Models

Gemini 3.7 Flash vs GLM 5.2

Compare Gemini 3.7 Flash 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 3.7 FlashZ.AIGLM 5.2
Google logo
Gemini 3.7 Flash
Google · text, image, audio, video → text

Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.

Input$0.75 /M
Output$3.75 /M
Cache read$0.075 /M
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

Pricing & Specifications

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

Gemini 3.7 Flash
GLM 5.2
Input /M
$0.75
$1.1268$0.721236%
Output /M
$3.75
$3.9438$2.52436%
Cache read /M
$0.075
$0.2817$0.180336%
Context length
1,048,576
1,000,000
Max output
65,536
128,000
Time to First Token
3.5 s
0.6 s
Throughput
80.4 tok/s
35.9 tok/s
Modalities
textimageaudiovideo
text
Supported Parameters
thinkingtoolsfunction callingstructured outputsweblong context
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · gemini_api · claude_api
chat_completions · claude_api
Released
August 13, 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-3.7-flashglm-5.2

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.

gemini-3.7-flashglm-5.2

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
gemini-3.7-flashglm-5.2
14201460150015401580
Overall
14721491
Coding
15091522
Math
14761524
Hard prompts
14921508
Instruction following
14651485
Multi-turn
14691498
Creative writing
14511496
Longer query
14821500
Chinese
15171554
English
14801489
WebDev Arena
gemini-3.7-flashglm-5.2
1520156016001640
Overall
15871587
React
15811599
HTML
15391625
Gaming
16251634
Simulations
16121625
Data analytics
15431569

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 3.7 Flash
$101 /mo

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

FAQ

Which is cheaper: Gemini 3.7 Flash, GLM 5.2?

GLM 5.2: $2.524/M output tokens; Gemini 3.7 Flash: $3.75/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Gemini 3.7 Flash: 1522; GLM 5.2: 1509 (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 3.7 Flash accepts 1,048,576 and GLM 5.2 accepts 1,000,000 input tokens. Maximum output per request is 65,536 tokens on Gemini 3.7 Flash and 128,000 tokens on GLM 5.2.

Which one generates tokens faster?

Gemini 3.7 Flash at 80.4 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 3.7 Flash accepts text, image, audio and video input and supports thinking, tool calling, function calling, structured outputs, web search and long context; GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.

Can I call Gemini 3.7 Flash 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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