MiniMax: MiniMax M1
Analysis Summary
MiniMax M1 is a text model with a one-million-token context window, tool use, and function calling. Its coding benchmark result is stronger than its overall intelligence index suggests, while the supplied agentic score and terminal-task result are weak. Listed pricing is $0.40 per million input tokens and $2.20 per million output tokens, placing it above the cheapest options in this batch.
The long context and coding result make it worth testing for code or document analysis where a large working context is valuable. The weaker agentic and terminal evidence argues against deploying it as an autonomous software agent without close supervision. Its instruction-following result also gives teams reason to validate output consistency before using it for customer-facing content.
A targeted pilot is appropriate for long-context analysis and coding support. Keep human review in workflows that require reliable tool execution.
Assessed September 23, 2026
Editorial notes
MiniMax M1 pairs a one-million-token context with tool use and strong coding benchmark results, but its measured agentic and terminal-task performance is much weaker.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
MiniMax M1 pairs a one-million-token context with tool use and strong coding benchmark results, but its measured agentic and terminal-task performance is much weaker.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
Artificial Analysis no longer lists this model, so its indexes are converted from their older scale to stay comparable.
How MiniMax: MiniMax M1 compares
MiniMax: MiniMax M1 ranks #193 of 435 AI models we track for overall intelligence, #91 of 181 for agentic tasks. Its 1M-token context window is larger than 86% of the models we list. At $0.55 per million input tokens it is cheaper than 32% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.55 | $0.000550 |
| Output | $2.20 | $0.002200 |
What would MiniMax: MiniMax M1 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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We route routine calls to cheap models and save MiniMax: MiniMax M1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout 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..
Frequently asked questions about MiniMax: MiniMax M1
How much does MiniMax: MiniMax M1 cost?
MiniMax: MiniMax M1 costs $0.55 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.