Model comparison
nvidia/Qwen3.6-35B-A3B-NVFP4 vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
nvidia/Qwen3.6-35B-A3B-NVFP4
Not scored
value score
StarCoder2 15B
70
value score
nvidia/Qwen3.6-35B-A3B-NVFP4 ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | nvidia/Qwen3.6-35B-A3B-NVFP4 | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Text-generation | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | A quantized inference checkpoint of Alibaba's Qwen3.6-35B-A3B mixture-of-experts language model, published by NVIDIA in its NVFP4 format for efficient deployment on NVIDIA GPUs. The checkpoint targets reduced VRAM usage and faster inference on Blackwell-era hardware while preserving the original 35B-total/3B-active architecture. | BigCode open coding model on Hugging Face. |