Head to Head

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

Pricing, experience, and what the community actually says.

zai-org/GLM-5.1

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.

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

zai-org/GLM-5.1zai-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.

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

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

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

Overall Rating

4.2 / 5
8.2 / 5

Starting Price

$1.40 / 1M input tokens
0.00

Learning Curve

Moderate. Requires familiarity with OpenAI-compatible SDKs, prompt engineering for reasoning modes, and token budget management due to verbosity.
Moderate; requires familiarity with local LLM inference tools like LM Studio, Ollama, or vLLM.

Best Suited For

Software engineering teams, AI agent developers, and researchers requiring strong multi-step reasoning and open-weight deployment flexibility.
Local AI deployment, uncensored content generation, agentic coding workflows, and long-context reasoning tasks.

Support Quality

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

Hidden Costs

High verbosity can significantly increase output token consumption. Self-hosting requires substantial GPU infrastructure due to the 754B parameter size.
Compute costs for local hosting (GPU hardware, electricity) or cloud inference fees if deployed via third-party providers.

Refund Policy

Pay-as-you-go model; no refunds on consumed tokens. Unused credits may expire per provider terms.
N/A (Open-weight model)

Platforms

Cloud API, Self-hosted (GPU), Hugging Face, ModelScope
Linux, macOS, Windows, Cloud GPU Instances

Features

Watermark on Free Plan

✗ No
✗ No

Mobile App

✗ No
✗ No

API Access

✓ Yes
✓ Yes