01
What is MiMo-V2.6 Pro?
Xiaomi MiMo-V2.6 Pro is the flagship model in Xiaomi's MiMo-V2.6 family. The release combines open weights with API availability and targets reasoning, coding, agentic and multimodal workloads.
02
Architecture and context
The published model information describes Pro as a sparse mixture-of-experts model with roughly 1.02 trillion total parameters and 42 billion activated per token. It supports a 1 million-token context window. Inputs include text, images, video and audio, while output is text.
03
Open weights and license
Xiaomi has released model weights through its MiMo ecosystem under the MIT license. That is materially different from API-only access: developers can inspect and deploy the released checkpoints subject to the published license and runtime requirements. Recheck the exact checkpoint/model-card license before production publication.
04
MiMo-V2.6 Pro vs Flash
The family includes Pro and Flash variants. Pro targets maximum capability; Flash targets lower-cost/faster inference. Keep model IDs, availability and exact pricing tied to Xiaomi's current API documentation because these can change after launch.
05
API pricing
Launch information indicates the V2.6 family continues the V2.5 pricing structure, with separate cache-hit input, cache-miss input and output rates. Exact current Xiaomi first-party prices must be reverified immediately before publication rather than copied from a secondary source.
06
Benchmarks
Xiaomi reports strong results across coding, agentic and professional-knowledge evaluations. These numbers are vendor-reported unless a named independent evaluator reproduced them. Independent Artificial Analysis measurements should be presented separately, with test date and configuration where available. Do not turn a leaderboard position into a universal claim that the model is better for every task.
07
Multimodal capabilities
MiMo-V2.6 Pro accepts text, image, video and audio inputs. This makes the model relevant beyond coding and text-only agents, including multimodal analysis and tool-using workflows. Verify exact modality limits, file constraints and API support before publishing implementation details.
08
Can you run MiMo-V2.6 Pro locally?
Open weights make self-hosting possible in principle, but a trillion-parameter sparse model is not a normal consumer-laptop deployment. Hardware needs depend heavily on precision, quantization, runtime, tensor/expert parallelism and context length. Do not publish a universal RAM/VRAM minimum without an official or reproducible configuration.
09
Availability
The V2.6 family is available through Xiaomi's MiMo ecosystem, including model-weight distribution and hosted/API paths. Verify the current model IDs and regional/access constraints immediately before publication.
10
FAQ
Is MiMo-V2.6 Pro open source?
Prefer the precise phrase open-weight. The released weights are published under an MIT license, while the full training data and complete training pipeline may not necessarily be released in the same sense.
Does it support a 1M context window?
Published model information lists a 1 million-token context window. Effective usable context and performance can vary by runtime and workload.
Is MiMo-V2.6 Pro multimodal?
Yes. Published model information lists text, image, video and audio input with text output.
Is MiMo-V2.6 Pro free?
The downloadable weights and license are separate from hosted inference. API usage is priced; self-hosting also carries infrastructure cost.
11
Sources and verification
Use Xiaomi's official model cards, repositories and API documentation as primary sources. Attribute Xiaomi benchmark claims to Xiaomi and keep independent measurements clearly separate.
Sources
Primary and supporting sources
Use the linked documentation to check current pricing, access and product behaviour. The dates above describe this article; they do not guarantee that every vendor claim remains current.