Head to Head

google/gemma-4-31B-it vs HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive

Pricing, experience, and what the community actually says.

google/gemma-4-31B-it

Starting at

0.00 (Self-hosted)

Refund

N/A (Open-source model)

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★ Our Pick

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

Starting at

0.00

Refund

N/A (Open-weight model)

Try Free →

Our Take

google/gemma-4-31B-it

“Yes, particularly for teams that prioritize open-weight licensing, local deployment, and transparent benchmarking over managed API convenience.”

Gemma 4 31B-it delivers strong reasoning and coding performance for its size, backed by an open Apache 2.0 license and broad ecosystem support. It is a practical choice for developers seeking a capable, locally deployable model without proprietary restrictions.

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.

Pros & Cons

google/gemma-4-31B-it

✓Strong reasoning and coding benchmarks for its parameter size

✓Permissive Apache 2.0 commercial license

✓Broad day-one support for local and cloud inference frameworks

✓Configurable thinking mode for task-specific accuracy

✓Efficient fp8 quantization reduces hardware requirements

✗Self-hosting requires significant GPU VRAM without quantization

✗No official managed API or enterprise SLA from Google

✗Reasoning mode increases token consumption and latency

✗Video input support varies by deployment environment

✗Requires technical expertise for optimal tuning and deployment

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

google/gemma-4-31B-it

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

Overall Rating

4.5 / 5

★8.2 / 5

Starting Price

0.00 (Self-hosted)

0.00

Learning Curve

Moderate. Familiarity with local LLM runners (Ollama, vLLM, LM Studio) and basic prompt engineering for reasoning modes is recommended.

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

Best Suited For

Developers, researchers, and enterprises building custom AI pipelines, local inference setups, or fine-tuning projects requiring strong reasoning and multilingual capabilities.

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

Support Quality

Community-driven support via Hugging Face, GitHub, and Discord. Google provides official documentation and developer guides but no dedicated enterprise SLA for the open-weight release.

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

Hidden Costs

GPU/TPU infrastructure, electricity, and potential engineering time for deployment and optimization.

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)

N/A (Open-weight model)

Platforms

Linux, macOS, Windows (via WSL/containers), Cloud (GCP, AWS, Azure), On-premise servers

Linux, macOS, Windows, Cloud GPU Instances

Features

Watermark on Free Plan

✗ No

Mobile App

✗ No

API Access

✓ Yes

google/gemma-4-31B-it Review →Try Free →

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