MiniMax: MiniMax M1
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
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
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does MiniMax: MiniMax M1 stack up?
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Model Information
| OpenRouter ID |
minimax/minimax-m1
|
| Provider | minimax |
| Release Date | June 17, 2025 |
| Context Length | 1,000,000 tokens |
| Max Completion | 40,000 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.
Leaderboard Categories
External Resources
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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.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 11, 2026 8:38 pm