MiniMax: MiniMax M2.1
Analysis Summary
MiniMax M2.1 is a text model with a 204K context window, tool use, and function calling. Its measured intelligence is limited, and the supplied data does not include coding, agentic, or instruction-following benchmarks. The long context and tool support are practical features, but they do not establish high reliability on complex tasks.
For an agency, it may suit routine text processing, document-based question answering, or bounded tool workflows where outputs are checked. The listed prices are moderate, so it could be tested as a volume option if its quality meets the specific task threshold. It is not supported here as a preferred model for demanding software engineering or autonomous agents.
Pilot it on repeatable, low-risk work and measure accuracy and tool-call success before scaling. Escalate ambiguous or consequential cases to a stronger, benchmarked model.
Assessed September 23, 2026
Editorial notes
MiniMax M2.1 provides tool and function calling, a 204K context, and moderate API pricing; its measured intelligence is limited, with no supplied coding or agentic benchmarks to establish specialist strength.
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 M2.1 provides tool and function calling, a 204K context, and moderate API pricing; its measured intelligence is limited, with no supplied coding or agentic benchmarks to establish specialist strength.
Benchmarks
Artificial Analysis data refreshed Oct 12, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
Artificial Analysis has not published coding or agentic results for MiniMax: MiniMax M2.1 yet. Until it does, the model sits below tested models on the Coding and AI Agents lists.
How MiniMax: MiniMax M2.1 compares
MiniMax: MiniMax M2.1 ranks #119 of 436 AI models we track for overall intelligence. Its 205K-token context window is larger than 58% of the models we list. At $0.30 per million input tokens it is cheaper than 43% 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 | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
What would MiniMax: MiniMax M2.1 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 698 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MiniMax: MiniMax M2.1 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M2.1
MiniMax-M2.1 is a lightweight, state-of-the-art large language model optimized for coding, agentic workflows, and modern application development. With only 10 billion activated parameters, it delivers a major jump in real-world..
Frequently asked questions about MiniMax: MiniMax M2.1
How much does MiniMax: MiniMax M2.1 cost?
MiniMax: MiniMax M2.1 costs $0.30 per million input tokens and $1.20 per million output tokens.
What is the context window of MiniMax: MiniMax M2.1?
MiniMax: MiniMax M2.1 has a context window of 204,800 tokens (205K).
What can MiniMax: MiniMax M2.1 do?
MiniMax: MiniMax M2.1 supports tool use and function calling.
Who created MiniMax: MiniMax M2.1?
MiniMax: MiniMax M2.1 is developed by MiniMax and was released on December 23, 2025.