xiaomi

4 articles tagged with xiaomi

April 28, 2026
model releaseXiaomi

Xiaomi releases MiMo-V2.5: 310B parameter omnimodal model with 1M token context window

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.

April 22, 2026
model releaseXiaomi+1

Xiaomi Launches MiMo-V2.5 With 1M Context Window at $0.40 per Million Input Tokens

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.

March 23, 2026
model releaseXiaomi

Xiaomi releases MiMo-V2-Pro with 1M context window and 1T+ parameters

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.

model releaseXiaomi

Xiaomi launches MiMo-V2-Pro with 1T parameters, matches Claude Opus on coding at 80% lower cost

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.