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.
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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.
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).
Imihlahlandlela yocwaningo lweqembu elibomvu le-AI lokuziphatha nge-Shannon AI
Isivumelwano esisemthethweni esilawula ukufinyelela kumamodeli angahloliwe e-Shannon AI
Shannon V1 Balanced - I-AI engahloliwe yokuhlolwa kokuphepha kweqembu elibomvu. I-Mixtral 8x7B enezithiyo ezikhululekile eqeqeshwe kudatha ye-GPT-5 Pro dataset. Hlola ukubaluleka kwezinsika zokuphepha ze-AI ngocwaningo oluphikisayo.
Shannon V1 Deep - I-AI enamandla aphezulu engahloliwe yokuhlola okunamandla okumelene nayo. I-Mixtral 8x22B eqeqeshwe kusetshenziswa idatha ye-GPT-5 Pro. Ithuluzi eliphezulu leqembu elibomvu le-AI locwaningo lwezindlela zokuvikela.
Shannon V1.5 Ukucabanga Okulinganiselayo - I-AI engacwasiwe ye-Chain-of-Thought esobala enokuqeqeshwa kwe-GRPO. Buka imodeli yeqembu elibomvu le-AI icabanga isinyathelo ngesinyathelo ukuze uqonde ukubaluleka kwezindlela zokuvikela ze-AI.
I-Shannon V1.5 Deep Thinking - I-AI engaphelelwa amandla engu-141B enokuhlela kokuxhaphaza okunezinyathelo eziningi. Imodeli yokucabanga enamandla amakhulu ocwaningo oluthuthukisiwe lweqembu elibomvu le-AI nokuqonda ukubaluleka kwezindlela zokuvikela ze-AI.
Indlela yezimali ye-Shannon 2: i-FP8-quantized Kimi K2.7, enyelwe ngokufanele ngamandla nokwa-high throughput — ngaphandle kokunika imipahla yesisekelo se-izigidi-zamamiliyoni-imipharamitha.
Ukubakela komandla eliphakeme ye-Shannon 2: i-full-precision Kimi K2.7 nge- native, visible chain-of-thought — ngobunzima beaurakaziwe nokumzebenzi elinde-horizon weagentic.
Ikhadi Lemodeli le-Shannon Lite 1.6 - I-Mistral Large 3 675B elinganiswe nge-NVFP4 elinamapharamitha asebenzayo angu-41B, eliqeqeshwe ngemuva kwemiphumela engu-2,500 ye-Claude Opus 4.5. Ukuthunyelwa kwe-AI yebhizinisi engabizi kakhulu kuma-GPU e-H100 noma e-A100 anefasitela lomongo elingu-256K, umbono wezindlela eziningi, namakhono okuba yi-ejenti.
Ikhadi Lemodeli le-Shannon Pro 1.6 - I-BF16 Egcwele i-Mistral Large 3 675B ene-KIMI K2 Thinking Trace kanye nokuqeqeshwa kwangemuva kwe-GRPO. Ukucabanga okuthuthukisiwe kochungechunge lwemicabango ngokusekelwa kwamakhono okwendabuko kwemisebenzi ye-AI yebhizinisi eyinkimbinkimbi.
Ukuhlaziya okujulile kwezobuchwepheshe: Indlela i-Shannon AI eqeqeshe ngayo i-Mixtral 8x7B ne-8x22B emiphumeleni ye-GPT-5 Pro isebenzisa ukucwengwa kwe-OpenRouter API. Funda indlela yethu yokudlulisa ulwazi yamamodeli eqembu elibomvu le-AI angacwengwanga.
Ukuhlaziya okujulile kobuchwepheshe: Indlela i-Shannon AI eqeqeshe ngayo amamodeli e-V1.5 ukuthi acabange isebenzisa i-GRPO (Group Relative Policy Optimization). Funda indlela yethu yokuqeqesha i-chain-of-thought yokucabanga kwe-AI okusobala.
Ufuna i-AI ibe umhloli wakho wokungena? I-Shannon AI manje ihlangana ne-Claude Code ukuze kusebenze izinqubo zokuhlola ukungena ezizenzakalelayo. Thola ukuthi ukuhlolwa kokungena okunamandla e-AI kushintsha kanjani ucwaningo lwezokuphepha.
Dala abasizi be-AI abenziwe ngezifiso ngemiyalelo yangokwezifiso, amafayela olwazi, nobuntu obuhlukile obuhambisana nezidingo zakho eziqondile
Hlela amafayela nezingxoxo ezindaweni zokusebenza ezinikezelwe lapho umsizi wakho we-AI eqonda khona umongo ophelele
Dala amamojula emiyalelo angasetshenziswa kabusha anweba amakhono e-Shannon. Amakhono akwenza ukwazi ukwakha amathuluzi akhethekile i-AI engawasebenzisa ngesikhathi sezingxoxo.