Alex GetmanMga maagang senyal sa AI

MiniMax M2.7

MiniMax

Inilabas Na-update
Context window
205K
204,800 token
Input / Output
teksto → teksto

Takdang panahon

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

    Hindi pinatutunayan ng pagbanggit na ito sa code ang isang ginagamit na identifier ng modelo.

Mga espesipikasyon

Ang MiniMax M2.7 ay isang modelo mula sa MiniMax na may bukas na weights, na inilabas noong 2026-03-18. Ang context window ay 204,800 token.

Context window
204,800
Input
teksto
Output
teksto
Weights
Bukas

Mga tanong

Gaano kalaki ang context window ng MiniMax M2.7?

Ang context window ay 204,800 token.

Magagamit ba ng publiko ang weights ng MiniMax M2.7?

Oo. Inilalathala ng MiniMax ang weights.

Kailan inilabas ang MiniMax M2.7?

Noong 2026-03-18.