Models

GLM 5.2 vs Xiaomi Mimo V2.5 Pro

Compare GLM 5.2 from Z.AI and Xiaomi Mimo V2.5 Pro 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.

Z.AIGLM 5.2XiaomiXiaomi Mimo V2.5 Pro
Z.AI logo
GLM 5.2
Z.AI · text → text

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.

Input$1.13 /M
Output$3.94 /M
Xiaomi logo
Xiaomi Mimo V2.5 Pro
Xiaomi · text → text

MiMo-V2.5-Pro is Xiaomi's most powerful model to date. In areas such as general agent capabilities, complex software engineering, and long-horizon tasks, it can now directly compete with the world's top agent models (Claude Opus 4.6, GPT-5.4). Compared with the previous-generation MiMo-V2-Pro, it achieves an all-around leap forward.

Input$0.48 /M
Output$0.96 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GLM 5.2
Xiaomi Mimo V2.5 Pro
Input /M
$1.13
$0.48
Output /M
$3.94
$0.96
Cache read /M
$0.28
$0.00
Context length
1,000,000
1,000,000
Max output
128,000
0
Time to First Token
0.9 s
1.7 s
Throughput
36.4 tok/s
41.3 tok/s
Modalities
text
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
web
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2xiaomi-mimo-v2.5-pro

Tokens / day

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Requests / day

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Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

glm-5.2xiaomi-mimo-v2.5-pro

Throughput (tok/s)

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TTFT (s)

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Uptime (%)

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LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
glm-5.2xiaomi-mimo-v2.5-pro
1420146015001540
Overall
14681470
Coding
15051519
Math
14751477
Hard prompts
14881496
Instruction following
14621471
Multi-turn
14701478
Creative writing
14361450
Longer query
14791488
Chinese
15121516
English
14771482
WebDev Arena
glm-5.2xiaomi-mimo-v2.5-pro
1440150015601620
Overall
14761582
React
14641594
HTML
14841537
Gaming
14971617
Simulations
14911606
Data analytics
14631542

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Xiaomi Mimo V2.5 Pro
$43.20 /mo
GLM 5.2
$127 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GLM 5.2, Xiaomi Mimo V2.5 Pro?

Xiaomi Mimo V2.5 Pro: $0.96/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Xiaomi Mimo V2.5 Pro: 1519; GLM 5.2: 1505 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.9s 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 Xiaomi Mimo V2.5 Pro accepts 1,000,000 input tokens.

Which one generates tokens faster?

Xiaomi Mimo V2.5 Pro at 41.3 tok/s and GLM 5.2 at 36.4 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; Xiaomi Mimo V2.5 Pro accepts text input and supports web search.

Can I call GLM 5.2 and Xiaomi Mimo V2.5 Pro 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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