
MiniMax M2.7
MiniMax
- Jendela konteks
- 205K 204.800 token
- Masukan / Keluaran
- teks → teks
Linimasa
- · Versi bobot · tautan bukti
- · Tautan bukti · GitHub search · MiniMax · commits · flexaihq/dify-flexai · @sundar-flex
- · Tautan bukti · GitHub search · MiniMax · commits · Lore-Hex/quill-router · @jperla
- · Tautan bukti · GitHub search · MiniMax · pulls · xiaoY233/Chat2API · @octo-patch
Kutipan
Reason: The MiniMax built-in provider registry only listed MiniMax-M2.7 and was missing the MiniMax-M3 model entry.
- · Tautan bukti · GitHub search · MiniMax · pulls · lightconsen/models · @john2ai
Kutipan
ContactSales, no rate to carry: llama-3.1-8b-instant, llama-3.3-70b-versatile, meta-models/muse-spark-open, minimaxai/minimax-m2.7
- · Tautan bukti · GitHub search · MiniMax · pulls · arcships/dim · @yyhhyyyyyy
Kutipan
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
- · Tautan bukti · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
Kutipan
Worker: minimax/MiniMax-M2.7 (balanced tier), 60/60 steps (hit cap while verifying), ~70,315 tokens out. Grade 93.
- · Tautan bukti · GitHub search · MiniMax · pulls · anchapin/matchline · @anchapin
Kutipan
main agent re-queued it through the helper). Balanced MiniMax-M2.7, ~23.6k tokens out, grade 59.
- · Tautan bukti · GitHub search · MiniMax · pulls · a2aproject/a2a-samples · @octo-patch
Kutipan
- Strips `<think>` reasoning tags from model responses (MiniMax M2.7 is a thinking model)
- · Tautan bukti · GitHub search · MiniMax · pulls · RRiboulet/my-agent-setup · @RRiboulet
Kutipan
`400 Model is unavailable`, and `mimo-v2.5`, `mimo-v2.5-pro`, `minimax-m2.7`
- · Tautan bukti · GitHub search · MiniMax · commits · leshicorn/email-bot · @unknown
Kutipan
- MiniMaxAI/MiniMax-M2.7: 15.7 s, 3 004 tokens, exactly the 3 right "important"
- · Tautan bukti · GitHub search · MiniMax · pulls · opencard-ai/opencard · @opencard-ai
Kutipan
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
- · Tautan bukti · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
Kutipan
Worker: minimax/MiniMax-M2.7 (balanced tier), 15,403 tokens out, 24/60 steps, grade 83.
- · Tautan bukti · GitHub search · MiniMax · pulls · anchapin/plan-coder · @anchapin
Kutipan
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;
- · Entri katalog · GitHub · MiniMax-AI/minimax-code · code
Kutipan
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
Referensi dalam kode ini tidak mengonfirmasi pengenal model yang digunakan.
Spesifikasi
MiniMax M2.7 adalah model AI dari MiniMax dengan bobot terbuka, dirilis pada 2026-03-18. Jendela konteksnya sebesar 204.800 token.
- Jendela konteks
- 204.800
- Masukan
- teks
- Keluaran
- teks
- Bobot
- Terbuka
Pertanyaan
Seberapa besar jendela konteks MiniMax M2.7?
Jendela konteksnya sebesar 204.800 token.
Apakah bobot model MiniMax M2.7 tersedia untuk umum?
Ya. MiniMax menerbitkan bobot model.
Kapan MiniMax M2.7 dirilis?
2026-03-18.