Qwen3 Code Reasoning 4B vs CyberSecQwen 4B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Qwen3 Code Reasoning 4B | CyberSecQwen 4B | |
|---|---|---|
| Parameters | 4B | 4.0B |
| Context | 262K | 262K |
| Architecture | Qwen3ForCausalLM | Qwen3ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 284 | 1.2K |
| Released | Aug 2025 | May 2026 |
VRAM by Quantization: Qwen3 Code Reasoning 4B vs CyberSecQwen 4B
| Quantization | Bits | Qwen3 Code Reasoning 4B VRAM | CyberSecQwen 4B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 8.5 GB | 8.5 GB |
Verdict
Qwen3 Code Reasoning 4B needs less VRAM at BF16 (8.5 GB vs 8.5 GB), so it fits on smaller GPUs. CyberSecQwen 4B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Qwen3 Code Reasoning 4B or CyberSecQwen 4B?
At BF16, Qwen3 Code Reasoning 4B needs 8.5 GB and CyberSecQwen 4B needs 8.5 GB, so Qwen3 Code Reasoning 4B is the lighter option to run locally.
- Which has a longer context window, Qwen3 Code Reasoning 4B or CyberSecQwen 4B?
Qwen3 Code Reasoning 4B supports 262,144 tokens and CyberSecQwen 4B supports 262,144 tokens.
- What is the difference between Qwen3 Code Reasoning 4B and CyberSecQwen 4B?
Qwen3 Code Reasoning 4B is a 4B model from GetSoloTech (Qwen family), while CyberSecQwen 4B is a 4.0B model from lablab-ai-amd-developer-hackathon (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.