Everything about MiniMax-M2.1
MiniMax-M2.1 in numbers: price per token, context window, independent benchmark scores and comparable models, based on public data checked on October 22, 2026.
Data as of October 22, 2026
Key figures
| Developer | MiniMax |
|---|---|
| Released | December 23, 2025 |
| Context window | 204,800 tokens (≈ 307 pages) |
| Maximum output | 131,072 tokens |
| Input price | $0.30 per million tokens (median of 20 providers) |
| Output price | $1.2 per million tokens |
| Open weights | Yes |
| Reasoning mode | Yes |
| Tool calling | Yes |
| Structured output (JSON) | Not disclosed |
| Accepted inputs | text |
| Providers offering it | 20 |
Overview
Released on December 23, 2025, MiniMax-M2.1 is one of the 6 MiniMax models tracked on this site. Its weights are published: you can download it and run it on your own servers, or use one of the 20 API providers that list it on models.dev. It has a reasoning mode: it can "think" before answering, which helps with multi-step problems but uses more tokens, and therefore more money. That makes it 10 months old as of October 22, 2026.
We file it under open-weight models (68 models in this category on the site).
Measured performance
Epoch AI publishes a single result for MiniMax-M2.1 on our basket's benchmarks: too few to compute a reliable capability index.
- Terminal-Bench (agent tasks in a terminal): 36.6% — the best tracked model, GPT-5.5, reaches 84.7%
How much does MiniMax-M2.1 cost?
MiniMax-M2.1 costs $0.30 per million input tokens and $1.2 per million output tokens (median of 20 providers, checked on October 22, 2026).
To put it in perspective: reading 20,000 tokens (about thirty pages) and writing 2,000 costs roughly $0.008; a thousand of those tasks, $8.4.
That is 1.2 times the median output price of open-weight models ($1).
To estimate your own budget, use the agent cost calculator.
What it can do
Its context window reaches 204,800 tokens, roughly 307 pages of text at 500 words per page: enough for a long report or several contracts at once. A single answer can run to 131,072 tokens.
It accepts as input: text.
It can call tools (functions, APIs), which makes it a possible foundation for an AI agent.
The weights are published on Hugging Face (MiniMaxAI/MiniMax-M2.1). See also our list of open-source models.
What is it good for?
Given its category, MiniMax-M2.1 is mainly aimed at projects where you want control over your data or hosting, or want to adapt the model to your field.
Before adopting it, test it on your own examples: benchmarks measure standard tasks, not your job.
Comparable models
In the same category, the models closest to MiniMax-M2.1 are:
- MiniMax-M3 (MiniMax, index 55.5)
- Muse Glimmer 30B (Meta, $1.2 per million output tokens)
- MiniMax-M2.7 (MiniMax, $1.2 per million output tokens)
- Step 3.7 Flash (StepFun, $1.21 per million output tokens)
Independent benchmark scores
| Benchmark | What it measures | Score |
|---|---|---|
| Terminal-Bench | agent tasks in a terminal | 36.6% |
Similar models
- MiniMax-M3 · MiniMax · index 55.5
- Muse Glimmer 30B · Meta
- MiniMax-M2.7 · MiniMax
- Step 3.7 Flash · StepFun
Other MiniMax models
- MiniMax-M3.1-Flash · October 19, 2026
- MiniMax-M2.5 · February 12, 2026
- MiniMax-M2 · October 27, 2025
Frequently asked questions
How much does MiniMax-M2.1 cost?
As of October 22, 2026, MiniMax-M2.1 costs $0.30 per million input tokens and $1.2 per million output tokens (median of 20 providers). A task that reads 20,000 tokens and writes 2,000 costs about $0.008.
What is the context window of MiniMax-M2.1?
204,800 tokens, roughly 307 pages of text. An answer can reach 131,072 tokens.
Is MiniMax-M2.1 open source?
Its weights are published: you can install it on your own servers. Check the license before commercial use.
When was MiniMax-M2.1 released?
MiniMax-M2.1 was released on December 23, 2025, according to models.dev.
Can you build an agent with MiniMax-M2.1?
Yes: it can call tools, the two basic building blocks of an agent.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
- Epoch AI — Data on AI Models — Epoch AI, “Data on AI Models”, epoch.ai, CC BY 4.0
- Hugging Face Hub — Data: Hugging Face Hub
Data as of October 22, 2026
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