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minimax-m2.5

AWS Bedrock/@eu-north-1/chat

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.More

Which id to call

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

This exact deployment on AWS Bedrock in eu-north-1, with no routing and no failover. Send it as the model field.

Input /1M

$0.36

AWS Bedrock

Output /1M

$1.44

4.0x input

Context

128K

16K output

Added

Feb 2026

chat

Capabilities 3/8

VisionReasoningTool callingCachingWeb searchJSON schemaComputer useImage generation

Provider rates

What minimax-m2.5 costs

Provider prices per 1M tokens, updated August 27, 2026.more

These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.

Input /1M

$0.36

Output /1M

$1.44

Cache write /1M

-

Cache read /1M

-

What a workload costs

100K input + 10K output
$0.0504
1M input + 100K output
$0.50
10M input + 1M output
$5.04

At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.

OpenAI compatible

Call it in three lines

Change the base url, use your Requesty key, set the model to bedrock/minimax-m2.5@eu-north-1. Existing OpenAI SDK code needs no other edit.

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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)

Reference

Specs and data terms

What the catalog reports for this deployment, and what the provider does with the traffic.

Context window128K tokens
Max output16K tokens
API typechat
AddedFeb 2026
Model id
Data retentionNone
Used for trainingNo
Served from🇪🇺 EU
Privacy policyAWS Privacy Notice

Released 2026-02-12

Benchmark scores

Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.

GPQA Diamondreasoning
84.8%

Graduate-level physics, chemistry & biology questions designed to resist Googling.

Intelligence Indexreasoning
34.5%

Artificial Analysis Intelligence Index: a composite of multiple evaluations measuring overall model capability.

Scores from official model cards, Artificial Analysis and public leaderboards. They measure specific skills and do not capture every aspect of model quality, so test on your own workload.

Same provider

More from AWS Bedrock

Newest first, on the same provider and the same key.

Reference

minimax-m2.5 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. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.

What is the context window of minimax-m2.5?

minimax-m2.5 has a context window of 128K tokens, with a maximum output of 16K tokens per response. That's roughly 171 words of input you can fit in a single prompt.

How does minimax-m2.5 perform on benchmarks?

minimax-m2.5 scores 95.3% on τ²-Bench, 84.8% on GPQA Diamond, 42.6% on SciCode. See the full benchmark chart above for results across MMLU Pro, GPQA Diamond, SWE-Bench Verified, HumanEval, MATH, AIME, MMMU, and LiveBench.

What can minimax-m2.5 do?

minimax-m2.5 supports tool calling, extended reasoning, structured outputs (JSON schema). 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.

Can I run minimax-m2.5 through Requesty?

Yes. minimax-m2.5 runs through Requesty's OpenAI-compatible API, served from AWS Bedrock in eu-north-1. You do not host the model yourself: point base_url at Requesty, set the model to "bedrock/minimax-m2.5@eu-north-1", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

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.

Call minimax-m2.5 through one endpoint

One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.

All AWS Bedrock models