MiniMax · Open weights
MiniMax M2.5
MiniMax M2.5 is a productivity-focused flagship model that builds on M2.1 with stronger coding and real-world office workflow performance (Word, Excel, PowerPoint), plus better tool-use planning and token efficiency.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.27
- Output
- $1.08
- Cache read
- $0.027
Reference prices as published by the model provider. API example
Specifications
- Context window
- 204.8K
- Max output
- 131.1K
- Average output (7 days)
- 653 tokens
- Longer than 58% of 465 models
Side by side
Compare models
Put MiniMax M2.5 next to up to three other models. The comparison stays in the link, so you can share it.
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
Intelligence Index
22.8
Better than 55% of 326 scored models
Document reasoning
AA-LCRv1.1
73.3%Reasoning across long documents
Better than 55% of 309 scored models
Reasoning and knowledge
Humanity’s Last Exam
20.5%Expert-level questions across academic fields
Better than 48% of 323 scored models
GPQA Diamond
84.8%Graduate-level science questions
Better than 59% of 291 scored models
IFBench
71.6%Following precise output instructions
Better than 76% of 215 scored models
Legacy evaluations
Terminal-Bench Hard
34.8%Earlier terminal task suite
Better than 66% of 212 scored models
τ²-Bench Telecom
95.3%Tool use in a customer-support simulation
Better than 86% of 214 scored models
AA-LCR (unversioned)
73.3%Long-context reasoning, earlier grading
Better than 55% of 309 scored models
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Prompt cache hits
- 2.9%
- About $0.26 per 1M input tokens with caching
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2.5",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="minimax/minimax-m2.5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)MiniMax
Related models
Other MiniMax models, starting with the same family.