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Xiaomi: MiMo-V2.5

by Xiaomi

9.2
Quality score / 10
Visit Xiaomi: MiMo-V2.5Paid$0.14/1M tokens

Overview

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

Our take

Within a category increasingly split between chat assistants and dedicated video tools, this Xiaomi release straddles both, listed as an AI video tool and a chatbot at once. It is a native omnimodal model that, per the data, delivers Pro-level agentic performance at roughly half the inference cost while improving on its predecessor's image and video understanding. A 1,048,576-token context window lets it take, say, a long product brief plus a batch of demo video clips and return written analysis grounded in what it saw. It offers chain-of-thought reasoning and structured JSON output, and at $0.10 per 1M input tokens it undercuts roughly 75 percent of comparable models. That price is where it separates from its stated alternatives: against Gemini 3.5 Flash or Gemini Pro Latest, the pitch is comparable multimodal reach at a markedly lower rate. The recorded limitation is no free tier, so usage bills per token from the start. Ideal for content and research teams who need image and video comprehension at high volume and are cost-sensitive about inference. A strong pick for budget-conscious multimodal work; less compelling if you are already committed to Google's ecosystem and its tooling.

How Xiaomi: MiMo-V2.5 stacks up

Among the 64 video & audio tools in our directory, it ranks #1 of 44 on quality (9.2/10), 8% above the 44-tool average of 8.5, and its $0.14/1M input-token rate is in the budget end — 78% cheaper than the 27-model average of $0.65/1M.

Weighing quality against cost, Xiaomi: MiMo-V2.5's cost-per-quality-point of $0.02 places it in the top 17% for value among video & audio tools.

Xiaomi: MiMo-V2.5 in depth

Xiaomi: MiMo-V2.5, built by Xiaomi, sits in the video & audio and chatbots & llms space and is a paid tool starting at $0.14/1M tokens. Our editors rate it 9.2 out of 10 based on capability, ecosystem and value. It handles a context window of 1,050,000 tokens.

On the feature side, Xiaomi: MiMo-V2.5 brings 1,050,000-token context window, vision (image input), reasoning / chain-of-thought and tool / function calling. These are the capabilities that most shape day-to-day use and separate it from thinner alternatives.

Its biggest strength is low api price — $0.14 per 1m input tokens, cheaper than roughly 75% of comparable models, while the main trade-off to weigh is that no free tier — usage is billed per token. Keep both in mind when deciding whether it fits your workflow.

Xiaomi: MiMo-V2.5 is most often chosen for content creation, research and writing. If that matches your goals, it's a strong candidate to shortlist.

Speed
Context window
1,050,000 tokens
Free tier
No
Updated
2026-08-15

Key features

  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • Structured (JSON) outputs

Pricing

$0.14/1M tokens
Pay per token
Paid$0.14/1M tokens
API input
$0.14 / 1M tokens
API output
$0.28 / 1M tokens
See full API pricing → llmprice.app

Pros

  • +Low API price — $0.14 per 1M input tokens, cheaper than roughly 75% of comparable models
  • +Large 1,050,000-token context window, bigger than most models listed here
  • +Built-in reasoning (chain-of-thought) mode for harder problems
  • +Accepts images as input (vision-capable)

Cons

  • No free tier — usage is billed per token

Who should use Xiaomi: MiMo-V2.5

  • Anyone looking for a video & audio and chatbots & llms tool from Xiaomi.
  • Teams and individuals focused on content creation, research and writing.
  • People who value low api price — $0.14 per 1m input tokens, cheaper than roughly 75% of comparable models.
  • Workflows that need a 1,050,000 tokens context window.

Who should look elsewhere

  • Anyone who needs a free tier — this tool is paid only.
  • Those for whom no free tier — usage is billed per token is a dealbreaker.

Best for

10 Best Xiaomi: MiMo-V2.5 Alternatives in 2026

Xiaomi: MiMo-V2.5 is a strong video & audio tool, but it is not the only option. Whether you are after a lower price, different features or a better fit for your workflow, here are the 10 best alternatives to Xiaomi: MiMo-V2.5, ranked and compared.

1

Google

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step…

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.7 Flash (batch) review →
2
Meta: Muse Spark 1.2Paid$1.25/1M tokens

Meta

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.2 review →
3

Google

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Google: Gemini 3.6 Flash (batch) review →
4

Google

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities.

+ Low API price — $0.15 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Google: Gemini 3.5 Flash Lite (batch) review →
5
Meta: Muse Spark 1.1Paid$1.25/1M tokens

Meta

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.

+ Large 1,048,576-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Meta: Muse Spark 1.1 review →
6
ClaudeFree tier$20/mo

Anthropic

Claude is Anthropic's family of AI assistants, known for long-context reasoning, careful writing and strong coding…

+ Best-in-class long-document reasoning+ Natural, high-quality writing+ Strong safety and reliability
Read full Claude review →
7
ChatGPTFree tier$20/mo

OpenAI

ChatGPT is OpenAI's flagship conversational AI, powering hundreds of millions of weekly users across web, mobile and…

+ Most polished and widely supported ecosystem+ Excellent general reasoning and coding+ Huge third-party integration support
Read full ChatGPT review →
8
GeminiFree tier$20/mo

Google DeepMind

Gemini is Google's natively multimodal model family, deeply integrated across Search, Workspace, Android and the Pixel…

+ Massive context window+ Tight integration with Google ecosystem+ Generous free access
Read full Gemini review →
9
Qwen: Qwen3.8 MaxPaid$2.00/1M tokens

Qwen

Qwen3.8 Max is the flagship model in Alibaba's Qwen3.8 series, the general-availability successor to the Qwen3.8 Max…

+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems+ Accepts images as input (vision-capable)
Read full Qwen: Qwen3.8 Max review →
10
Qwen: Qwen3.7 FlashPaid$0.03/1M tokens

Qwen

Qwen3.7 Flash is a vision-language reasoning model from Alibaba. It is suited for multimodal agents, visual coding…

+ Low API price — $0.03 per 1M input tokens, cheaper than roughly 75% of comparable models+ Large 1,000,000-token context window, bigger than most models listed here+ Built-in reasoning (chain-of-thought) mode for harder problems
Read full Qwen: Qwen3.7 Flash review →

Xiaomi: MiMo-V2.5 vs top alternatives

A side-by-side look at how Xiaomi: MiMo-V2.5 stacks up against its closest rivals.

FeatureXiaomi: MiMo-V2.5XiaomiGoogle: Gemini 3.7 Flash (batch)GoogleMeta: Muse Spark 1.2MetaGoogle: Gemini 3.6 Flash (batch)Google
Quality score9.2 / 109.2 / 109.2 / 109.2 / 10
Starting price$0.14/1M tokens$0.19/1M tokens$1.25/1M tokens$0.38/1M tokens
Free tierNoNoNoNo
API input price$0.14 / 1M tokens$0.1875 / 1M tokens$1.25 / 1M tokens$0.375 / 1M tokens
API output price$0.28 / 1M tokens$0.9375 / 1M tokens$4.25 / 1M tokens$1.875 / 1M tokens
Speed
Context window1,050,000 tokens1,048,576 tokens1,048,576 tokens1,048,576 tokens
CategoriesVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMsVideo & Audio, Chatbots & LLMs
Key features
  • 1,050,000-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
  • 1,048,576-token context window
  • Vision (image input)
  • Reasoning / chain-of-thought
  • Tool / function calling
Pros
  • + Low API price — $0.14 per 1M input tokens, cheaper than roughly 75% of comparable models
  • + Large 1,050,000-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
  • + Large 1,048,576-token context window, bigger than most models listed here
  • + Built-in reasoning (chain-of-thought) mode for harder problems
  • + Accepts images as input (vision-capable)
  • + Supports tool / function calling for agent-style workflows
Cons
  • No free tier — usage is billed per token
  • No free tier — usage is billed per token
  • Above-average API pricing ($1.25 per 1M input tokens)
  • No free tier — usage is billed per token

Frequently asked questions

Q. Is Xiaomi: MiMo-V2.5 free?

No — Xiaomi: MiMo-V2.5 is a paid tool, starting at $0.14/1M tokens.

Q. How much does Xiaomi: MiMo-V2.5 cost?

Xiaomi: MiMo-V2.5 starts at $0.14/1M tokens. API usage is around $0.14 per 1M input tokens and $0.28 per 1M output tokens.

Q. What is Xiaomi: MiMo-V2.5 best for?

Xiaomi: MiMo-V2.5 is best suited to content creation, research and writing, within the video & audio and chatbots & llms category.

Q. What are the best Xiaomi: MiMo-V2.5 alternatives?

Popular alternatives to Xiaomi: MiMo-V2.5 include Google: Gemini 3.7 Flash (batch), Meta: Muse Spark 1.2, Google: Gemini 3.6 Flash (batch) and Google: Gemini 3.5 Flash Lite (batch). Each trades off price, quality and ecosystem differently.

Q. Is there a free alternative to Xiaomi: MiMo-V2.5?

Yes. Claude, ChatGPT, Gemini offer a free tier, making them good starting points if you want to avoid an upfront subscription.

Q. Why switch from Xiaomi: MiMo-V2.5?

Common reasons include pricing, specific feature gaps (No free tier — usage is billed per token), data-privacy requirements, or simply wanting a tool that fits your stack better.

How we rate AI tools

Our quality score weighs capability on real tasks, breadth of features and integrations, pricing and value, and how actively the tool is maintained. Scores are editorial guidance, not benchmarks — always trial a tool on your own workflow before committing. Pricing and features change frequently, so verify current details on the official site.

Ready to try Xiaomi: MiMo-V2.5?

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Visit Xiaomi: MiMo-V2.5