Minimax Text 01

Minimax Text 01

An open-source language model with 456 billion parameters launched by MiniMax, which uses the linear attention mechanism and MoE architecture, supports the processing of ultra-long contexts of 4 million tokens, and has only 1/3 of the performance degradation of GPT-4o during inference.

An open-source language model with 456 billion parameters launched by MiniMax, which uses the linear attention mechanism and MoE architecture, supports the processing of ultra-long contexts of 4 million tokens, and has only 1/3 of the performance degradation of GPT-4o during inference.

Intelligence(Relatively Weak)

Speed(Slow)

Input Supported Modalities

No

Is Reasoning Model

4,000,000

Context Window

0

Maximum Output Tokens

-

Knowledge Cutoff

Pricing

￥1 /M tokens

Input

￥8 /M tokens

Output

￥3.06 /M tokens

Blended Price

Quick Simple Comparison

MiniMax-Text-01

MiniMax-Text-01

￥0.14

Basic Parameters

GPT-4.1 Technical Parameters

Parameter Count

Not Announced

Context Length

4.0M tokens

Training Data Cutoff

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text Only

Throughput

0

Release Date

2025-01-14

Response Speed

33.185,066 tokens/s

Benchmark Scores

Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

4023

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

2483

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

-

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

MMLU Pro

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

75.9

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

57.8

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

HLE

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

4.2

The model's comprehensive average score on the Hugging Face Open LLM Leaderboard

LiveCodeBench

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

24.7

Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems

SciCode

The model's capability in code generation for scientific computing or specific scientific domains

25

The model's capability in code generation for scientific computing or specific scientific domains

HumanEval

Score achieved by the AI model on the specific HumanEval benchmark test set

86.3

Score achieved by the AI model on the specific HumanEval benchmark test set

Math 500 Score

Score on the first 500 larger, more well-known mathematical benchmark tests

75.3

Score on the first 500 larger, more well-known mathematical benchmark tests

AIME Score

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

13

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

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