MiniMax: MiniMax M1

MiniMax: MiniMax M1

minimax · Released Jun 17, 2025 Professional
Intelligence #12 / 606
82.0 Our Score
AA Index #164 / 391
17.7 Artificial Analysis
Input #368 / 607
$0.400 per 1M tokens
Output #417 / 607
$2.20 per 1M tokens
Context #58 / 607
1M tokens

Analysis Summary

MiniMax M1 is a large-context model from MiniMax with a 1 million token window, tool use, and function calling support. Its math benchmarks are strong for its tier, and the pricing is competitive at $0.40 input and $2.20 output per million tokens. The intelligence and agentic scores, however, place it well below the current frontier.

For businesses, M1 suits long-document analysis, summarisation over large corpora, and content workflows where context depth matters more than raw reasoning power. The lack of vision support limits its use in multimodal pipelines, and its agentic reliability is modest compared to leading alternatives.

At this price point and context scale, M1 is a reasonable choice for high-volume, long-context text tasks where cost efficiency is a priority over frontier-level reasoning.

Assessed July 10, 2026

Editorial notes

MiniMax M1 pairs a 1M token context window with tool use and function calling at competitive pricing, though its intelligence and agentic benchmarks sit well below the current frontier.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

Performance Profile

Intelligence3.4Technical2.7Value7.8Content5.5
Intelligence 3.4/10
Technical 2.7/10
Content 5.5/10
Value 7.8/10

How MiniMax: MiniMax M1 compares

MiniMax: MiniMax M1 ranks #164 of 391 AI models we track for overall intelligence, #194 of 296 for agentic tasks. Its 1M-token context window is larger than 90% of the models we list. At $0.40 per million input tokens it is cheaper than 39% of comparable models.

About MiniMax: MiniMax M1

MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it..

Capabilities

Tool Use Function Calling

Performance Indices

Source: Artificial Analysis

17.7 Intelligence Index
18.6 Agentic Index
61 Math Index

Benchmark Scores

Intelligence

GPQA Diamond 69.7% Graduate-level scientific reasoning
HLE 8.2% Humanity's Last Exam
MMLU Pro 81.6% Multi-task language understanding
MATH 500 98% Mathematical problem-solving
AIME 84.7% Competition mathematics
AIME 2025 61% Competition mathematics (2025)
SciCode 37.4% Scientific computing

Technical

LiveCodeBench 71.1% Live coding evaluation
TerminalBench Hard 3% Agentic terminal tasks
τ²-Bench 34.2% Conversational agent benchmark

Content

IFBench 41.8% Instruction following
LCR 54.3% Long-context reasoning

Benchmark data from Artificial Analysis and Hugging Face

How does MiniMax: MiniMax M1 stack up?

Compare side-by-side with other professional models.

Compare Models

Model Information

OpenRouter ID minimax/minimax-m1
Providerminimax
Release Date June 17, 2025
Context Length1,000,000 tokens
Max Completion40,000 tokens
Status Active

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.40 $0.000400
Output $2.20 $0.002200

Live Performance

Live endpoint metrics, refreshed every 30 minutes.

1,082ms
Best Latency (TTFT)
15 tok/s
Best Throughput
0/2
Active Endpoints
Available via: Minimax, Novita

Leaderboard Categories

Frequently asked questions about MiniMax: MiniMax M1

How much does MiniMax: MiniMax M1 cost?

MiniMax: MiniMax M1 costs $0.40 per million input tokens and $2.20 per million output tokens.

What is the context window of MiniMax: MiniMax M1?

MiniMax: MiniMax M1 has a context window of 1,000,000 tokens (1M).

What can MiniMax: MiniMax M1 do?

MiniMax: MiniMax M1 supports tool use and function calling.

Who created MiniMax: MiniMax M1?

MiniMax: MiniMax M1 is developed by MiniMax and was released on June 17, 2025.