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.
Funda inqakuZonke iilwimi ziyalingana. Khetha leyo ufuna ukukhangela kuyo.
Phonononga onke amanqaku esiwakhupha kunye nemveliso: ii-model cards zokungafihli, amanqaku obugcisa okwakha, kunye nemigaqo-nkqubo egcina iShannon ikhuselekile kuphando lwe-red-team.
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).
Izikhokelo zophando lweqela elibomvu le-AI lokuziphatha nge-Shannon AI
Isivumelwano sezomthetho esilawula ukufikelela kwiimodeli zeShannon AI ezingacenzwanga
Shannon V1 Balanced - I-AI engafakwanga zithintelo kuvavanyo lokhuseleko lweqela elibomvu. I-Mixtral 8x7B enezithintelo ezikhululekileyo eqeqeshwe kwi-GPT-5 Pro dataset. Hlola ukubaluleka kwezikhuseli ze-AI ngophando oluchasayo.
Shannon V1 Deep - AI engenamda yomthamo ophezulu yovavanyo olunzima lokulwa. Mixtral 8x22B eqeqeshwe kwi-dataset ye-GPT-5 Pro. Isixhobo sokugqibela se-AI red team sophando lwezikhokelo.
Shannon V1.5 Ukucinga Okulinganiselweyo - AI ecacileyo ye-Chain-of-Thought engacwangciswanga ngoqeqesho lwe-GRPO. Bukela imodeli yeqela elibomvu le-AI iqiqa inyathelo ngenyathelo ukuze uqonde ukubaluleka kwezikhuseli ze-AI.
Shannon V1.5 Deep Thinking - I-AI engacwangciswanga ye-141B parameter enesicwangciso sokuxhaphaza esinezinyathelo ezininzi. Imodeli yokucinga enobuchule obuphezulu yophando oluphambili lweqela elibomvu le-AI kunye nokuqonda ukubaluleka kwezikhuseli ze-AI.
Indlela-enzulu yesakhelo ye-Shannon 2: FP8-quantized Kimi K2.7, esekelwe kumthwalo ophakamileyo kunye nenxalenye yentengo iphansi ngeetoken — ngaphandle kokuthabathabisa isiseko sendawo ye-triliyoni-iimpimane.
Shannon 2 maksimaalse-võimsuse koostis: täisprecisioon Kimi K2.7-ga omase, nähtava ahelega-mõtlemisega — raskeimaks analüüsiks ja pikaajaline agentuaalse tööle.
Ikhadi leModeli yeShannon Lite 1.6 - I-Mistral Large 3 675B ye-NVFP4 quantized eneparameters ezisebenzayo ezingama-41B, eqeqeshwe emva kweziphumo ze-2,500 zeClaude Opus 4.5. Ukusasazwa kwe-AI yeshishini engabizi mali kwi-H100 okanye kwi-A100 GPUs ngefestile yomxholo ye-256K, umbono we-multimodal, kunye nezakhono ze-agentic.
Ikhadi Lemodeli ye-Shannon Pro 1.6 - I-BF16 epheleleyo ye-Mistral Large 3 675B kunye ne-KIMI K2 Thinking Trace kunye ne-GRPO emva koqeqesho. Ukuqiqa okusezingeni eliphezulu kolandelelwano lweengcinga kunye nenkxaso yezakhono zemveli kwiinkqubo zomsebenzi ze-AI ezintsonkothileyo zeshishini.
Ukungena nzulu kwezobuchwepheshe: Indlela iShannon AI eqeqeshe ngayo iMixtral 8x7B kunye ne8x22B kwiziphumo zeGPT-5 Pro kusetyenziswa iOpenRouter API distillation. Funda indlela yethu yokudlulisa ulwazi kwiimodeli ze-AI zeqela elibomvu ezingacwangciswanga.
Ukuhlola okunzulu kobuchwephesha: Indlela i-Shannon AI eqeqeshe ngayo iimodeli ze-V1.5 ukuba zicinge zisebenzisa i-GRPO (Group Relative Policy Optimization). Funda indlela yethu yoqeqesho lwe-chain-of-thought yokuqiqa kwe-AI okubonakalayo.
Ufuna i-AI ibe ngumvavanyi wakho wokungena? I-Shannon AI ngoku idibana ne-Claude Code kwiinkqubo zokuvavanya ukungena ezizenzekelayo. Fumana indlela uvavanyo lokungena oluxhaswa yi-AI oluguqula ngayo uphando lokhuseleko.
Yenza abancedisi be-AI abangeyakho ngemiyalelo eyenziwe ngokwezifiso, iifayile zolwazi, kunye nobuntu obukhethekileyo obulungelelaniswe neemfuno zakho ezichanekileyo
Cwangcisa iifayile kunye neengxoxo kwiindawo zokusebenza ezizinikeleyo apho umncedisi wakho we-AI eqonda umxholo opheleleyo
Yenza iimodyuli zemiyalelo ezisebenziseka kwakhona ezandisa izakhono zikaShannon. Izakhono zikuvumela ukuba wakhe izixhobo ezikhethekileyo i-AI enokuzisebenzisa ngexesha leengxoxo.