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MiniMax · Balanced

MiniMax M1 80K

Added Jan 8, 2025

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Use in the app

MiniMax-M1 with 80K thinking budget. Enhanced version of the hybrid MoE reasoning model with double the thinking capacity. Ideal for extremely complex software engineering, tool use, and long context tasks.

Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.61
Output
$2.42

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
131.1K

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TryGPT 5.4 NanoQwen 3 Coder 480BMistral Small 4 119B ThinkingAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

11.7

Better than 26% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    61.0

    Composite of the math evaluations

    Better than 63% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    57.7%

    Reasoning across long documents

    Better than 36% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    8.9%

    Expert-level questions across academic fields

    Better than 29% of 323 scored models

  • GPQA Diamond

    69.7%

    Graduate-level science questions

    Better than 29% of 291 scored models

  • MMLU-Pro

    81.6%

    Multi-subject knowledge and reasoning

    Better than 62% of 132 scored models

  • IFBench

    41.8%

    Following precise output instructions

    Better than 33% of 215 scored models

Coding

  • LiveCodeBench

    71.1%

    Recent competitive programming problems

    Better than 71% of 129 scored models

Math

  • AIME 2025

    61.0%

    Competition mathematics, 2025 problems

    Better than 63% of 118 scored models

  • AIME

    84.7%

    Competition mathematics

    Better than 81% of 72 scored models

  • MATH-500

    98.0%

    Competition math problems

    Better than 90% of 73 scored models

Legacy evaluations

  • Terminal-Bench Hard

    3.0%

    Earlier terminal task suite

    Better than 6% of 212 scored models

  • τ²-Bench Telecom

    34.2%

    Tool use in a customer-support simulation

    Better than 27% of 214 scored models

  • AA-LCR (unversioned)

    57.7%

    Long-context reasoning, earlier grading

    Better than 36% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMaxAI/MiniMax-M1-80k",
    "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="MiniMaxAI/MiniMax-M1-80k",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

MiniMax

Other MiniMax models, starting with the same family.