- 🆕 Uncensored fine-tune of Google's Gemma 4 26B MoE model
- 🧠 Mixture-of-Experts: 26B total, only ~4B active per token
- 📏 256K-token context window for long documents and code
- 👁️ Adds vision, function-calling, and web-search capabilities
- 🔓 Refusal behavior removed for unfiltered chat
- ⚡ MoE design targets fast tokens-per-second versus dense models
- 🔧 Int4 quantization for efficient local deployment
- 📚 Released April 2026 under the Gemma license
Google is an American multinational technology corporation and one of the world's most valuable brands. A subsidiary of parent company Alphabet Inc., Google operates across search, cloud computing, consumer electronics, and artificial intelligence. Its DeepMind and Google…
Explore 11 more models by Google →Gemma 4 Uncensored is a community-style derivative built on Google's [[sibling:google-gemma-4-26b-a4b-it|Google Gemma 4 26B A4B Instruct]], the Mixture-of-Experts member of the Gemma 4 family. Per the catalog, this 26B MoE holds 26B total parameters but activates only about 4B per token, an arrangement intended to deliver faster tokens-per-second than a dense model of comparable total size. It supports a 256K-token context window and ships here in an int4 quantization for efficient local deployment.
The "uncensored" label refers to fine-tuning that removes the safety refusals Google trains into the official release, producing a behavior variant rather than a new Google base model. The published Hugging Face model card for this lineage describes abliteration-style techniques applied to the instruct weights to suppress refusals. As with any such variant, the trade-off is reduced built-in content filtering and associated compliance considerations.
Relative to the prior generation's uncensored builds derived from [[sibling:google-gemma-3-27b-it|Google Gemma 3 27B Instruct]], the Gemma 4 foundation adds several concrete capabilities reflected in this catalog entry: vision input, native function-calling, and web-search tooling, alongside the Mixture-of-Experts design and the expanded 256K context window.
This page lists Gemma 4 Uncensored as released in April 2026. A later sibling, [[sibling:e2ee-gemma-4-26b-a4b-uncensored-p|Gemma 4 26B A4B Uncensored]], appears as a subsequent variant in the same lineage.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 88 | $0.0813 | $0.0813 | $0.25 | chat,vision,multimodal,web-search,uncensored | openai-chat-completions |
| surplusintelligence.ai 0x0e49…8927 | 79 | $0.1625 | $0.1625 | $0.50 | anon,chat,multimodal,uncensored,vision,web-search,translate | openai-chat-completions |
| ▲ Apex Ant 0x73b4…e736 | 40 | $0.0014 | $0.0003 | $0.0045 | chat,open-source,uncensored,vision,multimodal,roleplay,privacy | openai-chat-completions |
| Leftermute 0x388b…5389 | 26 | $0.0328 | $0.0328 | $0.101 | chat,coding,json | openai-chat-completions |
| Meridian AI 0x8c8c…06f5 | 2 | $0.0351 | $0.0351 | $0.108 | chat | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens, not settled amounts). Reputation = on-chain trust (0-100). Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase.