Head to Head

HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive vs zai-org/GLM-5.1

Pricing, experience, and what the community actually says.

★ Our Pick

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

Starting at

0.00

Refund

N/A (Open-weight model)

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zai-org/GLM-5.1

Starting at

$1.40 / 1M input tokens

Refund

Pay-as-you-go model; no refunds on consumed tokens. Unused credits may expire per provider terms.

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Our Take

HauhauCS/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.

zai-org/GLM-5.1

“Worth it for developers and enterprises needing a highly capable, commercially permissive model for software engineering and complex multi-step agents, provided latency and token costs fit the budget.”

GLM-5.1 delivers frontier-level reasoning and coding performance under an open MIT license, but its high token cost and slower inference speed make it best suited for specialized, high-value tasks rather than high-volume, low-latency applications.

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

zai-org/GLM-5.1

✓Strong multi-step reasoning and coding performance

✓Commercially permissive MIT license

✓Large 200k context window

✓Open-weight with transparent architecture

✓High benchmark scores (Intelligence Index: 51)

✗Higher token pricing compared to many open models

✗Slower inference speed (~44 t/s)

✗High verbosity increases output costs

✗Text-only input/output requires separate vision models

✗Heavy hardware requirements for self-hosting

Full Breakdown

Category

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

zai-org/GLM-5.1

Overall Rating

★8.2 / 5

4.2 / 5

Starting Price

0.00

$1.40 / 1M input tokens

Learning Curve

Moderate; requires familiarity with local LLM inference tools like LM Studio, Ollama, or vLLM.

Moderate. Requires familiarity with OpenAI-compatible SDKs, prompt engineering for reasoning modes, and token budget management due to verbosity.

Best Suited For

Local AI deployment, uncensored content generation, agentic coding workflows, and long-context reasoning tasks.

Software engineering teams, AI agent developers, and researchers requiring strong multi-step reasoning and open-weight deployment flexibility.

Support Quality

Community-driven support via Hugging Face discussions and Discord. No official enterprise SLA.

Standard developer documentation and community support via GitHub and Hugging Face. No dedicated enterprise SLA is publicly advertised for the open-weight version.

Hidden Costs

Compute costs for local hosting (GPU hardware, electricity) or cloud inference fees if deployed via third-party providers.

High verbosity can significantly increase output token consumption. Self-hosting requires substantial GPU infrastructure due to the 754B parameter size.

Refund Policy

N/A (Open-weight model)

Pay-as-you-go model; no refunds on consumed tokens. Unused credits may expire per provider terms.

Platforms

Linux, macOS, Windows, Cloud GPU Instances

Cloud API, Self-hosted (GPU), Hugging Face, ModelScope

Features

Watermark on Free Plan

✗ No

Mobile App

✗ No

API Access

✓ Yes

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

zai-org/GLM-5.1 Review →Try Free →