Model benchmarks
qwen3.5-9b-sushi-coder-rl local LLM performance
As of May 2026, qwen3.5-9b-sushi-coder-rl runs at up to 35.7 tok/s for local inference (best of 2 community benchmark runs across 1 GPU).
LM Studio
Model size
7B
Peak speed
35.7 tok/s
Average speed
34.4 tok/s
Min memory
3.4 GB
Max context
8,192 tokens
Best quality
69.0
Benchmark runs
2
GPUs tested
1
Performance by hardware and tool
Every hardware/tool/quantization combination qwen3.5-9b-sushi-coder-rl has been benchmarked on, ranked by peak token generation speed. Last updated May 2026.
| Hardware | Tool | Quant | Best tok/s | Avg tok/s | Memory | Context | Quality | Runs |
|---|---|---|---|---|---|---|---|---|
| NVIDIA GeForce RTX 3060 Ti | LM Studio | — | 35.7 tok/s | 34.4 tok/s | 3.4 GB | 8,192 tokens | 49.8 | 2 |
Frequently asked questions
- How fast is qwen3.5-9b-sushi-coder-rl for local inference?
- Across 2 community benchmark runs, qwen3.5-9b-sushi-coder-rl reaches up to 35.7 tok/s and averages 34.4 tok/s, with the fastest results on NVIDIA GeForce RTX 3060 Ti.
- How much memory does qwen3.5-9b-sushi-coder-rl need?
- The leanest observed configuration used about 3.4 GB of memory.
- Which tools have been used to run qwen3.5-9b-sushi-coder-rl?
- Benchmarks were submitted using LM Studio. Results are community-contributed and updated as new runs arrive.