Cogito V1 Preview Qwen 32B vs Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated

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

Cogito V1 Preview Qwen 32B

deepcogito · 32B

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Specifications

Cogito V1 Preview Qwen 32BHuihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated
Parameters32B36.0B
Context131K262K
ArchitectureQwen2ForCausalLMQwen3_5MoeForConditionalGeneration
LicenseApache 2.0Apache 2.0
Downloads43.2K16.2K
ReleasedApr 2025Apr 2026

VRAM by Quantization: Cogito V1 Preview Qwen 32B vs Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated

QuantizationBitsCogito V1 Preview Qwen 32B VRAMHuihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated VRAM
Q2_K3.4014.4 GB
Q3_K_M3.9016.4 GB
Q3_K_S3.5014.8 GB
Q4_04.0016.8 GB
Q4_K_M4.8020.0 GB21.9 GB
Q5_K_M5.7023.6 GB
Q6_K6.6027.2 GB
Q8_08.0032.8 GB

Verdict

Cogito V1 Preview Qwen 32B needs less VRAM at Q4_K_M (20.0 GB vs 21.9 GB), so it fits on smaller GPUs. Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated supports a longer context window (262K tokens). Cogito V1 Preview Qwen 32B is the more widely downloaded of the two.

Frequently Asked Questions

Which needs less VRAM, Cogito V1 Preview Qwen 32B or Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated?

At Q4_K_M, Cogito V1 Preview Qwen 32B needs 20.0 GB and Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated needs 21.9 GB, so Cogito V1 Preview Qwen 32B is the lighter option to run locally.

Which has a longer context window, Cogito V1 Preview Qwen 32B or Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated?

Cogito V1 Preview Qwen 32B supports 131,072 tokens and Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated supports 262,144 tokens.

What is the difference between Cogito V1 Preview Qwen 32B and Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated?

Cogito V1 Preview Qwen 32B is a 32B model from deepcogito (Qwen family), while Huihui Qwen3.6 35B A3B Claude 4.7 Opus Abliterated is a 36.0B model from huihui-ai (Qwen family). Compare their VRAM requirements above to see which fits your GPU or Mac.