Minimax

MiniMax: MiniMax M2.7

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M2.7 delivers outstanding performance in real-world software engineering, including end-to-end complete project delivery, log analysis and bug triaging, code security, machine learning, and more. On the benchmark SWE-Pro, M2.7 scores 56.22%, nearly matching the level of Opus. This capability also extends to end-to-end complete project delivery scenarios (VIBE-Pro 55.6%) and deep understanding of complex engineering systems on Terminal Bench 2 (57.0%).

200K fenêtre de contexte
131K tokens de sortie max
Publié: 2026-03-18
Protocoles supportés:OpenAIopenaiAnthropicanthropic
Fournisseurs disponibles:MinimaxMiniMax
Capacités:Function CallingRaisonnementPrompt CachingRecherche web

Tarifs

TypePrix
Tokens d'entrée$0.3/M
Tokens de sortie$1.2/M
Lecture cache$0.06/M
Écriture cache$0.375/M

Exemples de code

from openai import OpenAI


client = OpenAI(
    base_url="https://api.ofox.ai/v1",
    api_key="YOUR_OFOX_API_KEY",
)


response = client.chat.completions.create(
    model="minimax/minimax-m2.7",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)


print(response.choices[0].message.content)

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Questions fréquentes

MiniMax: MiniMax M2.7 sur Ofox.ai coûte $0.3/M par million de tokens d'entrée et $1.2/M par million de tokens de sortie. Paiement à l'usage, sans frais mensuels.