AIHubMixAIHubMix
← Models

Gemini 2.5 Pro vs GLM 5.2

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

Gemini 2.5 Pro is an advanced reasoning model developed by Google, optimized for solving highly complex problems across multiple domains. It can deeply understand large-scale information from diverse sources, including text, audio, images, video, and even entire codebases. The model demonstrates strong reasoning capabilities in coding, mathematics, and STEM-related tasks, and supports long-context analysis for large datasets, codebases, and technical documentation.

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
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
128,000
Time to First Token
2.4 s
0.6 s
Throughput
80.9 tok/s
35.9 tok/s
Modalities
textimageaudiovideopdf
text
Supported Parameters
toolsfunction callingstructured outputslong contextwebthinkingdeepsearch
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
-
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-proglm-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-proglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
gemini-2.5-proglm-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-proglm-5.2
1180130014201540
Overall
12041587
React
15991599
HTML
12121539
Gaming
16251625
Simulations
16121612
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
$225 /mo

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

FAQ

Which is cheaper: Gemini 2.5 Pro, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Gemini 2.5 Pro: $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: 1465 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.6s 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 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 and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Gemini 2.5 Pro at 80.9 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 accepts text, image, audio, video and PDF input and supports tool calling, function calling, structured outputs, long context, web search, thinking and deep search; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Gemini 2.5 Pro 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.

Popular comparisons

Related model match-ups readers also look at.

Kimi K3vsQwen3.8 Max PreviewClaude Opus 5vsGPT 5.6 LunaClaude Opus 5vsClaude Sonnet 5Gemini 3.1 Pro PreviewvsGPT 5.5GLM 5.2vsKimi K3Gemini 3.6 FlashvsQwen3.8 MaxDeepSeek V4 FlashvsGLM 5.2Claude Opus 5vsGrok 4.5
AIHubMix

© 2023 - 2026 AIHubMix, LLC

Product

Company

Developer

Connect