GLM-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.
GLM 5.2 vs MiMo V2.5
Compare GLM 5.2 from Z.AI and MiMo V2.5 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 V2.5MiMo-V2.5 is a native, fully multimodal large model designed for agent scenarios; it can see, hear, and read, and translate understanding into action. It has over 1 trillion total parameters (42B active parameters), employs an innovative hybrid-attention architecture, and supports an ultra-long 1M context length. Built on a powerful model base, we continuously scale compute across broader agent scenarios, further expanding the agent’s action space and achieving an important generalization from coding to claw.
Pricing & Specifications
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.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: GLM 5.2, MiMo V2.5?
MiMo V2.5: $0.31/M output tokens; GLM 5.2: $2.1691/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
GLM 5.2: 1.0s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
GLM 5.2 accepts 1,000,000 and MiMo V2.5 accepts 256,000 input tokens.
Which one generates tokens faster?
MiMo V2.5 at 43.0 tok/s and GLM 5.2 at 35.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; MiMo V2.5 accepts text, image, video and audio input and supports web search.
Can I call GLM 5.2 and MiMo V2.5 with the same API key?
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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