Xiaomi cuts MiMo-V2.5 API pricing by up to 99% and flattens context tiers
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🚀 Better inference efficiency, lower costs, broader access. MiMo-V2.5 Series API pricing is now permanently reduced — by up to 99% compared to previous pricing. ✨ Unified pricing across all context lengths. MiMo Token Plans have also been upgraded: • 5–8× more usable tokens at the same price • Simpler and more transparent billing rules 🎁 As a thank-you to current users, all current Token Plan credits will be fully reset. 🎧 MiMo-V2.5-TTS remains free for a limited time. ⏰ Effective May 26 at 6:00 PM PDT. These improvements are powered by continued inference optimization and serving efficiency upgrades across the MiMo stack. 🛠️ We’ll also publish a detailed technical blog on the inference optimizations later — stay tuned.
🎉 The Xiaomi MiMo 100T Token Grant for Builders Program has officially concluded. Since launch on April 28, developers around the world have claimed all 100 trillion tokens ahead of schedule. 🛠️ Thanks to everyone building with MiMo! The Apache Software Foundation committers benefit program will remain available long-term and is not affected by this conclusion. 🎁 More updates for previous Token Plan subscribers will be announced next week.
Context
Xiaomi's MiMo lab cut MiMo-V2.5 API pricing by what it describes as up to 99 percent compared to previous rates, effective May 26, 2026 at 6pm PDT, and replaced separate pricing tiers for different lengths with one flat rate across all of them.
Existing Plan subscribers had their credits fully reset and, per Xiaomi, now get 5 to 8 times more usable tokens at the same subscription price. In the same post, the company closed out its 100-trillion-token builder grant program, which launched April 28 and reached its full allocation ahead of schedule, while noting a separate Apache Software Foundation committer benefit continues unaffected.
- context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
- token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
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