Head to Head

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive vs Qwen/Qwen3.6-35B-A3B

Pricing, experience, and what the community actually says.

★ Our Pick

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

Starting at

0.00

Refund

N/A (Open-weight model)

Try Free →
Qwen/Qwen3.6-35B-A3B

Qwen/Qwen3.6-35B-A3B

Starting at

Free (self-hosted)

Refund

N/A (Open-source model; cloud API providers follow their own terms)

Try Free →

Our Take

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-AggressiveHauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

“Yes, for developers and researchers who require an open-weight, uncensored MoE model with extensive quantization options and strong reasoning capabilities.”

A highly capable, unrestricted variant of the Qwen3.6-35B-A3B architecture, optimized for local deployment and specialized workflows requiring unfiltered outputs.

Qwen/Qwen3.6-35B-A3BQwen/Qwen3.6-35B-A3B

“Yes, particularly for teams needing a cost-effective, self-hostable model with robust tool-calling and long-context capabilities.”

Qwen3.6-35B-A3B delivers strong agentic coding and multimodal reasoning at a fraction of the cost of frontier closed models, making it a practical choice for developers prioritizing efficiency and open licensing.

Pros & Cons

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

✓Completely removes safety refusal filters
✓Wide range of lossless GGUF quantizations for flexible hardware deployment
✓Strong coding and reasoning capabilities for its size
✓Native multimodal and long-context support
✓Free to download and self-host
✗Requires substantial VRAM for higher precision formats
✗Lacks built-in content moderation, requiring external safeguards
✗No official vendor support or SLA
✗Aggressive variant may produce unverified or harmful outputs without careful prompting

Qwen/Qwen3.6-35B-A3B

✓Highly cost-effective API pricing
✓Apache 2.0 commercial license
✓Efficient inference with 3B active parameters
✓Strong agentic coding and tool-calling performance
✓262k context window for long documents/codebases
✗Slightly lower composite intelligence scores than top-tier proprietary models
✗Requires adequate GPU VRAM for local deployment
✗Math and advanced reasoning benchmarks trail behind flagship models
✗Community support only for self-hosted setups

Full Breakdown

Category
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-AggressiveHauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
Qwen/Qwen3.6-35B-A3BQwen/Qwen3.6-35B-A3B

Overall Rating

★8.2 / 5
4.3 / 5

Starting Price

0.00
Free (self-hosted)

Learning Curve

Moderate; requires familiarity with local LLM inference tools like LM Studio, Ollama, or vLLM.
Moderate; familiar to developers using OpenAI-compatible clients, but tuning MoE routing and thinking modes requires some experimentation.

Best Suited For

Local AI deployment, uncensored content generation, agentic coding workflows, and long-context reasoning tasks.
Software developers, AI engineers, and researchers building agentic workflows, code assistants, or multimodal applications on a budget.

Support Quality

Community-driven support via Hugging Face discussions and Discord. No official enterprise SLA.
Community-driven via GitHub, Discord, and Hugging Face; enterprise support available through Alibaba Cloud.

Hidden Costs

Compute costs for local hosting (GPU hardware, electricity) or cloud inference fees if deployed via third-party providers.
Compute costs for self-hosting (GPU memory, electricity) and potential third-party API markups.

Refund Policy

N/A (Open-weight model)
N/A (Open-source model; cloud API providers follow their own terms)

Platforms

Linux, macOS, Windows, Cloud GPU Instances
Linux, macOS, Windows, Cloud APIs, Docker

Features

Watermark on Free Plan

✗ No
✗ No

Mobile App

✗ No
✗ No

API Access

✓ Yes
✓ Yes
HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive Review →Try Free →
Qwen/Qwen3.6-35B-A3B Review →Try Free →