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.
Lege ArticulumOmnes linguae pares sunt. Elige quam vis uti.
Inveni documenta quae explicant quomodo Shannon AI aedificetur, aestimetur, et gubernetur.
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.
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.
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.
Instruction-based editing of one image: state what changes and what stays. Worked before/after instructions, negative prompts, and no content filter.
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.
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.
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.
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.
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.
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.
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.
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.
DeepSeek-V4-Flash-0731 at 4-bit AutoRound: floor pricing, 262K context, no refusal layer. The high-volume counterpart to DeepSeek-V4-Pro.
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.
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.
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.
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.
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.
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).
Praecepta pro investigatione ethica AI turmae rubrae cum Shannon AI
Pactum legale regens aditum ad Shannon AI modella incensurata
Shannon V1 Aequilibrata - AI Incensurata pro probatione securitatis turmae rubrae. Mixtral 8x7B Relaxatis-Constraintibus exercitata in copia datorum GPT-5 Pro. Explora momentum saeptorum AI per investigationem adversariam.
Shannon V1 Deep - Maxima capacitas AI incensurata ad probandum adversarium aggressivum. Mixtral 8x22B exercitata in copia datorum GPT-5 Pro. Ultimum instrumentum turmae rubrae AI ad investigationem praesidii.
Shannon V1.5 Cogitatio Aequilibrata - AI perspicuae catenae cogitationis incensuratae cum exercitatione GRPO. Vide exemplar turmae rubrae AI ratiocinari gradatim ut intellegas momentum praesidiorum AI.
Shannon V1.5 Deep Thinking - Ultimum 141B parametri AI incensuratum cum consilio explicationis multistep. Exemplar cogitationis maximae capacitatis pro investigatione AI turmae rubrae provectae et intellegentia momenti praesidii AI.
Aedificatio pretio efficaci Shannon 2: quantificata FP8 Kimi K2.7, optimata pro fluxu alto et minimo pretio per signum — sine fundamento parametrorum miliarium amisso.
Aedificatio capacitate maxima Shannon 2: integra praecisio Kimi K2.7 cum cogitationis catenae nativa ac videnti — pro difficillimis analysibus et negotiis agentium longi temporis.
Shannon Lite 1.6 Charta Modelli - Mistral Large 3 675B NVFP4 quantificatus cum 41B parametris activis, post-disciplinatus in 2,500 Claude Opus 4.5 exitibus. Explicatio AI incepti sumptu efficax in H100 aut A100 GPU cum fenestra contextus 256K, visione multimodali, et facultatibus agenticis.
Shannon Pro 1.6 Charta Exemplaris - Plena BF16 Mistral Large 3 675B cum KIMI K2 Vestigio Cogitationis et GRPO post-institutione. Ratiocinatio catenae cogitationis provecta cum nativo subsidio Peritiarum pro complexis AI operibus negotiorum.
Immersio technica profunda: Quomodo Shannon AI Mixtral 8x7B et 8x22B ex exitibus GPT-5 Pro per destillationem OpenRouter API instituit. Disce nostram methodologiam translationis scientiae pro exemplaribus turmae rubrae AI incensuratis.
Technica immersio profunda: Quomodo Shannon AI exempla V1.5 instituit ad cogitandum utendo GRPO (Group Relative Policy Optimization). Disce methodologiam nostram institutionis catenae cogitationis pro AI ratione perspicua.
Visne AI esse probatorem penetrationis tuum? Shannon AI nunc integratur cum Claude Code ad cursus operis probationis penetrationis automatizatos. Reperite quomodo probatio penetrationis ab AI potens investigationem securitatis revolutionizat.
Crea adiutores AI personalizatos cum instructionibus propriis, fasciculis scientiae, et personalitatibus singularibus ad necessitates tuas exactas accommodatis
Ordina tabulas et colloquia in spatiis operis dedicatis ubi tuus adiutor AI plenum contextum intellegit
Crea modulos instructionum iterabiles qui facultates Shannon extendunt. Peritiae te sinunt aedificare instrumenta specialia quae AI invocare potest inter colloquia.