Model benchmarks
openai/gpt-oss-20b local LLM performance
As of April 2026, openai/gpt-oss-20b runs at up to 111.1 tok/s for local inference (best of 9 community benchmark runs across 1 GPU).
LM Studio
Model size
20B
Peak speed
111.1 tok/s
Average speed
109.1 tok/s
Min memory
9.8 GB
Max context
256,000 tokens
Best quality
89.2
Benchmark runs
9
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination openai/gpt-oss-20b has been benchmarked on, ranked by peak token generation speed. Last updated April 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| AMD Radeon RX 7900 XTX | LM Studio | — | 111.1 tok/s | 109.1 tok/s | 9.8 GB | 256,000 tokens | 66.8 | 9 |
Frequently asked questions
- How fast is openai/gpt-oss-20b for local inference?
- Across 9 community benchmark runs, openai/gpt-oss-20b reaches up to 111.1 tok/s and averages 109.1 tok/s, with the fastest results on AMD Radeon RX 7900 XTX.
- How much memory does openai/gpt-oss-20b need?
- The leanest observed configuration used about 9.8 GB of memory.
- Which tools have been used to run openai/gpt-oss-20b?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.