Head to Head

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

Pricing, experience, and what the community actually says.

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 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 →

Our Take

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.

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.

Pros & Cons

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

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

Full Breakdown

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

Overall Rating

4.3 / 5
8.2 / 5

Starting Price

Free (self-hosted)
0.00

Learning Curve

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

Best Suited For

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

Support Quality

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

Hidden Costs

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

Refund Policy

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

Platforms

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

Features

Watermark on Free Plan

✗ No
✗ No

Mobile App

✗ No
✗ No

API Access

✓ Yes
✓ Yes