Xiaomi: MiMo-V2.5: multimodal specs, pricing, and fit

The quick read

Xiaomi: MiMo-V2.5 from xiaomi is a balanced pick (#3): a 1.1M window at $0.14 input / $0.28 output per 1M tokens. It aims for capability headroom without top-tier prices—useful when neither raw cost nor absolute frontier quality is the only constraint.

Spec sheet at a glance

By the numbers: 1.1M context window; multimodal (text, image, and file input); 19 exposed API parameters, including tool calling and structured outputs with reasoning support. Use these to judge fit for agentic, long-context, or structured-output workloads.

Pricing & how it compares

Pricing: $0.14 input / $0.28 output per 1M tokens. Its blended $0.21 is at or below the top-20 median ($0.66). On AI Hippo the composite board rewards cheap long-context models such as Meta: Llama 4 Scout, so a lower rank here means weaker value-per-token, not weaker capability.

Head-to-head

Its closest board neighbor is OpenAI: GPT-5.6 Luna Pro (1.1M ctx, $0.35/1M blended). Side by side, Xiaomi: MiMo-V2.5 offers 1.1M ctx at $0.21/1M blended: context is similar and, on blended token price, it is cheaper. Pick between them on whichever axis your workload is bound by.

Where it fits

Best-fit workloads: whole-repo & long-document work, screenshot / PDF / image understanding, tool-calling agents, structured-output pipelines, multi-step reasoning, high-volume, cost-sensitive batch.

Cost in practice & verdict

A representative 100K-input + 20K-output task costs about $0.02 on Xiaomi: MiMo-V2.5. Verdict: strong price-performance for a default, high-volume workhorse where every token counts.

Sources

• AI Hippo unified rankings
• Multi-source token pricing
• OpenRouter models API