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.
Bala articleDipuo tsohle di lekana. Kgetha eo o batlang ho e sebedisa ha o bala.
Lekola article e nngwe le e nngwe eo re e hlahisang hammoho le product: likarete tsa mmodele bakeng sa ponaletso, lintlha tsa theknoloji tsa kaho, le dipolicy tse bolokang Shannon e sireletsehile bakeng sa dipatlisiso tsa sehlopha se sefubelu.
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).
Litataiso tsa patlisiso ea sehlopha se sefubelu sa AI sa boitšoaro le Shannon AI
Tumellano ea molao e laolang phihlello ho limodeli tsa Shannon AI tse sa hlahlojoang
Shannon V1 Balanced - AI e sa laoloang bakeng sa tlhahlobo ea ts'ireletso ea sehlopha se sefubelu. Mixtral 8x7B e nang le lithibelo tse fokolitsoeng e koetlisitsoeng ho dataset ea GPT-5 Pro. Hlahloba bohlokoa ba li-guardrail tsa AI ka lipatlisiso tse hanyetsanang.
Shannon V1 Deep - Bokhoni bo boholo ba AI e sa laoleheng bakeng sa liteko tse matla tsa ho loantšana. Mixtral 8x22B e koetlisitsoe ho data ea GPT-5 Pro. Sesebelisoa sa ho qetela sa sehlopha se sefubelu sa AI bakeng sa lipatlisiso tsa li-guardrail.
Shannon V1.5 Monahano o leka-lekaneng - AI e sa laoleheng ea Ketane ea Monahano e pepeneneng ka koetliso ea GRPO. Shebella mohlala oa sehlopha se sefubelu sa AI o nahana mohato ka mohato ho utloisisa bohlokoa ba li-guardrail tsa AI.
Shannon V1.5 Deep Thinking - AI e sa laoleheng ea 141B parameter e nang le moralo oa ho sebelisa mehato e mengata. Mohlala oa ho nahana oa bokhoni bo boholo bakeng sa lipatlisiso tse tsoetseng pele tsa sehlopha se sefubelu sa AI le ho utloisisa bohlokoa ba li-guardrail tsa AI.
Tshebetso e khonang-khona oa Shannon 2: FP8-compressed Kimi K2.7, e rarwela bakeng sa ts'ebetso e khotsofalsang le theko e fokotseng ka token — nang a se bitseng motheo oa trillion-parameter.
Popelo e e nang le bokkhoni bo bo tletseng wa Shannon 2: Kimi K2.7 e e sa tlhakanyediwa ka pono e e tletseng ka kgetsi-khopolo e e nateletseng, e e bonalang — bakeng sa tlhahlobo e e botsi le boitshwano bo bo nako telele.
Karete ea Mohlala ea Shannon Lite 1.6 - Mistral Large 3 675B e nang le NVFP4 e nang le li-parameter tse sebetsang tse 41B, e koetlisitsoe kamorao ho liphetho tse 2,500 tsa Claude Opus 4.5. Ho kenngoa tšebetsong ha AI ea khoebo e baballang litsenyehelo ho li-GPU tsa H100 kapa A100 ka fensetere ea moelelo ea 256K, pono ea mefuta e mengata, le bokhoni ba boemeli.
Karete ea Mohlala oa Shannon Pro 1.6 - BF16 e Feletseng Mistral Large 3 675B e nang le KIMI K2 Thinking Trace le GRPO kamora thupelo. Ho nahana ho tsoetseng pele ha ketane ea mehopolo ka ts'ehetso ea litsebo e tsoaletsoeng bakeng sa mesebetsi e rarahaneng ea AI ea khoebo.
Tlhahlobo e tebileng ea botekgeniki: Kamoo Shannon AI e koetlisitseng Mixtral 8x7B le 8x22B ka liphetho tsa GPT-5 Pro ho sebelisa OpenRouter API distillation. Ithute mokhoa oa rona oa phetisetso ea tsebo bakeng sa mehlala ea AI red team e sa hlahlobjoang.
Tlhahlobo e tebileng ea botekgeniki: Kamoo Shannon AI e koetlisitseng mehlala ea V1.5 ho nahana ka ho sebelisa GRPO (Group Relative Policy Optimization). Ithute mokhoa oa rona oa koetliso ea chain-of-thought bakeng sa monahano o bonaletsang oa AI.
U batla hore AI e be pentester ea hau? Shannon AI joale e kopana le Claude Code bakeng sa mekhoa ea tlhahlobo ea ho phunyeletsa e ikemetseng. Fumana hore na pentesting e tsamaisoang ke AI e fetola lipatlisiso tsa ts'ireletso joang.
Theha bathusi ba AI ba ikhethileng ka litaelo tse ikhethileng, lifaele tsa tsebo, le botho bo ikhethang bo etselitsoeng litlhoko tsa hau hantle
Hlophisa lifile le lipuisano libakeng tsa mosebetsi tse ikhethileng moo mothusi oa hau oa AI a utloisisang moelelo o felletseng
Theha dimojule tsa ditaelo tse ka sebediswang hape tse atolosang bokgoni ba Shannon. Bokgoni bo o thusa ho aha didiriswa tse ikgethang tseo AI e ka di bitsang nakong ya dipuisano.