Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated vs Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated | Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled | |
|---|---|---|
| Parameters | 36.0B | 36.0B |
| Context | 262K | 262K |
| Architecture | Qwen3_5MoeForConditionalGeneration | Qwen3_5MoeForConditionalGeneration |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 16.2K | 2.5K |
| Released | Apr 2026 | Mar 2026 |
VRAM by Quantization: Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated vs Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled
| Quantization | Bits | Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated VRAM | Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled VRAM |
|---|---|---|---|
| Q4_K_M | 4.80 | 21.9 GB | 21.9 GB |
Verdict
Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated or Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled?
At Q4_K_M, Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated needs 21.9 GB and Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled needs 21.9 GB, so Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated is the lighter option to run locally.
- Which has a longer context window, Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated or Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled?
Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated supports 262,144 tokens and Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled supports 262,144 tokens.
- What is the difference between Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated and Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled?
Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated is a 36.0B model from huihui-ai (Qwen family), while Qwen3.5 35B A3B Claude 4.6 Opus Reasoning Distilled is a 36.0B model from Jackrong (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.