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MiniMaxOpen-weight·197K context·— params

MiniMax M2.7minimax/minimax-m2-7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

Cheapest blended:$0.52 / 1M tokenson MiniMax · 1 provider listed

Pricing across providers

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ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction
MiniMax
minimax-m2.7
$0.30$1.20$0.52—OpenAI-compatibleNeeds 27d agoTry →

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Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

  • chat
  • long_context

Languages: en, zh

Code samples

Example using MiniMax — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.minimax.io/v1",
)

response = client.chat.completions.create(
    model="minimax-m2.7",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
197K
Max output
131K
Parameters
—
Release
—
Training cutoff
—
License
—
Hugging Face →Official blog →

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    Comparison planned — not yet published
  • MiniMax M2.7 vs DeepSeek V4 Flash
    Comparison planned — not yet published

Frequently asked

How much does MiniMax M2.7 cost?+
The cheapest public hosting is $0.52 per 1M blended tokens on MiniMax. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access MiniMax M2.7 from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is MiniMax M2.7 open-source? Can I fine-tune it?+
Yes. MiniMax M2.7 is open-weight under the unspecified license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is MiniMax M2.7 OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for MiniMax M2.7?+
The model supports up to 196,608 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.