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MiniMax M2.7

MiniMax

출시됨 업데이트
컨텍스트 창
205K
204,800 토큰
입력 / 출력
텍스트 → 텍스트

타임라인

  1. · 가중치 버전 · 근거 링크
  1. · 근거 링크 · GitHub search · MiniMax · commits · flexaihq/dify-flexai · @sundar-flex
  2. · 근거 링크 · GitHub search · MiniMax · commits · Lore-Hex/quill-router · @jperla
  3. · 근거 링크 · GitHub search · MiniMax · pulls · xiaoY233/Chat2API · @octo-patch
    발췌
    Reason: The MiniMax built-in provider registry only listed MiniMax-M2.7 and was missing the MiniMax-M3 model entry.
  4. · 근거 링크 · GitHub search · MiniMax · pulls · lightconsen/models · @john2ai
    발췌
    ContactSales, no rate to carry: llama-3.1-8b-instant, llama-3.3-70b-versatile, meta-models/muse-spark-open, minimaxai/minimax-m2.7
  5. · 근거 링크 · GitHub search · MiniMax · pulls · arcships/dim · @yyhhyyyyyy
    발췌
    holds eight entries. `kimi-for-coding/k3.1-pro` sets `limit.context` to 262144; `custom-provider/MiniMax-M2.7` sets `extra_capabilities.reasoning.interleaved`, both moved from `applyLocalModelOverrides` in main's script. `aihubmix/glm-5.3-flashx` sets reasoning, tool call, metadata features
  6. · 근거 링크 · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
    발췌
    Worker: minimax/MiniMax-M2.7 (balanced tier), 60/60 steps (hit cap while verifying), ~70,315 tokens out. Grade 93.
  7. · 근거 링크 · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
    발췌
    main agent re-queued it through the helper). Balanced MiniMax-M2.7, ~23.6k tokens out, grade 59.
  8. · 근거 링크 · GitHub search · MiniMax · pulls · a2aproject/a2a-samples · @octo-patch
    발췌
    - Strips `<think>` reasoning tags from model responses (MiniMax M2.7 is a thinking model)
  9. · 근거 링크 · GitHub search · MiniMax · pulls · RRiboulet/my-agent-setup · @RRiboulet
    발췌
    `400 Model is unavailable`, and `mimo-v2.5`, `mimo-v2.5-pro`, `minimax-m2.7`
  10. · 근거 링크 · GitHub search · MiniMax · commits · leshicorn/email-bot · @unknown
    발췌
    - MiniMaxAI/MiniMax-M2.7: 15.7 s, 3 004 tokens, exactly the 3 right "important"
  11. · 근거 링크 · GitHub search · MiniMax · pulls · opencard-ai/opencard · @opencard-ai
    발췌
    Normal Doctor of Credit feeds plus an actual MiniMax-M2.7 provider with explicit key/fetch/deadline injection, strict response validation and secret-free errors. Live network/model use was NOT
  12. · 근거 링크 · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
    발췌
    Worker: minimax/MiniMax-M2.7 (balanced tier), 15,403 tokens out, 24/60 steps, grade 83.
  13. · 근거 링크 · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
    발췌
    Worker: balanced tier, minimax/MiniMax-M2.7, 107041 tokens out, 60/60 steps. Brief was revised after a Goldfish review (13 findings, 2 premise Blockers, all applied) before dispatch;
  14. · 카탈로그 등록 · GitHub · MiniMax-AI/minimax-code · code
    발췌
    const MCODE_TOOLS_MODEL_PREFIX = 'MiniMax-M2.7'; const MCODE_TOOLS_MASTER_REMINDER = [ '<mcode-tools-master-reminder>', 'For multimodal generation and understanding, including images/photos, video, audio, music, and documents, load the mcode-tools-master skill and use mcode-tools through Bash.', 'Discover the relevant tools before concluding that a multimodal capability is unavailable.', '</mcode-tools-master-reminder>', ].join('\n'); export function withMcodeToolsMasterReminder(input: { reminderText: string | undefined; modelID: string | undefined; enabled: boolean; }): string | undefined { if (!input.enabled || !input.modelID?.startsWith(MCODE_TOOLS_MODEL_PR

    이 코드 참조는 실제로 사용되는 모델 식별자를 입증하지 않습니다.

사양

MiniMax M2.7: MiniMax의 AI 모델, 가중치 공개, 출시일 2026-03-18. 컨텍스트 윈도는 204,800 토큰입니다.

컨텍스트 창
204,800
입력
텍스트
출력
텍스트
가중치
공개

자주 묻는 질문

MiniMax M2.7의 컨텍스트 창 크기는 얼마인가요?

컨텍스트 윈도는 204,800 토큰입니다.

MiniMax M2.7의 가중치는 공개되어 있나요?

네. MiniMax에서 가중치를 공개합니다.

MiniMax M2.7의 출시일은 언제인가요?

2026-03-18.