MiMo-V2.6-Pro Is Now Available on DeepInfra
Blog post from Deepinfra
DeepInfra has made Xiaomi’s MiMo-V2.6-Pro available through its OpenAI-compatible inference API, positioning the MIT-licensed model for long-running coding, security, and multimodal agent workflows. The sparse mixture-of-experts model has 1.02 trillion total parameters but activates 42 billion per pass, supports text, image, video, and audio, and offers a one-million-token context window. Xiaomi attributes major gains over MiMo-V2.5-Pro to a mixed-domain reinforcement-learning approach called “You Only RL Once,” along with agentic grading and speculative decoding; its reported results show especially large improvements on DeepSWE, AutomationBench, CyberGym, and other agent-oriented evaluations, while results remain behind some competing models on ExploitBench and Terminal Bench. DeepInfra offers standard and faster UltraSpeed serving modes, charges $0.435 per million uncached input tokens and $0.87 per million output tokens, and highlights prompt caching, private deployments, zero data retention, and SOC 2 and ISO 27001 certifications for production users.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Model Fine-tuning | 1 | 6 | 3 | 2 | -99% |
| LLM | 1 | 83 | 19 | 14 | -99% |
| Real-time | 1 | 24 | 13 | 11 | -99% |
| Vector Search | 1 | 4 | 4 | 4 | -100% |
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