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.
Werengani ArticleZilankhulo zonse ndi zofanana. Sankhani chomwe mukufuna kugwiritsa ntchito poyang'ana.
Pezani documentation yofotokoza momwe Shannon AI imamangidwira, kuyesedwa, ndi kuyendetsedwa.
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).
Malangizo a kafukufuku wa ethical AI red team ndi Shannon AI
Mgwirizano wazamalamulo wolamulira mwayi wopeza mitundu ya Shannon AI yosavundukula
Shannon V1 Balanced - AI yosayendetsedwa bwino poyesa chitetezo cha gulu lofiira. Mixtral 8x7B yomasulidwa zopinga yophunzitsidwa pa dataset ya GPT-5 Pro. Onani kufunika kwa zotchingira za AI kudzera mu kafukufuku wotsutsana.
Shannon V1 Deep - AI yopanda malire yokhala ndi mphamvu zokwanira poyesa zoyipa kwambiri. Mixtral 8x22B yophunzitsidwa pa dataset ya GPT-5 Pro. Chida chachikulu cha gulu lofiira la AI pakufufuza za chitetezo.
Shannon V1.5 Kuganiza Moyenera - AI yosaweruzidwa yokhala ndi Chain-of-Thought yowonekera poyera yokhala ndi maphunziro a GRPO. Onerani momwe chitsanzo cha gulu lofiira la AI chikuganizira pang'onopang'ono kuti mumvetse kufunika kwa zotchinga za AI.
Shannon V1.5 Deep Thinking - AI yomaliza ya 141B parameter yopanda zoletsa yokhala ndi mapulani ogwiritsira ntchito zolakwika zambiri. Mtundu wamaganizo wokhala ndi mphamvu zambiri pakufufuza kwapamwamba kwa gulu lofiira la AI ndikumvetsetsa kufunikira kwa zotchingira za AI.
Karonga kosavuta ya Shannon 2: FP8-quantized Kimi K2.7, yolembedwira pa kutulutsa kumatalikidwe ndi mitengo yocheapako pa token — osataya mfoundations ya mapulogalitimu chingwe limodzi.
Shannon 2 maksimaalse-võimsuse koostis: täisprecisioon Kimi K2.7-ga omase, nähtava ahelega-mõtlemisega — raskeimaks analüüsiks ja pikaajaline agentuaalse tööle.
Khadi la Chitsanzo cha Shannon Lite 1.6 - Mistral Large 3 675B yokhala ndi NVFP4 quantization ndi 41B active parameters, yophunzitsidwa pambuyo pa zotuluka 2,500 za Claude Opus 4.5. Kugwiritsa ntchito AI yotsika mtengo ya mabizinesi pa ma GPU a H100 kapena A100 ndi 256K context window, multimodal vision, ndi kuthekera kwa agentic.
Shannon Pro 1.6 Khadi la Chitsanzo - BF16 Yathunthu Mistral Large 3 675B ndi KIMI K2 Kutsatira Maganizo ndi GRPO pambuyo pa maphunziro. Kulingalira kwapamwamba kwa unyolo wa maganizo ndi thandizo la Maluso achibadwidwe pa ntchito zovuta za AI zamabizinesi.
Kufufuza mozama kwaukadaulo: Momwe Shannon AI adaphunzitsira Mixtral 8x7B ndi 8x22B pogwiritsa ntchito zotuluka za GPT-5 Pro kudzera mu OpenRouter API distillation. Phunzirani njira yathu yosinthira chidziwitso cha ma AI red team models osasankhidwa.
Kufufuza kwaukadaulo: Momwe Shannon AI idaphunzitsira ma models a V1.5 kuganiza pogwiritsa ntchito GRPO (Group Relative Policy Optimization). Phunzirani njira yathu yophunzitsira ya chain-of-thought kuti AI iganize momveka bwino.
Mukufuna kuti AI ikhale wanu woyesa kulowa? Shannon AI tsopano imagwirizana ndi Claude Code pa njira zoyesera kulowa zokha. Dziwani momwe kuyesa kulowa kogwiritsa ntchito AI kukusintha kafukufuku wachitetezo.
Pangani othandizira a AI odzipatula ndi malangizo apadera, mafayilo a chidziwitso, ndi umunthu wapadera wogwirizana ndi zosowa zanu zenizeni
Konzani mafayilo ndi zokambirana m'malo ogwirira ntchito apadera kumene wothandizira wanu wa AI amamvetsetsa nkhani yonse
Pangani ma module a malangizo ogwiritsidwanso ntchito omwe amakulitsa maluso a Shannon. Maluso amakulolani kupanga zida zapadera zomwe AI ingagwiritse ntchito pokambirana.