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MiniMax · Efficient

MiniMax 01

Added Jan 1, 2024

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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.

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MiniMax 01MiniMaxThis modelMiniMax M2.5MiniMaxRemove
ProviderMiniMaxMiniMax
Discovery tierEfficientOpen weights
AddedJan 1, 2024Feb 12, 2026
Limits
Context window1MBest204.8K
Max output16.38K131.07KBest
Average output—653 tokens
Pricing, USD per 1M tokens
Input$0.14Best$0.27
Output$1.12$1.08Best
Cache read—$0.027
Performance
Throughput—110.4 tok/s
Time to first token—1.8 s
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—22.8
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 M2.5

Intelligence Index

  • MiniMax 01—
  • MiniMax M2.522.8
3.8Catalog models by score55.1

Document reasoning

  • AA-LCRv1.1

    Reasoning across long documents

    • MiniMax 01: —
    • MiniMax M2.5: 73.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • MiniMax 01: —
    • MiniMax M2.5: 20.5%
  • GPQA Diamond

    Graduate-level science questions

    • MiniMax 01: —
    • MiniMax M2.5: 84.8%
  • IFBench

    Following precise output instructions

    • MiniMax 01: —
    • MiniMax M2.5: 71.6%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • MiniMax 01: —
    • MiniMax M2.5: 34.8%
  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • MiniMax 01: —
    • MiniMax M2.5: 95.3%
  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • MiniMax 01: —
    • MiniMax M2.5: 73.3%

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

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