MiniMax: MiniMax M2.1
Analysis Summary
MiniMax M2.1 is a capable mid-tier model with an intelligence index in the good range and a strong agentic index of 57.1. Math, GPQA, and MMLU-Pro scores are all high, and its long-context reasoning (LCR) score of 0.59 is competitive. Tool use and function calling are supported across a 200K context window. The absence of a coding index is a gap for software engineering use cases.
For businesses, M2.1 is well suited to agentic workflows, structured analysis, and knowledge-intensive tasks. Its instruction-following score is solid, making it reliable for templated content and automated pipelines. The lack of a measured coding index means it should be tested before deployment in code-heavy environments.
At $0.30 input and $1.20 output per million tokens, it sits in a reasonable mid-market position. Teams needing a capable agentic model with strong reasoning at a moderate cost will find it a practical choice, particularly for non-coding automation and analytical workflows.
Assessed July 10, 2026
Editorial notes
MiniMax M2.1 delivers strong agentic performance, high math and science scores, and solid instruction following with tool use support, at a mid-range price; no coding index is available.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2.1 delivers strong agentic performance, high math and science scores, and solid instruction following with tool use support, at a mid-range price; no coding index is available.
How MiniMax: MiniMax M2.1 compares
MiniMax: MiniMax M2.1 ranks #82 of 393 AI models we track for overall intelligence, #59 of 300 for agentic tasks. Its 205K-token context window is larger than 65% of the models we list. At $0.30 per million input tokens it is cheaper than 45% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in content corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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 612 models ā 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..
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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.
