Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled vs CyberSecQwen 4B

Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.

CyberSecQwen 4B

lablab-ai-amd-developer-hackathon · 4.0B

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Specifications

Qwen3.5 27B Claude 4.6 Opus Reasoning DistilledCyberSecQwen 4B
Parameters27.8B4.0B
Context262K262K
ArchitectureQwen3_5ForConditionalGenerationQwen3ForCausalLM
LicenseApache 2.0Apache 2.0
Downloads61.6K1.2K
ReleasedMar 2026May 2026

VRAM by Quantization: Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled vs CyberSecQwen 4B

QuantizationBitsQwen3.5 27B Claude 4.6 Opus Reasoning Distilled VRAMCyberSecQwen 4B VRAM
Q2_K3.4012.6 GB
Q3_K_M3.9014.3 GB
Q3_K_S3.5012.9 GB
Q4_04.0014.6 GB
Q4_K_M4.8017.4 GB
Q5_K_M5.7020.5 GB
Q6_K6.6023.7 GB
Q8_08.0028.5 GB

Verdict

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled or CyberSecQwen 4B?

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled supports 262,144 tokens and CyberSecQwen 4B supports 262,144 tokens.

What is the difference between Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled and CyberSecQwen 4B?

Qwen3.5 27B Claude 4.6 Opus Reasoning Distilled is a 27.8B model from Jackrong (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.