Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled vs Qwen1.5 MoE A2.7B Chat

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

Qwen1.5 MoE A2.7B Chat

Alibaba · 2.7B

Chat

Specifications

Qwen3.5 2B Claude 4.6 Opus Reasoning DistilledQwen1.5 MoE A2.7B Chat
Parameters2.3B2.7B
Context262K33K
ArchitectureQwen3_5ForConditionalGenerationQwen2MoeForCausalLM
LicenseApache 2.0Other
Downloads2.8K30.4K
ReleasedMar 2026Apr 2024

VRAM by Quantization: Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled vs Qwen1.5 MoE A2.7B Chat

QuantizationBitsQwen3.5 2B Claude 4.6 Opus Reasoning Distilled VRAMQwen1.5 MoE A2.7B Chat VRAM
Q2_K3.401.4 GB
Q3_K_M3.901.5 GB
Q3_K_S3.501.4 GB
Q4_K_M4.801.8 GB
Q5_K_M5.702.0 GB
Q6_K6.602.3 GB
Q8_08.002.7 GB

Verdict

Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled supports a longer context window (262K tokens). Qwen1.5 MoE A2.7B Chat is the more widely downloaded of the two.

Frequently Asked Questions

Which has a longer context window, Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled or Qwen1.5 MoE A2.7B Chat?

Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled supports 262,144 tokens and Qwen1.5 MoE A2.7B Chat supports 32,768 tokens.

What is the difference between Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled and Qwen1.5 MoE A2.7B Chat?

Qwen3.5 2B Claude 4.6 Opus Reasoning Distilled is a 2.3B model from Jackrong (Qwen family), while Qwen1.5 MoE A2.7B Chat is a 2.7B model from Alibaba (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.