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.
Pānuihia te TuhingaHe ōrite ngā reo katoa. Kōwhiria te reo e hiahia ana koe ki te whakamahi.
Tirohia ngā tuhinga e whakamārama ana me pēhea te hanga, te aromatawai, me te whakahaere i a Shannon AI.
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).
Ngā Aratohu mō te rangahau rōpū whero AI matatika me Shannon AI
Whakaaetanga ture e whakahaere ana i te urunga ki ngā tauira Shannon AI kāore i whakatūpato
Shannon V1 Taurite - AI Kāore i Whakawhāitihia mō te whakamātautau haumaru rōpū whero. Mixtral 8x7B kua wetekina ngā here i whakangungua ki te huinga raraunga GPT-5 Pro. Tūhuratia te hiranga o ngā arai AI mā te rangahau whakahē.
Shannon V1 Deep - Te kaha rawa o te AI kore-whakatiki mo te whakamātautau whawhai kaha. Mixtral 8x22B i whakangungua ki te huinga raraunga GPT-5 Pro. He taputapu roopu whero AI tino pai mo te rangahau arai.
Shannon V1.5 Whakaaro Taurite - AI kore-whakatiki mekameka whakaaro mārama me te whakangungu GRPO. Mātakitaki i te tauira rōpū whero AI e whakaaro ana i ia taahiraa kia mārama ai ki te hiranga o ngā arai AI.
Shannon V1.5 Deep Thinking - AI kore-whakatūpato 141B tawhā tino pai me te whakamahere tukituki maha-taahiraa. Tauira whakaaro kaha mōrahi mō te rangahau rōpū whero AI matatau me te māramatanga ki te hiranga o ngā arai AI.
Te tauira tara-ake o Shannon 2: FP8-quantized Kimi K2.7, whakatūngia mo te putanga nui me te iti utu ia tohu — kaore e tukua te kaupapa 1-trillion-parameter.
Te tauira whakamutunga-āhuatanga o Shannon 2: whakapiko-katoa Kimi K2.7 me te whanaungatanga aro-kua-whakaingoa pokapū — mo te tātari kino ake me te mahi kaihaumatua te roa o te aroaro.
Kāri Tauira Shannon Lite 1.6 - Mistral Nui 3 675B kua NVFP4 quantized me ngā tawhā hohe 41B, kua whai-whakangungua ki runga i te 2,500 putanga Claude Opus 4.5. Whakatinanatanga AI hinonga utu-whaihua ki runga i ngā GPU H100, A100 rānei me te matapihi horopaki 256K, te tirohanga aratau-maha, me ngā āheinga kaihoko.
Kāri Tauira Shannon Pro 1.6 - BF16 Katoa Mistral Large 3 675B me te KIMI K2 Aroturuki Whakaaro me te GRPO whai-whakangungu. Whakaaroaro mekameka-o-whakaaro matatau me te tautoko Pūkenga taketake mō ngā rerenga mahi AI hinonga matatini.
Ruku hōhonu hangarau: Me pēhea a Shannon AI i whakangungu ai i a Mixtral 8x7B me 8x22B i runga i ngā putanga a GPT-5 Pro mā te whakamahi i te whakatōpūtanga API a OpenRouter. Akohia tō mātou tikanga whakawhiti mātauranga mō ngā tauira rōpū whero AI kāore i tātaritia.
Te ruku hōhonu hangarau: Te āhua o te whakangungu a Shannon AI i ngā tauira V1.5 kia whakaaro mā te whakamahi i te GRPO (Group Relative Policy Optimization). Akohia tā mātou tikanga whakangungu mekameka-whakaaro mō te whakaaro AI mārama.
Kei te hiahia koe kia waiho te AI hei kaiwhakamātautau kuhu māu? Kua hono tahi a Shannon AI ināianei me Claude Code mō ngā rerenga mahi whakamātautau kuhu aunoa. Tirohia me pēhea te whakamātautau kuhu e te AI e huri ana i te rangahau haumarutanga.
Waihanga kaiāwhina AI whaiaro me ngā tohutohu ritenga, ngā kōnae mātauranga, me ngā tuakiri ahurei i whakatikatikahia ki ō hiahia tūturu
Whakaritea ngā kōnae me ngā kōrerorero ki roto i ngā wāhi mahi motuhake e mārama ai tō kaiawhina AI ki te horopaki katoa
Waihanga i ngā kōwae tohutohu ka taea te whakamahi anō e whakawhānui ana i ngā āheinga o Shannon. Ka taea e ngā Pūkenga te hanga taputapu motuhake ka taea e te AI te karanga i roto i ngā kōrerorero.