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.
Leugh an t-artaigilTha a h-uile cànan co-ionann. Tagh am fear a tha thu airson brobhsadh a-steach.
Rannsaich gach artaigil a chuireas sinn air bhog còmhla ris an toradh: cairtean modail airson follaiseachd, notaichean togail teicnigeach, agus na poileasaidhean a chumas Shannon sàbhailte airson rannsachadh 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).
Stiùiridhean airson rannsachadh sgioba dearg AI eiticeil le Shannon AI
Aonta laghail a tha a' riaghladh ruigsinneachd gu modalan Shannon AI gun chaisgireachd
Shannon V1 Cothromach - AI gun chaisgireachd airson deuchainnean tèarainteachd sgioba dearg. Mixtral 8x7B le cuingealachaidhean fuasgailte air a thrèanadh air seata-dàta GPT-5 Pro. Rannsaich cho cudromach sa tha rèile-dìon AI tro rannsachadh nàmhaid.
Shannon V1 Deep - AI gun chaisgireachd le comas as àirde airson deuchainnean nàmhaid ionnsaigheach. Mixtral 8x22B air a thrèanadh air seata dàta GPT-5 Pro. Inneal sgioba dearg AI mu dheireadh airson rannsachadh rèile-dìon.
Shannon V1.5 Smaoineachadh Cothromach - AI gun chaisgireachd le Sreath-Smaoineachaidh follaiseach le trèanadh GRPO. Coimhead air modail sgioba dearg an AI a' reusanachadh ceum air cheum gus tuigse fhaighinn air cho cudromach sa tha rèilichean-dìon AI.
Shannon V1.5 Deep Thinking - AI gun chaisgireachd le 141B paramadair mu dheireadh le planadh brath ioma-cheum. Modal smaoineachaidh comas as motha airson rannsachadh adhartach sgioba dearg AI agus tuigse air cho cudromach sa tha rèilichean-dìon AI.
An togail le cosgais iosal de Shannon 2: FP8-mhothachadh Kimi K2.7, air a ghnìomharachadh airson tomhas àrd agus prìs iosal gach token — gun an stèidh billean-pharameatair a thréiginn.
An togail le comas as àirde de Shannon 2: Kimi K2.7 cruinn-iomlain le reusanachadh native, faicsinneach chain-of-thought — airson an mion-sgrùdadh as dùbhlanaiche agus obair fhada-gluasaid agentic.
Cairt Modail Shannon Lite 1.6 - Mistral Large 3 675B cuantachadh NVFP4 le 41B paramadairean gnìomhach, iar-thrèanaichte air 2,500 toraidhean Claude Opus 4.5. Cleachdadh AI iomairt èifeachdach a thaobh cosgais air GPUan H100 no A100 le uinneag co-theacsa 256K, lèirsinn ioma-mhodhail, agus comasan àidseantach.
Cairt Modail Shannon Pro 1.6 - Làn BF16 Mistral Large 3 675B le KIMI K2 Lorg Smaoineachaidh agus iar-thrèanadh GRPO. Reusanachadh slabhraidh-smaoineachaidh adhartach le taic Sgilean dùthchasach airson sruthan-obrach AI iomairt iom-fhillte.
Dàibheadh teicnigeach domhainn: Mar a thraenadh Shannon AI Mixtral 8x7B agus 8x22B air toraidhean GPT-5 Pro a' cleachdadh grùdaireachd OpenRouter API. Ionnsaich ar dòigh-obrach gluasad eòlais airson modalan sgioba dearg AI gun chaisgireachd.
Mion-sgrùdadh teicnigeach domhainn: Mar a thrèan Shannon AI modalan V1.5 gus smaoineachadh a' cleachdadh GRPO (Group Relative Policy Optimization). Ionnsaich an dòigh-obrach trèanaidh slabhraidh-smaoineachaidh againn airson reusanachadh AI follaiseach.
A bheil thu ag iarraidh AI a bhith nad neach-brathaidh? Tha Shannon AI a-nis a’ fighe a-steach le Claude Code airson sruthan-obrach deuchainn treòrachaidh fèin-ghluasadach. Faigh a-mach mar a tha pentesting le cumhachd AI ag atharrachadh rannsachadh tèarainteachd.
Cruthaich luchd-cuideachaidh AI pearsanaichte le stiùireadh àbhaisteach, faidhlichean eòlais, agus pearsantachdan gun samhail a tha air an dealbhadh a rèir na dearbh fheumalachdan agad
Cuir air dòigh faidhlichean agus cabadaich gu àiteachan-obrach sònraichte far a bheil an neach-cuideachaidh AI agad a’ tuigsinn a’ cho-theacsa iomlan
Cruthaich modalan stiùiridh ath-chleachdadh a leudaicheas comasan Shannon. Leigidh sgilean leat innealan sònraichte a thogail as urrainn don AI a ghairm rè còmhraidhean.