Compare GLM 5.2 from Z.AI and MiMo V2 Omni from Xiaomi on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GLM 5.2
MiMo V2 OmniGLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
MiMo-V2-Omni is designed for complex real-world multimodal interaction and execution scenarios. We've built an all-modal foundation from the ground up that fuses text, vision, and speech, and use a unified architecture to deeply bind "perception" and "action." This not only breaks the traditional models' limitation of emphasizing understanding over execution, but also natively equips the model with multimodal perception, tool invocation, function execution, and GUI operation capabilities. MiMo-V2-Omni can seamlessly integrate with major agent frameworks, achieving a leap from understanding to manipulation and significantly lowering the barrier to deploying full-modal agents.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
MiMo V2 Omni: $2.20/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.
GLM 5.2: 1505; MiMo V2 Omni: 1488 (LMArena coding leaderboard).
GLM 5.2: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
GLM 5.2 accepts 1,000,000 and MiMo V2 Omni accepts 256,000 input tokens.
MiMo V2 Omni at 41.3 tok/s and GLM 5.2 at 33.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; MiMo V2 Omni accepts text, image, video and audio input and supports web search.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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