Xiaomi
MiMo V2.5
mimo-v2.5
Total Context
1.1M
Max Output
131.1K
Released
N/A
Input$0.14 / M tokens
Output$0.28 / M tokens
MiMo V2.5 Pro
mimo-v2.5-proXiaomi MiMo V2.5 Pro is a Xiaomi LLM in the MiMo AI model family, built for complex reasoning, coding, software engineering, and multi-step agent workflows. Use the Xiaomi MiMo API through TokenHub to review the current MiMo V2.5 Pro price, model ID, context and output limits, supported modalities, endpoints, and benchmark results before integrating it into a production application.
Context Window
1M tokens
Maximum Output
128K tokens
Release Date
Apr 23, 2026
Modalities
MiMo V2.5 Pro Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.4286/M | $0.8571/M | $0.0036/M |
MiMo V2.5 Pro API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Not supported
Knowledge Base
—
Endpoint Protocols
Completions APIResponses APIMessages API
MiMo V2.5 Pro Model Highlights
MiMo V2.5 Pro focuses on complex software engineering, long-horizon agent execution, and sustained instruction following within a one-million-token context.
Complex Software Engineering
The model is optimized for demanding engineering assignments that require architecture planning, implementation, testing, and iterative repair.
Long-Horizon Agent Execution
MiMo V2.5 Pro can sustain extended sequences of tool interactions while maintaining the task objective and recovering from intermediate failures.
Sustained Context Control
A one-million-token context and improved instruction following help preserve implicit requirements and logical consistency during lengthy tasks.
MiMo V2.5 Pro Use Cases
MiMo V2.5 Pro is suited to end-to-end software projects, repository-scale debugging, and unattended agent workflows with many dependent steps.
End-to-End Software Projects
Build a substantial application or system from initial requirements through architecture, implementation, testing, and final refinement.
Repository Debugging and Refactoring
Trace failures across multiple modules, identify root causes, apply coordinated fixes, and verify that regressions are resolved.
Unattended Agent Automation
Execute a long operational plan with repeated tool calls, monitor intermediate results, and recover when individual steps fail.
How to Use MiMo V2.5 Pro via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)MiMo V2.5 Pro Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 42.9 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 60.2 |
Metrics sourced from Artificial Analysis
MiMo V2.5 Pro Comparisons
Xiaomi MiMo V2.5 Pro API FAQs
Answers to common questions about the Xiaomi MiMo V2.5 Pro API, pricing, coding and agent workflows, model limits, and MiMo model comparisons on TokenHub.
What is Xiaomi MiMo V2.5 Pro?+
Xiaomi MiMo V2.5 Pro is a Xiaomi LLM in the MiMo AI model family for complex reasoning, coding, software engineering, and multi-step agent workflows. This page provides the current model ID, price, specifications, endpoint support, and benchmark information needed for production evaluation.
When should I choose MiMo V2.5 Pro?+
Evaluate MiMo V2.5 Pro when a task needs complex reasoning, detailed analysis, coding quality, software-engineering work, or sustained multi-step agent execution. Run it against representative prompts and success criteria from your own application before making it a production default.
How do I use the Xiaomi MiMo V2.5 Pro API through TokenHub?+
Create a TokenHub API key, copy the exact Xiaomi MiMo V2.5 Pro model ID shown on this page, and select a supported endpoint in the API section. Use the generated request example as the starting point for your OpenAI-compatible client or other supported integration.
How should I evaluate MiMo V2.5 Pro pricing?+
Review the current input, output, and cache-read prices displayed on this page, then estimate cost using your typical prompt size, response length, request volume, cache-hit rate, and number of agent or tool steps. Complex workflows should be measured end to end, not by a single token price.
Does MiMo V2.5 Pro support the input types and tools my application needs?+
Check the model specifications and API section on this page for the modalities, tool-calling support, structured output options, and endpoints currently available through TokenHub. Validate the exact request schema with representative application data before depending on a capability in production.
MiMo V2.5 Pro vs MiMo V2.5: which should I choose?+
Choose from the workload rather than the name. Compare the current API price, quality on your reasoning and coding tasks, latency, context and output limits, modalities, endpoints, and benchmark results. Use the MiMo V2.5 Pro vs MiMo V2.5 comparison page to verify live specifications before standardizing on either model.
Where can I find a Xiaomi MiMo API key and the MiMo V2.5 Pro model ID?+
Create an API key in the TokenHub workspace and copy the exact Xiaomi MiMo V2.5 Pro model ID displayed on this page. Confirm the supported endpoint and current specifications before sending production traffic, because availability and model details can change.
Ready to use MiMo V2.5 Pro?
Use one API key to access MiMo V2.5 Pro and more AI models through TokenHub.
Xiaomi MiMo V2.5 Pro Media and Demos
Selected public posts and videos about Xiaomi MiMo, MiMo AI, and MiMo V2.5 Pro.
X (Twitter)
Xiaomi MiMo ·
Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward 🔸 MiMo-V2.5-Pro, our strongest model yet. A major leap from MiMo-V2-Pro in general agentic capabilities, complex software engineering, and long-horizon tasks, now matching frontier models like Claude Opus 4.6 and https://t.co/PUd8RuxC9n
https://pbs.twimg.com/media/HGhK1SRbAAAfc5v.jpgView originalXiaomi MiMo ·
MiMo-V2.5-Pro is built for long-horizon, high-difficulty tasks. On a real compiler project from Peking University, one of China’s top universities, MiMo-V2.5-Pro autonomously built a complete SysY compiler in Rust from scratch — including lexer, parser, AST, Koopa IR codegen, https://t.co/sIyDgeMO8y
https://pbs.twimg.com/media/HGkpb76aoAAAz7X.jpgView originalXiaomi MiMo ·
On a graduate-level analog EDA task, it designed and optimized a complete FVF-LDO from scratch in the TSMC 180nm CMOS process — sizing the power transistor, tuning the compensation network, and choosing bias voltages so that six key metrics all landed within spec: phase margin, https://t.co/DfliJJfbJV
https://pbs.twimg.com/media/HGksEdzaQAAd-yt.jpgView originalReddit
Tested Xiaomi's MiMo V2.5 Pro for autonomous coding: 301 commits, 60+ pages, $70 in API costs. Now it's open-source.
jochenboele ·
Read full post
I spent three weeks testing Xiaomi's MiMo V2.5 Pro as a fully autonomous coding agent. Not running benchmarks. Actually building a product with it over extended sessions. Xiaomi open-sourced the full model (1.02T params, MIT license). Here's what the data shows and what the open-source release means. What I tested I connected V2.5 Pro to Claude Code using Xiaomi's Anthropic-compatible API endpoint. Then I ran autonomous sessions where the model comes up with its own tasks, prioritizes them, writes code, commits to git, and moves on. No human intervention during sessions. The model created the product idea, the backlog, the architecture, and the content strategy on its own. The numbers After ~125 sessions: 301 git commits 60+ pages (landing pages, pricing, blog posts, tools, API docs) Interactive API cost calculator with real-time pricing across 33 models and 10 providers Stripe checkout, embeddable widget system, price alert system Newsletter infrastructure, serverless API endpoints Full site deployed on Vercel from an empty repo Total API cost: $70.12 Why the cost is so low The key finding: 96% cache hit rate. Out of 387 million tokens processed, 373 million were cache hits. Claude Code reuses context between tool calls (reading files, checking outputs, making edits), and V2.5 Pro's caching means you're paying almost nothing for repeated context. $70.12 for 387 million tokens. What it's good at Autonomous task planning and execution. This model doesn't just follow instructions. It creates its own backlog, prioritizes tasks, and works through them across sessions. It also self-corrects: it ran quality audits on its own code and fixed bugs it found without being asked. For structured coding work (static sites, serverless functions, SEO content, API endpoints), it's fast and reliable. Every structured coding task I threw at it over 125 sessions, it handled. That covers probably 95% of what most developers actually need day to day. Where it struggles Rate limits during heavy usage (flow control on RPM/TPM). I hit these a few times during extended sessions. After about a minute of waiting, sessions continued normally. Not a dealbreaker. For the hardest reasoning tasks (complex multi-step architecture decisions, subtle cross-file bugs), I can't say how it compares to Claude Opus or GPT-5.4 because I didn't test those edge cases. The open-source release V2.5 Pro is fully open-source under MIT license. The full specs: 1.02 trillion total parameters, 42B active (MoE), hybrid attention architecture, 3-layer Multi-Token Prediction, up to 1M context. Weights are on HuggingFace. The catch: at 1.02T parameters, self-hosting requires serious hardware (think 4x A100 80GB minimum). For most developers, the API with its 96% cache hit rate is still the most practical path. But the open weights mean enterprises can deploy on their own infrastructure, and researchers can fine-tune for specific domains. The ecosystem play V2.5 Pro works natively with 11+ coding tools: Claude Code, OpenCode, Cline, Kilo Code, Roo Code, Codex, Cherry Studio, Zed, Qwen Code, Trae, and OpenClaw. The previous generation needed proxy setups. This native Anthropic-compatible endpoint is what makes it practical for daily use. The bigger picture A trillion-parameter model, open-sourced under MIT license, that costs $70 for 387 million tokens via API. A year ago this would have been unthinkable. Whether you use the API or self-host, V2.5 Pro is a sign of where the economics of AI are heading.
MiMo V2.5 Pro works with opencode via OpenAI-compatible config
Big_Plum_9327 ·
Read full post
I was messing around with a few cheaper OpenAI-compatible providers for opencode and tried Xiaomi MiMo today. It seems to work fine with the OpenAI-compatible adapter, so I thought I’d drop the config here in case anyone wants to test it. "xiaomimimo": { "npm": "@ai-sdk/openai-compatible", "name": "Xiaomi MiMo", "options": { "baseURL": "https://api.xiaomimimo.com/v1", "apiKey": "YOUR_API_KEY" }, "models": { "mimo-v2.5-pro": { "name": "MiMo V2.5 Pro", "reasoning": true } } } Steps are pretty basic: Create an account on the MiMo Open Platform Go to API Keys and create a key Add the provider config to your opencode config Replace YOUR_API_KEY with your actual key I haven’t done a deep benchmark yet, but for quick coding-agent style tests it felt decent, especially considering the pricing. The platform is also giving invite credits right now, so it’s easy to test without paying upfront. Full disclosure: this is my invite link/code. It gives both sides $2 API credits, and apparently 10% off the first plan. Invite code: U6TZUK Signup: https://platform.xiaomimimo.com?ref=U6TZUK (https://platform.xiaomimimo.com/?ref=U6TZUK) Credits are valid for 40 days, so it’s mostly useful if you want to try it soon. I tried Xiaomi MiMo V2.5 Pro with opencode today and it works through the OpenAI-compatible provider setup. Here’s the config I used: "xiaomimimo": { "npm": "@ai-sdk/openai-compatible", "name": "Xiaomi MiMo", "options": { "baseURL": "https://api.xiaomimimo.com/v1", "apiKey": "YOUR_API_KEY" }, "models": { "mimo-v2.5-pro": { "name": "MiMo V2.5 Pro", "reasoning": true } } } Just create an API key from the MiMo console, paste it into apiKey, and it should show up as a provider in opencode. Not claiming it beats the big models or anything, but it seems pretty usable for cheap coding-agent experiments. They also have an invite credit thing going on right now. My code gives both sides $2 API credits and 10% off the first plan: Code: U6TZUK Link: https://platform.xiaomimimo.com?ref=U6TZUK (https://platform.xiaomimimo.com/?ref=U6TZUK) Credits expire after 40 days, so probably only useful if you’re actually going to test it soon.
Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward
Murky-Ad126 ·
Read full post
MiMo-V2.5-Pro, our strongest model yet. A major leap from MiMo-V2-Pro in general agentic capabilities, complex software engineering, and long-horizon tasks, now matching frontier models like Claude Opus 4.6 and GPT-5.4 across most benchmarks (SWE-bench Pro 57.2, Claw-Eval 63.8, τ3-Bench 72.9). It can autonomously complete professional tasks involving 1,000+ tool calls, work that would take human experts days. Tech Blog: https://mimo.xiaomi.com/blog/mimo-v2.5-pro (https://t.co/I275kxl9kL) MiMo-V2.5, native omnimodal with strong agentic capabilities. Pro-level agent performance at roughly half the cost. Improved multimodal perception across image and video understanding, native 1M-token context window, and significantly more efficient inference. Tech Blog: https://mimo.xiaomi.com/blog/mimo-v2.5 (https://t.co/7DLo0n2MNu) API & Token Plan: https://platform.xiaomimimo.com/token-plan (https://t.co/P74SR2MaJe) r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-0npl9xc9xvwg1.jpg?width=1280&format=pjpg&auto=webp&s=a1e4a00cc52636c2d811b8899745da2e0d4df37c) The MiMo-V2.5 series is tuned for token efficiency. At the same ClawEval agent benchmark score: MiMo-V2.5-Pro uses 42% fewer tokens than Kimi K2.6 MiMo-V2.5 uses nearly half the tokens of Muse Spark Same frontier performance, at a fraction of the cost. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-bg7fuf2vxvwg1.jpg?width=1280&format=pjpg&auto=webp&s=7ce4c62c0476b1be9b4efb89e1d8a9b0396a7206) The MiMo-V2.5 series — how they fit together: MiMo-V2.5-Pro: built for long, complex agent tasks that demand deep reasoning. MiMo-V2.5: covers most general-purpose agent scenarios at 100–150 tokens/s, with native omni-modal capabilities across image, audio, and video. V2.5-Pro for the hardest tasks. V2.5 for speed and modality. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-d45kq1i5yvwg1.png?width=860&format=png&auto=webp&s=9fc1f95fe0a63970689cca9786d63fc3234bd0eb) Token Plan Update Alongside stronger models, we've upgraded our inference infrastructure — and your Token Plan gets better too. Simpler, lower credit rates: • MiMo-V2.5: 1x (1 token = 1 credit) • MiMo-V2.5-Pro: 2x (1 token = 2 credits) From now on, Token Plans (https://platform.xiaomimimo.com/token-plan (https://t.co/P74SR2MaJe)) no longer charge a multiplier for the 1M context window. r/XiaomiGlobal - Xiaomi MiMo-V2.5 Series: Pushing Open-Source Agents Forward (https://preview.redd.it/xiaomi-mimo-v2-5-series-pushing-open-source-agents-forward-v0-75z63629yvwg1.jpg?width=1221&format=pjpg&auto=webp&s=01a256d4b4be54b717cb3af353a1c980a5622c7d)
YouTube
Mimo V2.5 Pro ТЕСТ! От Xiaomi AI. Тестируем
NullsCode
View originalNEW Xiaomi MiMo-V2.5 Series Update! (FREE)
Julian Goldie SEO
View originalOpen Claude + Mimo V2.5 Pro = Free AI Coding
Code With Yousaf
View original