MiMo-V2.5 Voice
Research context and background
Xiaomi has officially launched the MiMo-V2.5 series of large language models. This announcement marks a major step forward in the company's AI capabilities. The series includes several versions designed for different needs, such as general intelligence, professional coding, and voice synthesis. The models are open source, meaning developers can access and use the code freely. Xiaomi has also optimized the pricing structure to make using these models more cost-effective for users.
Benefits
The MiMo-V2.5 series offers several powerful advantages over previous versions and competitors.
The most advanced version, MiMo-V2.5-Pro, is now considered one of the strongest models globally. It matches or beats top-tier AI agents like Claude Opus and GPT-5.4 in general intelligence, complex software engineering, and long-term tasks. It can handle very long conversations without losing track of the conversation history. This makes it reliable for professional work that requires strict attention to detail.
The model has incredible productivity. It can complete complex tasks that usually take human experts days or weeks. For example, it can build a full programming compiler in just over four hours. It also has the ability to write video editors with simple commands, creating thousands of lines of code in under twelve hours. It can fix its own mistakes during the process, showing strong self-correction skills.
The standard MiMo-V2.5 is a native agent model. It can see, hear, and read information at the same time. It converts this understanding into actions. It performs better than older versions in daily tasks and costs about 50% less to use via API. It is also better at understanding videos, charts, and images compared to other industry-leading closed models.
Xiaomi has improved efficiency significantly. The new models use fewer tokens to do the same amount of work. This means users pay less for the same results. The pricing plan has been updated to offer better credit rates and discounts.
Use Cases
The MiMo-V2.5 series is suitable for a wide range of applications.
Developers can use the Pro version to build complex software systems. It can write entire compilers or video editing tools from scratch. It is ideal for projects that require deep logical reasoning and the ability to use many different tools in sequence.
Businesses and researchers can use the standard MiMo-V2.5 for multi-modal tasks. This includes analyzing videos, interpreting charts, and processing audio data. It works well for agents that need to interact with the real world by combining different types of information.
Individual users can benefit from the cost savings. Because the models are more efficient and the pricing is optimized, users can perform more tasks for the same budget. The open-source nature of the project allows anyone to study the code and potentially improve upon it.
Pricing (ONLY include if available)
Xiaomi has updated its pricing strategy to offer better value. The system uses a credit model where tokens are converted into credits.
The MiMo-V2.5 version uses a 1x rate, meaning one token equals one credit. The MiMo-V2.5-Pro version uses a 2x rate, meaning one token equals two credits. The pricing plan no longer separates credits based on context window size.
There are special discounts available. During the night hours from midnight to 8 AM Beijing time, the credit consumption rate increases by eight times. This allows users to process more work for free during off-peak hours. New users can get a discount of 77 credits per month by subscribing to a continuous plan. Existing users get a 7 credit discount. There is also an annual subscription option that offers an 88 credit discount.
All users who purchased a plan before April 22 at 10 PM Beijing time will have their credit balance fully reset. This means they will start calculating their credits from zero.
Vibes (ONLY include if available)
The public reception to the MiMo-V2.5 launch has been very positive. The announcement highlights that the models are open source and globally accessible. Users appreciate the significant improvements in performance and the reduction in costs. The ability to complete tasks that previously required weeks of human effort in just a few hours is a major highlight. The self-correction feature, where the model fixes its own errors during a long task, demonstrates a level of intelligence that many users find impressive. The reset of credit balances for existing users is seen as a generous gesture that encourages continued adoption of the platform.
Additional Information (ONLY include if available)
Xiaomi officially launched the MiMo-V2.5 series on April 23, 2026. The project is fully open source, allowing the global community to access the technology. The models have been optimized specifically for token efficiency, using fewer tokens to achieve better results. The company has partnered with academic institutions, such as Peking University, to validate the models through rigorous testing. The SysY compiler challenge was based on a course project from Peking University, demonstrating the model's ability to tackle academic-level problems. The team behind the project focuses on building the model layer by layer rather than getting stuck in repetitive loops of failure.
The MiMo-V2.5 series includes multiple versions like MiMo-V2.5, MiMo-V2.5-Pro, V2.5-TTS Series, and V2.5-ASR. These different versions cater to specific needs ranging from general intelligence to specialized tasks like text-to-speech and speech-to-text. The company aims to lead the market in AI application layer formation through these innovations.
This content is either user submitted or generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral), based on automated research and analysis of public data sources from search engines like DuckDuckGo, Google Search, and SearXNG, and directly from the tool's own website and with minimal to no human editing/review. THEJO AI is not affiliated with or endorsed by the AI tools or services mentioned. This is provided for informational and reference purposes only, is not an endorsement or official advice, and may contain inaccuracies or biases. Please verify details with original sources.
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