MiniMax: MiniMax M2
Analysis Summary
MiniMax M2 is a cost-focused text model with a 204.8K context window and strong results in coding, tool use, instruction following, and long-context tasks. Function calling supports structured integrations, while its low input and output prices make repeated agentic or engineering calls practical. The model is particularly well positioned for work that benefits from reliable execution rather than purely conversational breadth.
It suits software maintenance, code generation, SEO production, structured content, document analysis, and tool-connected automation. The high tool-use result is useful for agent workflows, although its general reasoning index remains below premium models and it lacks vision support. Complex strategy and multimodal tasks would need a different model.
Adopt MiniMax M2 as a value-oriented coding and agent specialist for validated, high-volume workflows.
Assessed August 9, 2026
Editorial notes
MiniMax M2 combines strong coding, tool-use, function-calling, long-context, and instruction-following results with a 204.8K context window and low pricing. Its general reasoning is below flagship systems, but it is a capable value specialist.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2 combines strong coding, tool-use, function-calling, long-context, and instruction-following results with a 204.8K context window and low pricing. Its general reasoning is below flagship systems, but it is a capable value specialist.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
28.9 Intelligence Index·78.3 Math Index
How MiniMax: MiniMax M2 compares
MiniMax: MiniMax M2 ranks #132 of 427 AI models we track for overall intelligence. Its 205K-token context window is larger than 58% of the models we list. At $0.26 per million input tokens it is cheaper than 50% 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.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.26 | $0.000255 |
| Output | $1.02 | $0.001020 |
What would MiniMax: MiniMax M2 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 713 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MiniMax: MiniMax M2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,..
Frequently asked questions about MiniMax: MiniMax M2
How much does MiniMax: MiniMax M2 cost?
MiniMax: MiniMax M2 costs $0.26 per million input tokens and $1.02 per million output tokens.
What is the context window of MiniMax: MiniMax M2?
MiniMax: MiniMax M2 has a context window of 204,800 tokens (205K).
What can MiniMax: MiniMax M2 do?
MiniMax: MiniMax M2 supports tool use and function calling.
Who created MiniMax: MiniMax M2?
MiniMax: MiniMax M2 is developed by MiniMax and was released on October 23, 2025.