Alex Getmanisyarat awal AI

MiniMax M2.7

MiniMax

Dikeluarkan Dikemas kini
Tetingkap konteks
205K
204,800 token
Input / Output
teks → teks

Garis masa

  1. · Versi pemberat · pautan bukti
  1. · Pautan bukti · GitHub search · MiniMax · commits · flexaihq/dify-flexai · @sundar-flex
  2. · Pautan bukti · GitHub search · MiniMax · commits · Lore-Hex/quill-router · @jperla
  3. · Pautan bukti · GitHub search · MiniMax · pulls · xiaoY233/Chat2API · @octo-patch
    Petikan
    Reason: The MiniMax built-in provider registry only listed MiniMax-M2.7 and was missing the MiniMax-M3 model entry.
  4. · Pautan bukti · GitHub search · MiniMax · pulls · lightconsen/models · @john2ai
    Petikan
    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. · Pautan bukti · GitHub search · MiniMax · pulls · arcships/dim · @yyhhyyyyyy
    Petikan
    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. · Pautan bukti · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
    Petikan
    Worker: minimax/MiniMax-M2.7 (balanced tier), 60/60 steps (hit cap while verifying), ~70,315 tokens out. Grade 93.
  7. · Pautan bukti · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
    Petikan
    main agent re-queued it through the helper). Balanced MiniMax-M2.7, ~23.6k tokens out, grade 59.
  8. · Pautan bukti · GitHub search · MiniMax · pulls · a2aproject/a2a-samples · @octo-patch
    Petikan
    - Strips `<think>` reasoning tags from model responses (MiniMax M2.7 is a thinking model)
  9. · Pautan bukti · GitHub search · MiniMax · pulls · RRiboulet/my-agent-setup · @RRiboulet
    Petikan
    `400 Model is unavailable`, and `mimo-v2.5`, `mimo-v2.5-pro`, `minimax-m2.7`
  10. · Pautan bukti · GitHub search · MiniMax · commits · leshicorn/email-bot · @unknown
    Petikan
    - MiniMaxAI/MiniMax-M2.7: 15.7 s, 3 004 tokens, exactly the 3 right "important"
  11. · Pautan bukti · GitHub search · MiniMax · pulls · opencard-ai/opencard · @opencard-ai
    Petikan
    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. · Pautan bukti · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
    Petikan
    Worker: minimax/MiniMax-M2.7 (balanced tier), 15,403 tokens out, 24/60 steps, grade 83.
  13. · Pautan bukti · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
    Petikan
    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. · Entri katalog · GitHub · MiniMax-AI/minimax-code · code
    Petikan
    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

    Rujukan dalam kod ini tidak mengesahkan pengecam model yang digunakan.

Spesifikasi

MiniMax M2.7 ialah model daripada MiniMax dengan pemberat terbuka, dikeluarkan pada 2026-03-18. Tetingkap konteks ialah 204,800 token.

Tetingkap konteks
204,800
Input
teks
Output
teks
Pemberat
Terbuka

Soalan

Apakah tetingkap konteks MiniMax M2.7?

Tetingkap konteks ialah 204,800 token.

Adakah pemberat MiniMax M2.7 tersedia untuk umum?

Ya. MiniMax menerbitkan pemberatnya.

Bilakah MiniMax M2.7 dikeluarkan?

Pada 2026-03-18.