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Gemini 3.1 Pro Preview vs GLM 5.2

Compare Gemini 3.1 Pro Preview 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 3.1 Pro PreviewZ.AIGLM 5.2
+ Add model · 2/4
Google logo
Gemini 3.1 Pro Preview
Google · text, image, audio, video → text

Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.

Input$2 /M
Output$12 /M
Cache read$0.5 /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 3.1 Pro Preview
GLM 5.2
Input /M
$2
$1.1268$0.7212−36%
Output /M
$12
$3.9438$2.524−36%
Cache read /M
$0.5
$0.2817$0.1803−36%
Context length
1,000,000
1,000,000
Max output
64,000
128,000
Time to First Token
5.0 s
0.7 s
Throughput
98.3 tok/s
35.9 tok/s
Modalities
textimageaudiovideo
text
Supported Parameters
thinkingtoolsfunction callingstructured outputswebdeepsearchlong context
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · gemini_api · claude_api
chat_completions · claude_api
Released
February 19, 2026
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-3.1-pro-previewglm-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-3.1-pro-previewglm-5.2

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

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

Text
gemini-3.1-pro-previewglm-5.2
1420146015001540
Overall
14721487
Coding
15091521
Math
14761489
Hard prompts
14921507
Instruction following
14651481
Multi-turn
14691495
Creative writing
14511479
Longer query
14821499
Chinese
15171531
English
14801489
WebDev Arena
gemini-3.1-pro-previewglm-5.2
1380146015401620
Overall
14461587
React
14371599
HTML
14911539
Gaming
14651625
Simulations
14761612
Data analytics
14041543

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 3.1 Pro Preview
$300 /mo

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

FAQ

Which is cheaper: Gemini 3.1 Pro Preview, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Gemini 3.1 Pro Preview: $12/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Gemini 3.1 Pro Preview: 1521; GLM 5.2: 1509 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.7s 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 3.1 Pro Preview accepts 1,000,000 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on Gemini 3.1 Pro Preview and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Gemini 3.1 Pro Preview at 98.3 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 3.1 Pro Preview accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search, deep search and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Gemini 3.1 Pro Preview 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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