MiMo V2.5 Standard is the multimodal model in Xiaomi’s V2.5 family, released April 22, 2026 alongside V2.5 Pro. It natively processes images, audio, video, and text in a single model with a single API call. No adapters, no preprocessing pipelines, no stitching separate models together.

The numbers that matter: V2.5 Standard outperforms the older MiMo V2 Pro on agent benchmarks, returns responses faster than V2.5 Pro for most tasks, and costs roughly 50% less per token. If you are building anything that involves understanding visual or audio content, this is the model to start with.

For a full overview of the V2.5 lineup, see the MiMo V2.5 series guide.

Capabilities

V2.5 Standard handles four input modalities natively. You send any combination of them in a single API request and the model reasons across all of them together.

Image understanding. Screenshots, product photos, charts, diagrams, handwritten notes, documents. The model processes them without OCR preprocessing. Ask it to describe a UI mockup, extract data from a chart, or compare two product images side by side.

Audio processing. Voice recordings, meeting audio, podcast clips, phone calls. V2.5 Standard transcribes and reasons over audio content directly. You can ask it to summarize a meeting recording or extract action items from a voice memo without running a separate ASR step first.

Video analysis. Short video clips get processed frame by frame with temporal understanding. The model tracks what happens over time, not just what appears in individual frames. Feed it a product demo video and ask for a written walkthrough. Send dashcam footage and ask it to flag hazards.

Text. Standard text reasoning, summarization, translation, and generation. V2.5 Standard is not a text-only model that bolted on vision. It is a unified architecture where text is one of several native modalities.

The key advantage over pipeline approaches is latency. When you chain separate models (OCR, then text model, then summarizer), each step adds latency and potential error. V2.5 Standard does it all in one pass.

Benchmarks

V2.5 Standard outperforms MiMo V2 Pro on agent benchmarks. That is worth repeating: the cheaper, faster multimodal model in the V2.5 family beats the previous generation’s flagship on agentic tasks.

V2.5 Standard is not competing with V2.5 Pro on coding benchmarks like SWE-bench Pro. That is not its job. Its strength is general-purpose multimodal reasoning at speed and at lower cost. For tasks that do not require million-token code context or top-tier SWE-bench scores, V2.5 Standard delivers more capability per dollar than V2.5 Pro.

The speed advantage is real. V2.5 Standard returns responses faster than V2.5 Pro for most tasks, which makes it better suited for user-facing products where latency matters. If you are building a chatbot, a content analysis tool, or any real-time application, the faster response time directly improves user experience.

Pricing

V2.5 Standard costs roughly 50% less than V2.5 Pro per token across all plan tiers.

The 50% cost reduction compounds with V2.5 Standard’s faster inference. You pay less per token and you use fewer seconds of compute per request. For teams running thousands of API calls per day, the savings are significant.

Xiaomi also removed the context-length multiplier that V2 Pro charged. You pay the same rate regardless of how much context you use. Night-time discounts apply if you are running batch jobs during off-peak hours.

For exact rates, check platform.xiaomimimo.com. Pricing varies by region and plan tier. For a broader look at how MiMo pricing compares to other providers, see the AI model comparison.

V2.5 Standard vs V2.5 Pro

These two models serve different purposes. Picking the wrong one wastes money or leaves performance on the table.

Use V2.5 Standard when:

• Your app processes images, audio, or video
• You need fast response times for user-facing features
• You want the best cost-to-capability ratio for general tasks
• You are building chatbots, content tools, or analysis pipelines

Use V2.5 Pro when:

• You are building AI coding agents or code automation
• You need the 1M token context window for large codebases
• You need top-tier SWE-bench scores
• You are running long-horizon agentic workflows with 1,000+ tool calls

For most teams, V2.5 Standard is the right default. Move to Pro only when you specifically need its coding specialization or extended context. See the full V2.5 Pro guide for details on when Pro is worth the premium.

V2.5 Standard vs V2 Omni

V2.5 Standard is the successor to MiMo V2 Omni. Both are multimodal models, but V2.5 Standard is a generation ahead.

The biggest upgrade is agent performance. V2 Omni was positioned as the “eyes and ears” that needed V2 Pro as the “brain” to plan tasks. V2.5 Standard is capable enough to handle many agent workflows on its own, without routing to a more expensive model for reasoning.

If you are currently using V2 Omni, migrating to V2.5 Standard is straightforward. The API format is compatible. You will see better accuracy, faster responses, and clearer pricing.

Use cases

Multimodal chatbots. Build customer support bots that understand screenshots, voice messages, and text. Users send a photo of a broken product and the bot diagnoses the issue without human intervention.

Content analysis pipelines. Process marketing assets at scale. Feed V2.5 Standard product images, ad videos, and copy. It evaluates brand consistency, identifies issues, and generates reports.

Meeting intelligence. Send meeting recordings and get structured summaries with action items, decisions, and follow-ups. No separate transcription step needed.

Document processing. Invoices, receipts, contracts, forms. V2.5 Standard reads them natively and extracts structured data. Faster and cheaper than OCR-plus-text-model pipelines.

Accessibility tools. Describe images for visually impaired users, transcribe audio for hearing-impaired users, and generate alt text for web content. All from a single model.

Quality assurance. Analyze UI screenshots against design specs. Feed V2.5 Standard a Figma export and a production screenshot and ask it to identify visual differences.

FAQ

Is V2.5 Standard good enough for coding tasks?

V2.5 Standard handles general code generation, explanation, and review competently. But if you are building AI coding agents, running automated PR reviews, or working with large codebases, V2.5 Pro is the better choice. Pro scores 57.2% on SWE-bench Pro and has a 1M token context window specifically designed for code-heavy workflows. Standard is the right pick when code is one part of a broader multimodal task, not the primary focus.

Can V2.5 Standard replace separate vision and audio models?

For most use cases, yes. V2.5 Standard processes images, audio, and video natively in a single call. You do not need a separate OCR model, a separate speech-to-text model, and a separate reasoning model. The tradeoff is that dedicated models (like V2.5 ASR for speech recognition) may still outperform Standard on their specific task. But for general multimodal reasoning where you need good-enough performance across all modalities, Standard simplifies your architecture and reduces costs.

When will V2.5 Standard be available as open-source?

Xiaomi has confirmed open-source releases are planned for the V2.5 series but has not given an exact date. Based on previous releases (V2 Pro and V2 Flash were released under permissive licenses on Hugging Face), expect open weights within weeks to a few months after the API launch. Check Xiaomi’s GitHub and Hugging Face pages for announcements.

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Related: MiMo V2.5 Pro Complete Guide | MiMo V2.5 Series Guide | What is MiMo V2 Omni | AI Model Comparison 2026