MiMo-V2.5
General purposeVisionToolsXiaomi · Released April 2026
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...
Facts and pricing
- Provider
- Xiaomi
- Context window
- 1.0M tokens
- Input price
- 1.2 credits / 1M tokens ($0.10 raw)
- Output price
- 3.1 credits / 1M tokens ($0.28 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Credits are what Zeplik bills: 1 credit = $0.10, computed from the raw provider rate with a 1.10x margin. Raw prices shown per 1M tokens.
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What MiMo-V2.5 is best for
- Balanced everyday work: writing, questions, brainstorming and summarization
- Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
- Working with images: screenshots, charts, photos and scanned documents alongside text
- Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows
Xiaomi family
| Model | Context | Input cr/M | Output cr/M | Released |
|---|---|---|---|---|
| MiMo-V2.5-Pro | 1.0M | 4.8 | 9.6 | April 2026 |
| MiMo-V2.5 | 1.0M | 1.2 | 3.1 | April 2026 |
Frequently asked questions
- What is MiMo-V2.5?
- MiMo-V2.5 is an AI model by Xiaomi. 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...
- How much does MiMo-V2.5 cost on Zeplik?
- Input tokens cost 1.2 credits per million and output tokens 3.1 credits per million (1 credit = $0.10; the raw provider rates are $0.10 and $0.28 per million). New accounts start with free credits.
- How long can a conversation with MiMo-V2.5 be?
- MiMo-V2.5 has a 1.0M-token context window (1,048,576 tokens), which covers the conversation plus any documents you attach.
- Does MiMo-V2.5 support images and tools?
- MiMo-V2.5 accepts image input and supports tool calling.
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