Xiaomi

Xiaomi released MiMo-V2.5, a 310B total parameter sparse mixture-of-experts model that activates 15B parameters per token. The omnimodal model supports text, image, video, and audio understanding with a 1M token context window and was trained on 48T tokens using FP8 mixed precision.

Xiaomi has released MiMo-V2.5-Pro, an open-source Mixture-of-Experts model with 1.02 trillion total parameters and 42 billion active parameters. The model supports up to 1 million tokens context length and claims 99.6% on GSM8K and 86.2% on MATH benchmarks.

Xiaomi released MiMo-V2.5 on April 22, 2026, a native omnimodal model with a 1,048,576 token context window. The model is priced at $0.40 per million input tokens and $2 per million output tokens, positioning it as a cost-efficient alternative for agentic applications requiring multimodal perception across image and video understanding.

Xiaomi released MiMo-V2.5-Pro on April 22, 2026, its flagship model featuring a 1,048,576 token context window and pricing at $1 per million input tokens and $3 per million output tokens. According to Xiaomi, the model ranks highly on ClawEval, GDPVal, and SWE-bench Pro benchmarks, designed for autonomous completion of professional tasks requiring thousands of tool calls.

Xiaomi released MiMo-V2-Pro on March 18, 2026, a flagship foundation model with over 1 trillion total parameters and a 1,048,576 token context window. The model is priced at $1 per million input tokens and $3 per million output tokens, positioning it as an agent-focused system comparable to top-tier models.

Xiaomi shipped three AI models simultaneously designed to form a complete agent platform. MiMo-V2-Pro, a 1-trillion-parameter Mixture-of-Experts model with 42 billion active parameters per request, scores 78% on SWE-bench Verified and 81 points on ClawEval—nearly matching Claude Opus 4.6 while costing $1 per million input tokens versus $5 for Opus.