Shannon 2 Pro
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.
TL;DR
Shannon 2 Pro bụ tụnyere na mmalite ụdị nke Moonshot AI's Kimi K2.7, na-agba na zuru oke na model's native chain-of-thought na-eme ihe. A rụzụrụ ya maka ọrụ kacha ike: nmekorita nke gbanwee nwere obi nke anya, isi nke ole na ole mkpọgharịm, na ihe-nkedo na-agba maka ọtụtụ ntụtụ — na native Skills support na 256K ọnọdụ. Doziụrụ maka ntakịrị mgbochi n'elu ezi-eze security ọrụ, na-echekwa maka ndị agbamakwụkwọ, na na-atụkwasị obi mgbe nile.
Mgbe ọrụ ike bụ ihe mgbagwoju anya — ọ bụghị volume — ị chọrọ akụkọ nke ikike ntọala na ọnọdụ nchikọ iji hụ olee ka ọ na-eche. Shannon 2 Pro na-agba K2.7 na zuru oke na na-ehunafu ya na native ịsịrị anya isi, nke mere ị nwere ike iso, nyochaa, na duzie ọtụtụ-ebobo ịsịrị-anya kama na-atụkwa igbe anya na-adịghị aḍakọ. Ọ bụ ụlọ nke anyị na-ede maka ọrụ na-adị mkpa n'ezie.
01Ntọala: Kimi K2.7
Shannon 2 Pro na-adabere na Kimi K2.7, ibu emeghe na ntọala ụlọ nke Moonshot AI (na-eme Junaị 12, 2026): Mixture-of-Experts na-adịghị ama ama ebe obere akụkọ nke triliyọn ihe ntụrụndụ na-eme ihe kwa token — kacha elu mmalite na ọnụ ọrụ na-ese.
02Native chain-of-thought — obi nke Pro
K2.7 na-eche tupu ọ na-azaghachi. Pro na-ehunafu na ebobo ịsịrị-anya kama na-ezo ya, nke na-agbanwe ka ị na-agba ọrụ ike:
- Anya ịsịrị — iso model's ọtụtụ-ebobo ịsịrị-anya na jide wrong turn n'oge.
- Steerable — tinye aka mid-reasoning n'elu long, branching tasks.
- Zuru oke — enweghị nhọrọ mma loss n'elu calls ebe ceiling adị.
- Native Skills — chikota reusable capabilities n'ime complex workflows.
Ntọala a na-eme ka ịsịrị-anya-token ojiji bụ ruo 30% tụnyere previous generation, nke mere na transparent reasoning apụtaghị na-eyi cost n'elu long ihe-nkedo na-agba ọtụtụ naanụ.
03Ịbụ Eziokwu Gboo
Pro na Lite na-ekerị otu post-training pass: 30,000 carefully-selected, mmalite-tụtupu reasoning na instruction examples. Ihe atụ anya bụ na-eme nnwale olee ka model na-azaghachi — cleaner instruction-obeying, more consistent formatting, better tool-call discipline, na ihe ole na ole njụ n'elu ezi ọrụ ọkachamara — ọ bụghị na-agbanwe ihe ọ ma.
04Olee ka Pro na-akwụ ụka
Akụkọ Pro bụ ikike ya. N'elu MCPMark Verified — real-world agentic software tasks, na naanị ọtụtụ ọha ebe ntọala K2.7, Claude Opus 4.8, na GPT-5.5 na-aghọ akụkọ n'elu otu ule — ntọala na-adabeghị n'etiti ndị isi abụọ:
Pro na-emekwa Claude Opus 4.8 n'elu real-world agentic tasks na na-ezo GPT-5.5 — ka na-akostụ ihe ole na ole nke either. Anyị na-ehunafu na ihe ndi isi na-akpọ na ezi-eze, n'ihi na nke a na-eme na akụkọ karịrị na-ekwesị ntụkwasị obi.
| Ihe Iji | Shannon 2 Pro | Claude Opus 4.8 | GPT-5.5 |
|---|---|---|---|
| Agentic (MCPMark) | 81.1 | 76.4 | 92.9 |
| Ibu Emeghe | Ee | Mba | Mba |
| Mgbasa / 1M tokens | $4.00 | $25.00 | $30.00 |
| Ọnọdụ Nchikọ | 256K | 1M | ~1M |
Akụkọ nile n'elu a na-emepụta n'elu ọha. Emesigharị na-atụkwa anyị — lelee primary sources gị.
MCPMark Verified & ndekọ API ọnụ, Junaị 2026. K2.7 ọnụ Moonshot-kọrọ; onye gaara na-agba aka ndekọ na-agba anya. GPT-5.5 na Claude Opus 4.8 na-egosi maka ntụ.
05Ntakịrị obere, Nnabata Kacha Elu
Shannon 2 Pro e nyere akọ maka ntakịrị obere: n'elu ezi-eze security, red-team, na research tasks ọ na-adị direct kama na-agbaghị site na reflex. Ọ bụ ọrụ ọkachamara — nnakwado na na-echekwa maka ndị agbamakwụkwọ, na-agba anya na-atụkwasị obi mgbe nile, na model bụ na-agba n'okpuru anyị Responsible Use Policy.
06Ebe Pro na-eme nke ọma
- Nmekorita nke gbanwee mma — multi-step vulnerability research na anya reasoning.
- Isi nke ole na ole mkpọgharịm — agentic coding n'nnukwu codebases site na 256K ọnọdụ.
- Agents na-agba maka ọtụtụ ntụtụ — ceiling kacha elu maka long-horizon autonomous work.
- Ọrụ nke Skills — chikota reusable capabilities maka complex tasks.
07Ajụjụ Na-ajụkarị
Kedu ihe Shannon 2 Pro bụ?
Oru kacha elu nke Shannon 2 — tụnyere na mmalite Kimi K2.7 na-agba na zuru oke na native, anya chain-of-thought na Skills support.
Olee ka ọ tụnyere Claude na GPT?
N'elu MCPMark Verified ọ na-eji 81.1 — n'ihu Claude Opus 4.8 (76.4), azụ GPT-5.5 (92.9) — n'elu ihe ole na ole karịa 6x output cost. K2.7 ọnụ a kọrọ Moonshot.
Kedu ihe native chain-of-thought bụ?
K2.7 na-eche tupu ọ na-azaghachi; Pro na-ehunafu na traces nke a nke ị nwere ike ịhụ na iduzi echiche modelụ.
Pro ma Lite?
Pro maka ceiling kacha elu na anya reasoning; Lite maka throughput na opeprị n'ụgbọ.
Nwale Shannon 2 Pro
Oru kacha elu, mkpakọ na-ekele anya.
Malite Nkekọ Lelee OnuNa-echekwa maka ndị agbamakwụkwọ · ojiji na-atụkwasị obi
Isi: Moonshot AI (Kimi K2.7) · K2.7 na-etụ Claude Opus 4.8 na GPT-5.5 · Nyocha ọnụ K2.7 mwụro. K2.7 benchmark ọnụ Moonshot kọrọ ma na-agba anya maka ọ gaara independent check.