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minimax-m2.5

MiniMax M2.5 is MiniMax's latest large language model, delivering strong performance across reasoning, coding, and tool use with improved efficiency for production workloads.

🧠Reasoning🔧Tool calling
Try minimax-m2.5CompareDocs

Specifications

Context window196K tokens
Max output16K tokens
API typechat
AddedMay 29, 2026
Model IDbedrock/minimax-m2.5@eu-north-1
Data retentionNo
Used for trainingNo
Provider location🇺🇸 US / 🇪🇺 EU
Privacy policyAWS Privacy Notice→

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 AWS Bedrock models overview.

Pricing

Input / 1M
$0.36
Output / 1M
$1.44
Cache write
—
Cache read
—
Estimated cost
100K input + 10K output$0.0504
1M input + 100K output$0.50
10M input + 1M output$5.04

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 bedrock/minimax-m2.5@eu-north-1.

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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="bedrock/minimax-m2.5@eu-north-1",
    messages=[
        {"role": "user", "content": "Explain quantum computing in one paragraph."},
    ],
)

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

Other AWS Bedrock models

minimax-m2.5
@us-west-2
196K ctx$0.30/1M
minimax-m2.5
@us-east-2
196K ctx$0.30/1M
minimax-m2.5
@us-east-1
196K ctx$0.30/1M
minimax-m2.5
@eu-south-1
196K ctx$0.36/1M
minimax-m2.5
@eu-central-1
196K ctx$0.36/1M
minimax-m2.5
@eu-west-1
196K ctx$0.36/1M

Frequently asked questions

How much does minimax-m2.5 cost?
minimax-m2.5 is priced at $0.36 per million input tokens and $1.44 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-m2.5?
minimax-m2.5 has a context window of 196K tokens, with a maximum output of 16K tokens per response. That's roughly 261 words of input you can fit in a single prompt.
What can minimax-m2.5 do?
minimax-m2.5 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-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 "bedrock/minimax-m2.5@eu-north-1". The Quickstart above shows Python, JavaScript and cURL snippets.
What region is this deployment?
This variant of minimax-m2.5 is deployed in eu-north-1. Region-specific endpoints matter for data residency, latency to your users, and compliance requirements (GDPR, HIPAA). Other regions for the same model may be listed on the AWS Bedrock provider page.

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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