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minimax-m2.5Inceptron AB

in /1M$0.28input tokens
out /1M$1.10output tokens
context197K197K out
trainingnoon your prompts
api
chat
hosting
EU
model lab
MiniMax
weights
open
added
February 2026
model id
inceptron/minimax-m2.5

capabilities 4/8

visionreasoningtoolscachingweb searchjson schemacomputer useimage gen

4 providers serve minimax-m2.5. This page is one of them. Compare all endpoints

pricing

no markup
input
$0.28
output
$1.10
cache write
-
cache read
$0.03

worked cost

Estimated cost for three request volumes
volumecost
100K in + 10K out$0.0390
1M in + 100K out$0.39
10M in + 1M out$3.90

Requesty charges what the upstream provider charges, with no markup and no per-request fee. Prompt caching and smart routing cut the effective cost further on repeated context. Gateway pricing

provider price, passed throughper 1M tokens

measured

through Sep 12

no measured traffic for this endpoint yet. pricing above is the provider's own

benchmarks

artificial analysis
Benchmark scores, each normalised to 100
evalScore as a share of 100/100
τ²-Bench95.3
GPQA Diamond84.8
Terminal-Bench Hard34.8
Intelligence Index22.8
Humanity's Last Exam20.5
5 evalsmean51.6

Scores from Artificial Analysis and public leaderboards, normalised to 100. Bar colour is the band, not the rank: green 80 and up, blue 55 and up, amber 30 and up. Benchmarks measure narrow skills, so test on your own workload before committing. Released 2026-02-12.

policy

data terms
retention
none
trains on prompts
no
hosted in
EU

Terms are the provider's, not Requesty's: routing a request here puts it under them. Inceptron Privacy Policy

Need every request to stay in one jurisdiction? EU hosting routes only through EU-hosted providers.

quickstart

openai compatible
inceptron/minimax-m2.5

this id pins the inceptron ab deployment, with no routing and no failover. the managed id on the canonical page routes across all 4 providers instead

main.py
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)

Change the base url to https://router.requesty.ai/v1, use your Requesty key, set the model to the id above. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog. Browse all models

notes

reference

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.

questions 6

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 is roughly 262 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, 34.8% on Terminal-Bench Hard. The benchmarks pane shows every published result, each normalised to 100.
What can minimax-m2.5 do?
minimax-m2.5 supports tool calling, extended reasoning, prompt caching, 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 "inceptron/minimax-m2.5". The quickstart pane 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 Inceptron AB. You do not host the model yourself: point base_url at Requesty, set the model to "inceptron/minimax-m2.5", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.

more from inceptron ab 3

Other Inceptron AB endpoints
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glm-5.21M$1.20
kimi-k2.7-Code256K$0.75
kimi-k2.6262K$0.80

call minimax-m2.5 through one endpoint

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

minimax-m2.5inceptron abin $0.28 /1Mout $1.10 /1Mctx 197Khosted EU4 providers serve this model