MiMo v2.5

Name: MiMo v2.5
Author: Xiaomi

by XiaomiMiMo

APIAvailable through a hosted API — pay per token, no self-hosting required

1049K context≈ 786,432 words

MiMo v2.5 is Xiaomi's reasoning model, part of their push into AI infrastructure beyond smartphones. It targets coding and mathematical reasoning tasks with competitive benchmark results against models several times its size. Available via API with competitive pricing, it represents Xiaomi's bet that reasoning-optimized smaller models can match larger general-purpose ones on structured tasks.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Multilingual

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

MiMo v2.5

by XiaomiMiMo

APIAvailable through a hosted API — pay per token, no self-hosting required

1049K context≈ 786,432 words

MiMo v2.5 is Xiaomi's reasoning model, part of their push into AI infrastructure beyond smartphones. It targets coding and mathematical reasoning tasks with competitive benchmark results against models several times its size. Available via API with competitive pricing, it represents Xiaomi's bet that reasoning-optimized smaller models can match larger general-purpose ones on structured tasks.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Multimodal

Moderate

Multilingual

Use Case Fit

Fit scores are AI-generated based on model capabilities, intended use, and technical specifications. Learn more

Glossary

APIAn interface that allows developers to send requests to and receive responses from an AI model over the internet.BenchmarkA standardized test suite used to measure and compare model performance on specific tasks.General-PurposeDesigned to handle a wide variety of different tasks rather than being specialized for one specific domain.Mathematical ReasoningThe ability to solve multi-step math problems by breaking them down logically and showing intermediate steps rather than just guessing the answer.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning ModelA model trained to show explicit step-by-step reasoning and problem-solving logic before producing final answers, rather than jumping directly to conclusions.Reasoning TasksProblems that require a model to think through multiple steps logically to arrive at an answer, rather than just pattern-matching.Reasoning-OptimizedA model designed to allocate extra computational resources to logical problem-solving and step-by-step analysis rather than raw speed or breadth of knowledge.