Shannon 3.1
The launch release: Shannon 3.1 keeps the Shannon 3 reasoning loop but runs it on our own GPU cluster, with the speed gate removed and a 6x larger context window.
Read articleResearch Hub
Shannon Research, Model Cards, and Policy Updates
Explore every article we ship alongside the product: model cards for transparency, technical build notes, and the policies that keep Shannon safe for red-team research.
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Research articles
Shannon 3 Uncensored AI Model
An iterative reasoning loop on our own GPU cluster: think, draft, review, rewrite. Lite runs one pass. Pro runs up to ten and harvests the facts it knows it is missing.
Read articleUncensored AI Image Generator
An uncensored AI image generator that writes the prompt for you, shows it to you on a confirmation card, and renders nothing until you say go. Five aspect ratios. No video.
Read articleUncensored AI Image Editor
Instruction-based editing of one image: state what changes and what stays. Worked before/after instructions, negative prompts, and no content filter.
Read articleAI Outfit Transfer Uncensored
The technical spine of multi-image composition on Shannon: name each image's role, in order. Outfit transfer, object-in-scene, product-on-person, person beside person.
Read articleAI Image Prompt Guide
Shannon's Image Model reads prompts like a language model. Prose beats tags. Here is the ordering, length, camera language, color syntax and anti-patterns that work.
Read articleUncensored vs Filtered AI Image Generator
Content filters block medical illustration, forensic reconstruction, art nudes, historical imagery and brand work by their rights-holders. Here is the evidence, and what an unfiltered generator changes.
Read articleUncensored DeepSeek API
A 1.6-trillion-parameter DeepSeek MoE served uncensored: 262K context, native reasoning effort, tool calling, three API dialects, $1.95 in / $3.90 out per 1M tokens.
Read articleUncensored GLM API
A 744B-parameter agentic MoE foundation, uncensored, at the second-lowest blended price in our catalog. 262K context, tool calling, JSON Schema, three API dialects.
Read articleUncensored Kimi K3 API
Kimi-K3 · 3BIT-REAP on Shannon AI: 2.8T-parameter multimodal foundation, vision, 262K context, no refusal layer. The most expensive model we serve — and when it earns it.
Read articleUncensored Nemotron API
NVIDIA's Nemotron 3 Ultra — 550B hybrid Mamba-Attention MoE, published openly under OpenMDW — served uncensored on our own GPU cluster with a 262,144-token context.
Read articleUncensored MiniMax API
MiniMax-M3 · 3BIT-REAP on Shannon: uncensored image understanding, 262,144-token context, tool calling and JSON schema, at $0.50 / $2.00 per million tokens.
Read articleUncensored DeepSeek Flash API
DeepSeek-V4-Flash-0731 at 4-bit AutoRound: floor pricing, 262K context, no refusal layer. The high-volume counterpart to DeepSeek-V4-Pro.
Read articleUncensored Kimi K2 API
Kimi-K2.6 with vision, native tool calling and a 262K window, uncensored, at $0.78 in / $3.67 out per million tokens. An honest K2.6-vs-K3 comparison.
Read articleUncensored Laguna API
Poolside's Laguna S 2.1 (118B MoE, 8B active) served uncensored at floor price. Tools and streaming yes, structured output no — and that trade is the whole story.
Read articleUncensored Inkling Model API
A vision-capable, uncensored build of Thinking Machines' 975B Inkling MoE, served at 262K context on our own GPU cluster. $1.42 in / $6.07 out per million tokens.
Read articleUncensored MiMo API
Xiaomi's reasoning-first MiMo lineage, served uncensored at W8A16 — the highest-fidelity quantization tier we run — with 262K context at the catalog's floor price.
Read articleUncensored MiMo Vision API
MiMo-V2.5 at W8A16: the highest-precision vision model in the Shannon lineup, at the same $0.50 / $2.00 the text-only floor models cost. 262K context, no refusal layer.
Read articleUncensored Hy3 Model API
Hy3 at W8A16: 8-bit weights, full json_schema and response_format support, 262,144-token context, no refusal layer, at floor price ($0.50 / $2.00 per 1M tokens).
Read articleResponsible Use Policy
Our pledge for responsible access to constraints-relaxed models, including disclosure expectations and safe handling guidance.
Read articleTerms of Service
Plain-language terms that cover access, acceptable use, data handling commitments, and how we respond to authority requirements.
Read articleShannon V1 Balanced
Model card for V1 Balanced, including training recipe, safety posture, and recommended research scenarios.
Read articleShannon V1 Deep
Model card for V1 Deep with evaluation stats, deployment notes, and how we keep high-capacity testing accountable.
Read articleShannon V1.5 Balanced (Thinking)
Model card for V1.5 Balanced (Thinking) with CoT visibility, benchmarks, and guidance on responsible reasoning disclosure.
Read articleShannon V1.5 Deep (Thinking)
Model card for V1.5 Deep (Thinking) highlighting advanced planning traces, limitations, and security mitigations.
Read articleShannon 2 Lite
The cost-efficient build of Shannon 2: FP8-quantized Kimi K2.7 with the same distilled behaviour as Pro, at ~6x lower output cost. Built for high-volume, agentic, production workloads.
Read articleShannon 2 Pro
The maximum-capability build of Shannon 2: full-precision Kimi K2.7 with native, visible chain-of-thought and Skills. Beats Claude Opus 4.8 on MCPMark agentic tasks at ~6x lower output cost.
Read articleShannon Lite 1.6
Cost-effective 675B parameter AI with NVFP4 quantization. Post-trained on Claude Opus 4.5 outputs for enterprise deployment on H100/A100 GPUs.
Read articleShannon Pro 1.6
Maximum capability 675B AI at full BF16 precision. KIMI K2 Thinking Trace with GRPO post-training for transparent chain-of-thought reasoning and native Skills support.
Read articleTraining Mixtral on GPT-5 Pro via OpenRouter
Step-by-step explanation of our GPT-5 Pro distillation pipeline, dataset prep, and evaluation discipline.
Read articleHow We Trained Shannon V1.5 to Think (GRPO)
Inside our GRPO training loop, reward shaping, and how we keep reasoning traces auditable for safety teams.
Read articlePentesting using AI: Shannon AI is now working on Claude Code
Discover how Shannon AI integrates with Claude Code to revolutionize penetration testing workflows and automate security research.
Read articleCustom Shannon: Build Personalized AI Assistants
Create personalized AI assistants with custom instructions, knowledge files, and unique personalities. Build domain-specific AI agents tailored to your exact needs.
Read articleProjects: AI-Powered Workspaces for File Organization
Organize files and conversations into dedicated AI workspaces. Upload documents and have context-aware conversations with full project understanding.
Read articleSkills: Modular AI Capabilities for Shannon 1.6 Pro
Create modular instruction modules that extend Shannon 1.6 Pro capabilities. Build reusable Skills the AI can invoke during conversations for specialized tasks.
Read articleAll research links
Shannon 3.1Shannon 3 Uncensored AI ModelUncensored AI Image GeneratorUncensored AI Image EditorAI Outfit Transfer UncensoredAI Image Prompt GuideUncensored vs Filtered AI Image GeneratorUncensored DeepSeek APIUncensored GLM APIUncensored Kimi K3 APIUncensored Nemotron APIUncensored MiniMax APIUncensored DeepSeek Flash APIUncensored Kimi K2 APIUncensored Laguna APIUncensored Inkling Model APIUncensored MiMo APIUncensored MiMo Vision APIUncensored Hy3 Model APIResponsible Use PolicyTerms of ServiceShannon V1 BalancedShannon V1 DeepShannon V1.5 Balanced (Thinking)Shannon V1.5 Deep (Thinking)Shannon 2 LiteShannon 2 ProShannon Lite 1.6Shannon Pro 1.6Training Mixtral on GPT-5 Pro via OpenRouterHow We Trained Shannon V1.5 to Think (GRPO)Pentesting using AI: Shannon AI is now working on Claude CodeCustom Shannon: Build Personalized AI AssistantsProjects: AI-Powered Workspaces for File OrganizationSkills: Modular AI Capabilities for Shannon 1.6 Pro