Xiaomi MiMo-V2.5

Name: Xiaomi MiMo-V2.5
Author: Xiaomi

Released

2026-04-22

Last refreshed

2026-06-29

Status

Researched 57d ago

ProprietaryCommercial use: conditionalMultimodalRAGAgentsLong contextVisionClassificationJSON / Tool useMultimodalAgentLong Context

Xiaomi MiMo-V2.5 is worth evaluating for rag, agents, and long context when its provider route and context window match the workload.

Use it for

Teams evaluating rag, agents, and long context
Workloads that can use a 1.05m context window
Buyers comparing 2 tracked provider routes

Do not use it for

Workloads where another current model has stronger sourced task evidence

Specifications

Family: MiMo
Released: 2026-04-22
Context: 1.05m
Specialization: agentic
Openness: Proprietary
License: ProprietaryCommercial use: conditional
Weights: Not released
Code: Unknown
Training: Pretrained

Created by

Xiaomi

Consumer electronics and AI research.

Beijing, China

Founded 2010

Website

Pricing

Output / 1M

$0.280

Input / 1M

$0.140

Cheapest of 2 routes · OpenRouter

Providers(2)

OpenRouter Xiaomi

View 2 provider routes

Links

Website

About

Xiaomi MiMo-V2.5 is the lower-cost native omnimodal sibling in the MiMo-V2.5 series. OpenRouter describes it as supporting text, image, audio, and video inputs with text output, Pro-level agentic performance at roughly half the inference cost, and improved multimodal perception over MiMo-V2-Omni. Xiaomi's official April 22 release page highlights MiMo-V2.5 alongside MiMo-V2.5-Pro in benchmark data and says the V2.5 series will be open-sourced soon; no public weights/license were verified at research time.

Xiaomi MiMo-V2.5 is a proprietary model in the MiMo family. The structured metadata tracks a 1.05m-token context window, multimodal input, reasoning, function calling, tool use, and structured outputs. This page tracks provider routes through OpenRouter and Xiaomi, with the cheapest tracked route listed at $0.14 input and $0.28 output per 1M tokens. Headline tracked benchmarks include AIME 2025 94.1, Google-Proof Q&A 83.7, and MMLU PRO 84.9.

Top use-case fit: coding, agents, and build tasks

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Long context

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 2

Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.

Provider	Input / 1M	Output / 1M	Cache	Route
OpenRouter	$0.140	$0.280	-	Serverless
Xiaomi	$0.140	$0.280	read $0.0028	Serverless

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured Outputs

Benchmark peer barsfor Classification

MMLU PRORank 38 of 105

Gemini 3 Pro

91.8

Gemini 3.1 Pro Preview

91.0

Qwen3.7-Max

89.6

Claude Opus 4.6

89.1

Xiaomi MiMo-V2.5current

84.9

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.

Benchmark	Score	Version	Evaluation	Source
AIME 2025	94.1	From HuggingFace model card for MiMo-V2 (accuracy%)Observed 2026-06-07	—	Source
Google-Proof Q&A	83.7	GPQA Diamond (accuracy%)Observed 2026-06-07	—	Source
MMLU PRO	84.9	From HuggingFace model card for MiMo-V2 (accuracy%)Observed 2026-06-07	—	Source
GeneBench-Pro	1.2	xhighObserved 2026-06-30	—	Source