Requesty
Inceptron AB

minimax-m2.5

MiniMax M2.5 is a state of the art language model built for real world productivity and autonomous agent execution. Trained with large scale reinforcement learning across hundreds of thousands of complex digital environments, it delivers leading performance in coding, search, tool use, and professional office workflows, operating with significantly improved speed and token efficiency. Designed to plan like an architect and act with cost efficient precision, M2.5 extends beyond software development into finance, research, and enterprise grade office tasks, bringing high end agentic capability at a fraction of the typical frontier model cost.

🧠Reasoning🔧Tool calling⚡Caching
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Specifications

Context window197K tokens
Max output197K tokens
API typechat
AddedApr 29, 2026
Model IDinceptron/minimax-m2.5
Data retentionNo
Used for trainingNo
Provider location🇪🇺 EU (Sweden)
Privacy policyInceptron 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 Inceptron AB models overview.

Pricing

Input / 1M
$0.28
Output / 1M
$1.10
Cache write
—
Cache read / 1M
$0.03
Estimated cost
100K input + 10K output$0.0390
1M input + 100K output$0.39
10M input + 1M output$3.90

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 inceptron/minimax-m2.5.

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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="inceptron/minimax-m2.5",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other Inceptron AB models

kimi-k2.6
262K ctx$0.80/1M
glm-5.1
203K ctx$1.40/1M

Frequently asked questions

How much does minimax-m2.5 cost?
minimax-m2.5 is priced at $0.28 per million input tokens and $1.10 per million output tokens when accessed via Requesty. Prompt caching is supported, which can cut effective input cost by up to 90% on repeated context. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of minimax-m2.5?
minimax-m2.5 has a context window of 197K tokens, with a maximum output of 197K tokens per response. That's roughly 262 words of input you can fit in a single prompt.
What can minimax-m2.5 do?
minimax-m2.5 supports tool calling, extended reasoning, prompt caching. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use minimax-m2.5 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 "inceptron/minimax-m2.5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access minimax-m2.5 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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