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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

Side by side

MiniMax M1 80K compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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MiniMax M1 80KMiniMaxThis modelMiniMax LatestMiniMaxRemove
ProviderMiniMaxMiniMax
Discovery tierBalancedOpen weights
AddedJan 8, 2025May 3, 2026
Limits
Context window1MBest512K
Max output131.07KBest80K
Pricing, USD per 1M tokens
Input$0.61$0.23Best
Output$2.42$0.96Best
Cache read—$0.05
Performance
Throughput—167.7 tok/s
Time to first token—1.2 s
Request success (24h)—99.9%
Benchmark indexes
Intelligence Index11.729.2Best
Coding Index—58.6
Math Index61.0—
Capabilities
ReasoningNoYes
ToolsNoYes
VisionNoYes
Structured outputNoYes
Reasoning effort——

Public evaluations

Benchmarks

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

  • MiniMax M1 80K
  • MiniMax Latest

Intelligence Index

  • MiniMax M1 80K11.7
  • MiniMax Latest29.2

MiniMax M1 80K: Better than 26% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • MiniMax M1 80K: —
    • MiniMax Latest: 58.6

  • Math Index

    Composite of the math evaluations

    • MiniMax M1 80K: 61.0
    • MiniMax Latest: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • MiniMax M1 80K: —
    • MiniMax Latest: 21.3%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • MiniMax M1 80K: —
    • MiniMax Latest: 4.4%

  • Harvey LAB-AAv1.1

    Legal tasks passed in full, with no material hallucination

    • MiniMax M1 80K: —
    • MiniMax Latest: 0.0%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • MiniMax M1 80K: —
    • MiniMax Latest: 1,089 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • MiniMax M1 80K: —
    • MiniMax Latest: 1,243 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • MiniMax M1 80K: —
    • MiniMax Latest: 9.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • MiniMax M1 80K: 57.7%
    • MiniMax Latest: 83.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • MiniMax M1 80K: —
    • MiniMax Latest: 4.4%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiniMax M1 80K: 8.9%
    • MiniMax Latest: 39.0%Top

  • GPQA Diamond

    Graduate-level science questions

    • MiniMax M1 80K: 69.7%
    • MiniMax Latest: 92.9%Top

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • MiniMax M1 80K: 81.6%
    • MiniMax Latest: —

  • IFBench

    Following precise output instructions

    • MiniMax M1 80K: 41.8%
    • MiniMax Latest: 82.9%Top

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • MiniMax M1 80K: —
    • MiniMax Latest: 2.0%

  • SciCode

    Scientific computing in Python

    • MiniMax M1 80K: —
    • MiniMax Latest: 47.1%

  • LiveCodeBench

    Recent competitive programming problems

    • MiniMax M1 80K: 71.1%
    • MiniMax Latest: —

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • MiniMax M1 80K: 61.0%
    • MiniMax Latest: —

  • AIME

    Competition mathematics

    • MiniMax M1 80K: 84.7%
    • MiniMax Latest: —

  • MATH-500

    Competition math problems

    • MiniMax M1 80K: 98.0%
    • MiniMax Latest: —

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiniMax M1 80K: 3.0%
    • MiniMax Latest: 42.4%Top

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiniMax M1 80K: 34.2%
    • MiniMax Latest: 88.9%Top

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiniMax M1 80K: 57.7%
    • MiniMax Latest: 83.0%Top

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)

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