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Gemini 2.5 Pro vs GLM 5.2

Output tokens cost $10.00 per million on Gemini 2.5 Pro and $3.94 per million on GLM 5.2. Input tokens cost $1.25 per million on Gemini 2.5 Pro and $1.13 per million on GLM 5.2. Cached input tokens are billed at $0.13 per million on Gemini 2.5 Pro and $0.28 per million on GLM 5.2. Context lengths are 1,048,576 tokens on Gemini 2.5 Pro and 1,000,000 tokens on GLM 5.2. Time to first token (TTFT) measured on AIHubMix is 1.8s on Gemini 2.5 Pro and 0.6s on GLM 5.2. Measured output throughput is 73.4 tok/s on Gemini 2.5 Pro and 42.2 tok/s on GLM 5.2. On the LMArena coding leaderboard Gemini 2.5 Pro scores 1465 and GLM 5.2 scores 1505.

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$10.00 /M
Details
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
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
$1.13
Output /M
$10.00
$3.94
Cache read /M
$0.13
$0.28
Context length
1,048,576
1,000,000
Max output
65,536
128,000
Time to First Token
1.8 s
0.6 s
Throughput
73.4 tok/s
42.2 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

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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 (%)

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LMArena Benchmarks

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

Text
gemini-2.5-proglm-5.2
1420146015001540
Overall
14461470
Coding
14651505
Math
14421475
Hard prompts
14581488
Instruction following
14391462
Multi-turn
14481470
Creative writing
14441450
Longer query
14571479
Chinese
14901516
English
14481477
WebDev Arena
gemini-2.5-proglm-5.2
1180130014201540
Overall
12041582
React
15941594
HTML
12121537
Gaming
16171617
Simulations
16061606
Data analytics
15421542

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 /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: $3.94/M output tokens; Gemini 2.5 Pro: $10.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; 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 73.4 tok/s and GLM 5.2 at 42.2 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.

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