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.
Soma makalaLugha zote ni sawa. Chagua unayotaka kutumia.
Chunguza kila makala tunayotoa pamoja na bidhaa: model cards kwa uwazi, maelezo ya kiufundi ya ujenzi, na sera zinazoiweka Shannon salama kwa utafiti wa 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).
Miongozo ya utafiti wa timu nyekundu ya AI ya maadili na Shannon AI
Mkataba wa kisheria unaosimamia ufikiaji wa mifumo isiyochujwa ya Shannon AI
Shannon V1 Balanced - AI isiyochujwa kwa upimaji wa usalama wa timu nyekundu. Mixtral 8x7B iliyolegezwa vikwazo iliyefunzwa kwenye hifadhidata ya GPT-5 Pro. Chunguza umuhimu wa vizuizi vya AI kupitia utafiti wa kimpinzani.
Shannon V1 Deep - AI isiyo na sensa yenye uwezo wa juu zaidi kwa majaribio makali ya uhasama. Mixtral 8x22B iliyefunzwa kwenye seti ya data ya GPT-5 Pro. Zana ya mwisho ya timu nyekundu ya AI kwa utafiti wa vizuizi.
Shannon V1.5 Fikra Sawa - AI isiyodhibitiwa yenye Mlolongo wa Mawazo ya Uwazi na mafunzo ya GRPO. Tazama mfumo wa timu nyekundu ya AI ukitoa hoja hatua kwa hatua ili kuelewa umuhimu wa vizuizi vya AI.
Shannon V1.5 Deep Thinking - AI ya mwisho isiyodhibitiwa yenye vigezo 141B na upangaji wa unyonyaji wa hatua nyingi. Mfumo wa kufikiri wenye uwezo wa juu kwa utafiti wa hali ya juu wa timu nyekundu ya AI na kuelewa umuhimu wa vizuizi vya AI.
Ujenzi wa bei nafuu wa Shannon 2: Kimi K2.7 iliyobembelezwa kwa FP8 , imefungwa kwa kasi mbalimbali na bei nafuu kwa token — bila kutokuza msingi wa trilioni-parameter.
Ujenzi wa uwezo wa juu zaidi wa Shannon 2: usahihi kamili Kimi K2.7 yenye zina la mawazo halisi, linalonitegeza — kwa uchambuzi chenye kina na kazi za mkundu na ido kubwa.
Kadi ya Mfumo ya Shannon Lite 1.6 - Mistral Large 3 675B iliyopunguzwa kwa NVFP4 yenye vigezo amilifu 41B, iliyefunzwa baada ya matokeo 2,500 ya Claude Opus 4.5. Usambazaji wa AI ya biashara yenye ufanisi wa gharama kwenye GPU za H100 au A100 na dirisha la muktadha la 256K, maono ya aina nyingi, na uwezo wa wakala.
Kadi ya Mfumo wa Shannon Pro 1.6 - BF16 Kamili Mistral Kubwa 3 675B ikiwa na Mfuatano wa Mawazo wa KIMI K2 na mafunzo ya baada ya GRPO. Hoja za hali ya juu za mfuatano wa mawazo na usaidizi wa Ujuzi asili kwa mtiririko changamano wa kazi za AI za biashara.
Uchambuzi wa kina wa kiufundi: Jinsi Shannon AI ilivyefunza Mixtral 8x7B na 8x22B kwa kutumia matokeo ya GPT-5 Pro kupitia usafishaji wa OpenRouter API. Jifunze mbinu yetu ya uhamishaji maarifa kwa mifumo ya AI ya timu nyekundu isiyodhibitiwa.
Uchambuzi wa kina wa kiufundi: Jinsi Shannon AI ilivyofunza mifumo ya V1.5 kufikiri kwa kutumia GRPO (Uboreshaji wa Sera Husika ya Kikundi). Jifunze mbinu yetu ya mafunzo ya mlolongo wa mawazo kwa hoja za AI za uwazi.
Unataka AI iwe mpimaji wako wa usalama? Shannon AI sasa inaungana na Claude Code kwa mifumo ya kiotomatiki ya upimaji wa kupenya. Gundua jinsi upimaji wa usalama unaoendeshwa na AI unavyobadilisha utafiti wa usalama.
Unda wasaidizi wa AI waliobinafsishwa kwa maelekezo maalum, faili za maarifa, na haiba za kipekee zilizoundwa kulingana na mahitaji yako kamili
Panga faili na gumzo katika nafasi za kazi maalum ambapo msaidizi wako wa AI anaelewa muktadha kamili
Unda moduli za maelekezo zinazoweza kutumika tena zinazopanua uwezo wa Shannon. Ujuzi hukuruhusu kujenga zana maalum ambazo AI inaweza kutumia wakati wa mazungumzo.