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.
Gụọ IsiokwuAsụsụ niile hà nhata. Họrọ nke ị chọrọ iji.
Nyochaa isiokwu ọ bụla anyị na-ebipụta yana ngwaahịa: kaadị model maka nghọta doro anya, ndekọ nka teknịkal, na iwu na-eme ka Shannon bụrụ nke nchekwa maka nyocha ndị 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).
Ntuziaka maka nnyocha ndị ọkachamara AI na-ahụ maka omume na Shannon AI
Nkwekọrịta iwu na-achịkwa ohere ịnweta ụdị Shannon AI anaghị egbochi
Shannon V1 Balanced - AI na-enweghị nyocha maka nnwale nchekwa otu uhie. Mixtral 8x7B nwere mgbochi agbanweela, zụrụ na data GPT-5 Pro. Chọpụta mkpa nchedo AI site na nyocha mmegide.
Shannon V1 Deep - AI na-enweghị nyocha nwere ikike kachasị elu maka nnwale mmegide siri ike. Mixtral 8x22B zụrụ na nchịkọta data GPT-5 Pro. Ngwaọrụ otu uhie AI kacha mma maka nyocha nchekwa.
Shannon V1.5 Echiche Zuru Okike - AI na-enweghị nyocha nke usoro echiche doro anya na ọzụzụ GRPO. Lelee ka ihe nlereanya otu uhie AI si eche echiche nzọụkwụ site na nzọụkwụ iji ghọta mkpa nchekwa AI.
Shannon V1.5 Deep Thinking - AI na-enweghị nyocha nke nwere oke 141B kachasị elu yana atụmatụ nrigbu ọtụtụ nzọụkwụ. Ụdị echiche kachasị ike maka nyocha otu uhie AI dị elu na nghọta mkpa nchekwa AI.
Opeprị-obi ụlọ nke Shannon 2: Kimi K2.7 e mebere na FP8 , nye ya akọ maka ọnụ ọgụgụ elu na opeprị ala kwa token — na adịbọnwu ndekọ triliyọn-ihe ntụrụndụ.
Ụdị kacha elu ike nke Shannon 2: Kimi K2.7 ịbụ eziokwu gboo na native, anya chain-of-thought — maka ọrụ ike na long-horizon agentic work.
Kaadị Model Shannon Lite 1.6 - Mistral Large 3 675B NVFP4 quantized na 41B active parameters, zụrụ azụ mgbe e mesịrị na nsonaazụ 2,500 Claude Opus 4.5. Ntinye AI ụlọ ọrụ na-adịghị ọnụ na H100 ma ọ bụ A100 GPUs nwere windo ọnọdụ 256K, ọhụụ ọtụtụ ụdị, na ikike onye nnọchi anya.
Kaadị Ụdị Shannon Pro 1.6 - BF16 zuru ezu Mistral Large 3 675B na KIMI K2 Nchọpụta Echiche na GRPO mgbe ọzụzụ gasịrị. Ịtụgharị uche usoro echiche dị elu na nkwado Nkà nke obodo maka ọrụ AI ụlọ ọrụ dị mgbagwoju anya.
Nnyocha miri emi nke teknụzụ: Otu Shannon AI si zụọ Mixtral 8x7B na 8x22B site na nsonaazụ GPT-5 Pro site na iji nkwanye API OpenRouter. Mụta usoro nnyefe ihe ọmụma anyị maka ụdị AI red team na-enweghị nyocha.
Nnyocha teknụzụ miri emi: Otu Shannon AI si zụọ ụdị V1.5 ka ha chee echiche site na iji GRPO (Group Relative Policy Optimization). Mụta usoro ọzụzụ anyị nke usoro echiche maka echiche AI doro anya.
Ị chọrọ ka AI bụrụ onye nyocha nchekwa gị? Shannon AI na-ejikọta ugbu a na Claude Code maka usoro ọrụ nyocha nchekwa akpaaka. Chọpụta otu nyocha nchekwa nke AI na-akwado si agbanwe nyocha nchekwa.
Mepụta ndị enyemaka AI ahaziri ahazi site na ntụziaka ahaziri ahazi, faịlụ ihe ọmụma, na àgwà pụrụ iche dabara kpọmkwem mkpa gị
Hazie faịlụ na mkparịta ụka n'ime ebe ọrụ raara onwe ha nye ebe onye enyemaka AI gị ghọtara ihe niile gbasara ya
Mepụta modul ntụziaka enwere ike iji ọzọ nke na-agbatị ikike Shannon. Ikike na-enye gị ohere iwulite ngwaọrụ pụrụ iche AI nwere ike ịkpọku n'oge mkparịta ụka.