为不同工作负载选择合适的 MiMo 模型
我们先把模型落地页架构搭起来，后续你可以持续往每个模型页里补场景、示例、对比和 FAQ，而不用再重做路由。
已经准备好的模型页骨架
下面每个卡片都对应独立、可持续扩展的 SEO 路由，后面直接补内容就行。
MiMo-V2-Pro
可用Reasoning and production-grade text generation
Built for agent workflows, structured output, and long-context reasoning tasks.
- 上下文窗口
- 1M
- 输出窗口
- 128K
能力标签
Text generationDeep reasoningStreamingFunction callingStructured outputWeb search
MiMo-V2-Omni
可用Multimodal understanding for image, audio, and richer inputs
Designed for teams building assistants and applications that need multimodal perception.
- 上下文窗口
- 256K
- 输出窗口
- 128K
能力标签
Multimodal understandingDeep reasoningStreamingFunction callingWeb search
MiMo-V2-Flash
可用Fast and cost-efficient generation for high-volume workloads
Optimized for low-latency text generation when throughput and cost matter most.
- 上下文窗口
- 256K
- 输出窗口
- 64K
能力标签
Text generationFast responsesStreamingFunction callingStructured outputWeb search