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Gemini 2.5 Pro Search vs GLM 5.2

Compare Gemini 2.5 Pro Search from Google and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

GoogleGemini 2.5 Pro SearchZ.AIGLM 5.2
+ Add model · 2/4
Google logo
Gemini 2.5 Pro Search
Google · text, image, video, audio, pdf → text

gemini-2.5-pro-search integrates Google's official search functionality; the search feature will have an additional separate fee log directly incorporated into the scoring, with detailed logs not displayed; this will be fixed and displayed later; only supports OpenAI-compatible formats for invocation, does not support Gemini SDK; for Gemini's native SDK, please set parameters directly using the official search parameters.

Input$1.25 /M
Output$10 /M
Cache read$0.125 /M
Details
36% off
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$1.1268$0.7212 /M
Output$3.9438$2.524 /M
Cache read$0.2817$0.1803 /M
Details

Pricing & Specifications

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

Gemini 2.5 Pro Search
GLM 5.2
Input /M
$1.25
$1.1268$0.7212−36%
Output /M
$10
$3.9438$2.524−36%
Cache read /M
$0.125
$0.2817$0.1803−36%
Context length
1,048,576
1,000,000
Max output
65,536
131,072
Time to First Token
1.9 s
1.0 s
Throughput
101.3 tok/s
35.9 tok/s
Modalities
textimagevideoaudiopdf
text
Supported Parameters
thinkingwebtoolsfunction callingstructured outputslong context
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
June 17, 2025
June 16, 2026

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.

gemini-2.5-pro-searchglm-5.2

Tokens / day

-

Requests / day

-

Performance Past 3 Days

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

gemini-2.5-pro-searchglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
gemini-2.5-pro-searchglm-5.2
1420146015001540
Overall
14461472
Coding
14651509
Math
14421476
Hard prompts
14581492
Instruction following
14391465
Multi-turn
14481469
Creative writing
14441451
Longer query
14571482
Chinese
14901517
English
14481480
WebDev Arena
gemini-2.5-pro-searchglm-5.2
11801300142015401660
Overall
12041589
React
16011601
HTML
12121540
Gaming
16281628
Simulations
16141614
Data analytics
15431543

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.

GLM 5.2
$127$81.13 /mo
Gemini 2.5 Pro Search
$225 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro Search, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Gemini 2.5 Pro Search: $10/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; Gemini 2.5 Pro Search: 1465 (LMArena coding leaderboard).

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?

Gemini 2.5 Pro Search accepts 1,048,576 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 2.5 Pro Search and 131,072 tokens on GLM 5.2.

Which one generates tokens faster?

Gemini 2.5 Pro Search at 101.3 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?

Gemini 2.5 Pro Search accepts text, image, video, audio and PDF input and supports thinking, web search, tool calling, function calling, structured outputs and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Gemini 2.5 Pro Search and GLM 5.2 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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