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Xiaomi Slashes Maimo V2.5 AI Prices by 99% Permanently — What It Means for AI Agents & Business
The script explains that Xiaomi permanently cut Maimo V2.5 API pricing by up to 99%, with cash-hit input dropping to $0.0036 per million tokens and output falling dramatically (e.g., Maimo V2.5 Pro output from $6 to about $0.087 per million), while performance is highlighted as multimodal and fast at roughly 57 tokens/second, similar token costs to DeepSeek but faster. It frames this as part of a broader pattern after DeepSeek made a permanent discount the prior week, arguing the near-zero token “fuel” cost will accelerate AI agent adoption for business workflows like lead gen, SEO, customer responses, and automation via Jevons paradox. The script notes real concerns around trust and data privacy, suggests testing on real tasks, and promotes an “AI Profit Board”/agent operating system with coaching and resources to implement model-swappable workflows.
00:00 Xiaomi Drops Prices
00:48 A Bigger Price War
01:24 The New Token Math
02:18 Why Businesses Benefit
03:45 Jevons Paradox Explained
04:01 Quality and Privacy Concerns
05:23 China Forces Western Response
06:07 Build Agent Workflows Pitch
06:54 Tokens Become Infrastructure
08:19 Real Workflow Examples
09:13 Model Mixing Strategy
10:12 Test Before You Commit
10:56 How to Trial Maimo
11:27 Inference Costs Keep Falling
12:51 Boardroom Framework Pitch
13:53 Wrap Up and Takeaways
The script explains that Xiaomi permanently cut Maimo V2.5 API pricing by up to 99%, with cash-hit input dropping to $0.0036 per million tokens and output falling dramatically (e.g., Maimo V2.5 Pro output from $6 to about $0.087 per million), while performance is highlighted as multimodal and fast at roughly 57 tokens/second, similar token costs to DeepSeek but faster. It frames this as part of a broader pattern after DeepSeek made a permanent discount the prior week, arguing the near-zero token “fuel” cost will accelerate AI agent adoption for business workflows like lead gen, SEO, customer responses, and automation via Jevons paradox. The script notes real concerns around trust and data privacy, suggests testing on real tasks, and promotes an “AI Profit Board”/agent operating system with coaching and resources to implement model-swappable workflows.
00:00 Xiaomi Drops Prices
00:48 A Bigger Price War
01:24 The New Token Math
02:18 Why Businesses Benefit
03:45 Jevons Paradox Explained
04:01 Quality and Privacy Concerns
05:23 China Forces Western Response
06:07 Build Agent Workflows Pitch
06:54 Tokens Become Infrastructure
08:19 Real Workflow Examples
09:13 Model Mixing Strategy
10:12 Test Before You Commit
10:56 How to Trial Maimo
11:27 Inference Costs Keep Falling
12:51 Boardroom Framework Pitch
13:53 Wrap Up and Takeaways
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