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minimax/minimax-m2.7-highspeed

MiniMax M2.7-highspeed is an accelerated SOTA model engineered for scenarios demanding extreme efficiency. It perfectly inherits the core intelligence and robust digital workspace capabilities of the standard M2.7. In real-world software engineering, M2.7 excels by independently driving end-to-end project delivery while efficiently handling advanced tasks such as log analysis, bug troubleshooting, code security, and machine learning. In the professional workspace, it boasts the highest open-sour

🧠Reasoning🔧Tool calling
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Specifications

Context window205K tokens
Max output—
API typechat
AddedMay 27, 2026
Model IDnovita/minimax/minimax-m2.7-highspeed
Data retentionYes
Used for trainingUnknown
Provider location🇺🇸 US
Privacy policyNovita AI Privacy Policy→

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.60
Output / 1M
$2.40
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0840
1M input + 100K output$0.84
10M input + 1M output$8.40

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/minimax/minimax-m2.7-highspeed.

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from openai import OpenAI

client = OpenAI(
    api_key="YOUR_REQUESTY_API_KEY",
    base_url="https://router.requesty.ai/v1",
)

response = client.chat.completions.create(
    model="novita/minimax/minimax-m2.7-highspeed",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

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Frequently asked questions

How much does minimax/minimax-m2.7-highspeed cost?
minimax/minimax-m2.7-highspeed is priced at $0.60 per million input tokens and $2.40 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of minimax/minimax-m2.7-highspeed?
minimax/minimax-m2.7-highspeed has a context window of 205K tokens. That's roughly 273 words of input you can fit in a single prompt.
What can minimax/minimax-m2.7-highspeed do?
minimax/minimax-m2.7-highspeed supports tool calling, extended reasoning. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use minimax/minimax-m2.7-highspeed with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/minimax/minimax-m2.7-highspeed". The Quickstart above shows Python, JavaScript and cURL snippets.

Access minimax/minimax-m2.7-highspeed through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.

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