Analysis Summary
MiniMax M2.5 is a text-only model with a strong agentic score and solid tool-use reliability, backed by decent instruction-following and long-context results. Its 204K context window and aggressive pricing make it one of the cheaper options with genuine agentic capability.
That combination fits high-volume automation, customer support bots, and multi-step task orchestration where cost per call matters more than frontier reasoning depth. It lacks vision support and detailed coding benchmarks, so it's a weaker fit for multimodal or heavy software-engineering work.
For businesses running large volumes of agentic or tool-calling workloads on a budget, M2.5 is a practical, low-cost choice; those needing image understanding or top coding accuracy should look elsewhere.
Assessed July 10, 2026
Editorial notes
MiniMax M2.5 offers strong agentic performance and reliable tool use at a low price point, though it lacks vision and its coding benchmarks are thinner than top peers.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2.5 offers strong agentic performance and reliable tool use at a low price point, though it lacks vision and its coding benchmarks are thinner than top peers.
How MiniMax: MiniMax M2.5 compares
MiniMax: MiniMax M2.5 ranks #64 of 393 AI models we track for overall intelligence, #32 of 300 for agentic tasks. Its 205K-token context window is larger than 65% of the models we list. At $0.15 per million input tokens it is cheaper than 58% 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 | $0.15 | $0.000150 |
| Output | $0.90 | $0.000900 |
What would MiniMax: MiniMax M2.5 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 M2.5 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M2.5
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1..
Explore Related Models
Embed this ranking
Writing about this model? Add the badge to your site. It always shows the current rank and score, and links back to this page.
<a href="https://designforonline.com/ai-models/minimax-minimax-m2-5/"><img src="https://designforonline.com/?aiml_badge=minimax-minimax-m2-5&theme=dark" alt="MiniMax: MiniMax M2.5, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/minimax-minimax-m2-5/"><img src="https://designforonline.com/?aiml_badge=minimax-minimax-m2-5&theme=light" alt="MiniMax: MiniMax M2.5, ranked #9 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about MiniMax: MiniMax M2.5
How much does MiniMax: MiniMax M2.5 cost?
MiniMax: MiniMax M2.5 costs $0.15 per million input tokens and $0.90 per million output tokens.
What is the context window of MiniMax: MiniMax M2.5?
MiniMax: MiniMax M2.5 has a context window of 204,800 tokens (205K).
What can MiniMax: MiniMax M2.5 do?
MiniMax: MiniMax M2.5 supports tool use and function calling.
Who created MiniMax: MiniMax M2.5?
MiniMax: MiniMax M2.5 is developed by MiniMax and was released on February 12, 2026.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 8:38 pm