NOUMENOpen app
NOUMEN

MiniMax · Efficient

MiniMax 01

Added Jan 1, 2024

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

Use in the app

MiniMax's flagship model with a 1M token context window

  • PDF input
Input
Text
Output
Text
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.14
Output
$1.12

Reference prices as published by the model provider. API example

Specifications

Context window
1M
Max output
16.4K

Side by side

MiniMax 01 compared

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

Compare models

Choose up to 3 models to compare.1 of 3 chosen

Loading models…

MiniMax 01MiniMaxThis modelMiniMax M2.1MiniMaxRemove
ProviderMiniMaxMiniMax
Discovery tierEfficientOpen weights
AddedJan 1, 2024Jan 20, 2025
Limits
Context window1MBest200K
Max output16.38K131.07KBest
Average output—359 tokens
Pricing, USD per 1M tokens
Input$0.14Best$0.30
Output$1.12Best$1.20
Cache read—$0.03
Benchmark indexes
Intelligence Index—20.9
Math Index—82.7
Capabilities
ReasoningNoYes
ToolsNoYes
Structured outputNoYes
PDF inputYesNo
Reasoning effort——

Public evaluations

Benchmarks

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

  • MiniMax 01
  • MiniMax M2.1

Intelligence Index

  • MiniMax 01—
  • MiniMax M2.120.9
3.8Catalog models by score55.1

Indexes

  • Math Index

    Composite of the math evaluations

    • MiniMax 01: —
    • MiniMax M2.1: 82.7

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • MiniMax 01: —
    • MiniMax M2.1: 67.7%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiniMax 01: —
    • MiniMax M2.1: 23.2%

  • GPQA Diamond

    Graduate-level science questions

    • MiniMax 01: —
    • MiniMax M2.1: 83.0%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • MiniMax 01: —
    • MiniMax M2.1: 87.5%

  • IFBench

    Following precise output instructions

    • MiniMax 01: —
    • MiniMax M2.1: 69.9%

Coding

  • LiveCodeBench

    Recent competitive programming problems

    • MiniMax 01: —
    • MiniMax M2.1: 81.0%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • MiniMax 01: —
    • MiniMax M2.1: 82.7%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiniMax 01: —
    • MiniMax M2.1: 28.8%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiniMax 01: —
    • MiniMax M2.1: 85.4%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiniMax 01: —
    • MiniMax M2.1: 67.7%

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": "minimax/minimax-01",
    "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-01",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

MiniMax

Other MiniMax models, starting with the same family.