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Version 1.1.0
MiMo-V2.5-Pro · Evaluations · Kaino
M
model evaluation

MiMo-V2.5-Pro

Xiaomi

Xiaomi’s flagship MiMo-V2.5-Pro large language model for complex agentic, reasoning, and coding tasks, available through Xiaomi MiMo and as open weights on Hugging Face.

modelxiaomi-mimo
76.6KAINO SCORERecommended
Evaluated Jul 31, 202610 reviews
Website Docs GitHub

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Cost effectiveness89
  • Speed & availability81
  • Technical capability79
  • Pricing clarity78
  • Developer experience78
  • Coding & agentic75
  • Risk & evidence73
  • Adoption signal73
  • Reasoning & knowledge72
  • Multimodal & I/O68

Kainotomic evaluation

MiMo-V2.5-Pro has credible positioning as Xiaomi’s flagship reasoning, coding, and agentic model, plus open weights and a reported 1M-token context window. Artificial Analysis reports an Intelligence Index of 42, 51 tokens/s, 3.16s TTFT, and low $0.43/$0.87 per-million input/output-token pricing. This supports strong value and good serving performance, but not frontier technical placement. Multimodal functionality is insufficiently specified in the supplied official evidence. Its reported 39.6 LiveCodeBench v6 base-model result provides some coding signal, but is not directly comparable with deployed leaderboard entries; the current LiveCodeBench and DeepSWE leaderboards do not list it. Accordingly, coding and reasoning score below DeepSeek-V3.2 and Kimi K2.5, and well below GPT-5.5, GPT-5.6 Sol, and Claude Opus 4.8. It scores materially above Gemma 3 on coding evidence, while remaining broadly comparable to GLM-4.6 in overall capability. Open weights, Xiaomi-hosted access, and a public GitHub organization improve developer optionality. Agent Arena rank 32 from 21,399 sessions is meaningful but below leading public-signal anchors. Pricing is independently reported but not clearly documented in the supplied Xiaomi materials. Benchmark coverage remains thin: no supplied SWE-bench, Terminal-Bench, or Aider result, and most performance claims beyond third-party measurements originate with Xiaomi.

Strengths

  • Low reported token pricing with strong cost-effectiveness
  • Reported 1M-token context and solid 51 tokens/s throughput
  • Open weights on Hugging Face alongside provider access
  • Documented public Agent Arena usage signal

Caveats

  • LiveCodeBench result is vendor-reported for the base model under a 1-shot setting
  • No current DeepSWE or LiveCodeBench leaderboard listing
  • Supplied evidence does not establish detailed multimodal, tool-use, or API behavior
  • Official pricing and license terms are not supplied