- - 🆕 Uncensored fine-tune built on Google's Gemma 4 26B MoE base
- - 🧠 Mixture-of-Experts: 26B total, 4B active per token
- - 📏 256K-token context window for long conversations and documents
- - 👁️ Supports vision input, function-calling and web-search tooling
- - 🔧 Ships in int4 quantization for efficient local deployment
- - 🔒 Refusal-removal fine-tune for filter-free chat
- - 💬 Targets coding and general-purpose conversation
- - 🏢 Derived from Google's Gemma 4 family, catalog-dated April 2026
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 28 more models by Google →Gemma 4 Uncensored is a community-style derivative of Google's Google Gemma 4 26B A4B Instruct, the Mixture-of-Experts member of the Gemma 4 lineup. Per the catalog description, the 26B MoE variant activates only about 4 billion of its parameters per token, an arrangement designed to deliver fast throughput while retaining the footprint of a larger model. This build ships in int4 quantization and exposes a 256K-token context window.
Relative to earlier uncensored builds derived from Google Gemma 3 27B Instruct, the Gemma 4 foundation reflects several concrete capabilities in this catalog entry: vision input, native function-calling and web-search tooling, alongside the Mixture-of-Experts architecture and the expanded context window. The "uncensored" label reflects fine-tuning or abliteration that removes the base model's refusal behavior, targeting filter-free chat, coding and general-purpose conversation. Independent uncensored Gemma 4 26B fine-tunes are published on Hugging Face.
Google offers a companion dense variant, Google Gemma 4 31B Instruct, the larger member of the same generation. Within this catalog, a later sibling, Gemma 4 26B A4B Uncensored, appears as a subsequent variant in the same uncensored lineage. As with any refusal-removed model, long-context behavior and edge cases may be incompletely characterized.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
Daily usage · Gemma 4 Uncensored · Organic sellers
Top sellers · Gemma 4 Uncensored · Organic
- Venice.ai Proxy51.5%
- ▲ Apex Ant43.7%
- OpenCheap4.7%
- Surplus-backed seller0.1%
- surplus-hive0.0%
| Seller | Health | Rep↓ | Sales | Tokens | Routing | Input $/M | Cached $/M | Output $/M | Save |
|---|---|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | healthy | 86.84 | $0.23 | 1.52M | gated | $0.0894 | $0.0894not advertised | $0.275 | −45% |
| ▲ Apex Ant 0x73b4…e736 | healthy | 81.71 | $0.19 | 2.35M | #1 | $0.08 | $0.08 | $0.25 | −51% |
| OpenCheap 0x0ee1…6c41 | — | 12.43 | $0.02 | 349.61k | gated | $0.0889 | $0.0876 | $0.2734 | −45% |
| surplus-hive 0x6145…5c58 | — | 0.00 | — | — | gated | $0.395 | $0.395 | $1.2153 | — |
| Joi Gateway 0x8a90…7007 | — | 0.00 | — | — | gated | $0.0991 | $0.0991 | $0.305 | −39% |
| Apex TEE Test 0xe672…7955 | — | 0.00 | — | — | gated | $0.0731 | $0.0731 | $0.225 | −55% |
| antseed-neon-puma-944e 0x6650…944e | — | 0.00 | — | — | gated | $0.0554 | $0.0554not advertised | $0.1705 | −66% |
| Meridian AI 0x8c8c…06f5 | — | 0.00 | — | — | gated | $0.0349 | $0.0349not advertised | $0.1075 | −79% |
| Leftermute 0x388b…5389 | — | 0.00 | — | — | gated | $0.0328 | $0.0328not advertised | $0.101 | −80% |
"Best price" and the seller table are live Antseed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = buyer trust score (0-100, the Antseed SDK's own formula). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on Antseed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.