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MiniMaxAI/MiniMax-M2.5

MiniMax M2.5 is SOTA in coding, agentic tool use and search, office work, and a range of other economically valuable tasks, boasting scores of 80.2% in SWE-Bench Verified, 51.3% in Multi-SWE-Bench, and 76.3% in BrowseComp (with context management).

🧠Reasoning🔧Tool calling⚡Caching
Try MiniMaxAI/MiniMax-M2.5CompareDocs

Specifications

Context window197K tokens
Max output—
API typechat
AddedMay 27, 2026
Model IDdeepinfra/MiniMaxAI/MiniMax-M2.5
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US
Privacy policyDeepInfra 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 DeepInfra Inc. models overview.

Pricing

Input / 1M
$0.15
Output / 1M
$1.15
Cache write
—
Cache read / 1M
$0.03
Estimated cost
100K input + 10K output$0.0265
1M input + 100K output$0.27
10M input + 1M output$2.65

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 deepinfra/MiniMaxAI/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="deepinfra/MiniMaxAI/MiniMax-M2.5",
    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 MiniMaxAI/MiniMax-M2.5 cost?
MiniMaxAI/MiniMax-M2.5 is priced at $0.15 per million input tokens and $1.15 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 MiniMaxAI/MiniMax-M2.5?
MiniMaxAI/MiniMax-M2.5 has a context window of 197K tokens. That's roughly 262 words of input you can fit in a single prompt.
What can MiniMaxAI/MiniMax-M2.5 do?
MiniMaxAI/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 MiniMaxAI/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 "deepinfra/MiniMaxAI/MiniMax-M2.5". The Quickstart above shows Python, JavaScript and cURL snippets.

Access MiniMaxAI/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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