 tok/s
Average speed
119.7 tok/s
Avg PP
2366.1 tok/s
Min memory
15.0 GB
Max context
131,072 tokens
Avg output / run
13,424 tokens
Avg runtime / run
1m 56s
Avg quality
75.5
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.
| Task | P5 (low) | Avg | P95 (high) |
|---|---|---|---|
| Overall | 74.1 | 75.5 | 76.8 |
| Agent Workflow | 76.6 | 83.3 | 90.0 |
| Code Generation | 69.0 | 74.4 | 79.8 |
| Role Play & Narrative | 66.9 | 72.9 | 78.9 |
| Research & Analysis | 70.6 | 71.3 | 72.0 |
Performance by hardware and tool
Every hardware/tool/quantization combination gpt-oss-20b-MXFP4 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 | — | 143.7 tok/s | 119.7 tok/s | 15.0 GB | 131,072 tokens | 75.5 | 2 |
Benchmark runs
All 2 gpt-oss-20b-MXFP4 runs submitted so far — expand one for its hardware, quality breakdown and per-scenario detail.
Frequently asked questions
- How fast is gpt-oss-20b-MXFP4 for local inference?
- Across 2 community benchmark runs, gpt-oss-20b-MXFP4 reaches up to 143.7 tok/s and averages 119.7 tok/s, with the fastest results on NVIDIA GeForce RTX 5060.
- How much memory does gpt-oss-20b-MXFP4 need?
- The leanest observed configuration used about 15.0 GB of memory.
- Which tools have been used to run gpt-oss-20b-MXFP4?
- Benchmarks were submitted using llama.cpp. Results are community-contributed and updated as new runs arrive.