MiMo-V2.6-Pro: Benchmarks, Pricing & Context Window
MiMo-V2.6-Pro is a language model from Xiaomi, released in September 2026, with multimodal input.
MiMo-V2.6-Pro is Xiaomi's MIT-licensed omnimodal sparse Mixture-of-Experts model with 1.02T total parameters and 42B active parameters. It supports text, image, video, and audio understanding with a 1,048,576-token context window and text
MiMo-V2.6-Pro benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for MiMo-V2.6-Pro across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How MiMo-V2.6-Pro holds up as conversations get longer.
Quality Tracker
MiMo-V2.6-Pro Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Tue Sep 22 2026MiMo-V2.6-Pro model size
MiMo-V2.6-Pro has 1.0 trillion parameters. See how it compares to other models in the same parameter range.
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MiMo-V2.6-Pro latency
MiMo-V2.6-Pro time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.
MiMo-V2.6-Pro examples
Recent arena outputs from MiMo-V2.6-Pro, picked from the highest-ranked matchups.
MiMo-V2.6-Pro license
MiMo-V2.6-Pro is released under the MIT license, which permits commercial use, has 1.0T parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 1.0T
MIT License - allows commercial use
MiMo-V2.6-Pro resources
Official sources for MiMo-V2.6-Pro: provider documentation, official playground, paper or system card, official launch post, model weights.
MiMo-V2.6-Pro vs other models
The most-compared alternatives to MiMo-V2.6-Pro are MiMo-V2.5-Pro, MiMo-V2.5, GPT-5.6 Sol. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like MiMo-V2.6-Pro
Models ranked just above and below MiMo-V2.6-Pro by LLM Stats score.
FAQ
Common questions about MiMo-V2.6-Pro.