Models

GLM 5.2 vs GPT 5

Compare GLM 5.2 from Z.AI and GPT 5 from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

Z.AIGLM 5.2OpenAIGPT 5
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
OpenAI logo
GPT 5
OpenAI · text, image → text

GPT-5 is OpenAI’s most advanced general-purpose model, delivering major improvements in reasoning, code quality, and overall user experience. It is optimized for complex tasks that require step-by-step reasoning, precise instruction following, and high accuracy in high-stakes scenarios. The model supports test-time routing and advanced prompt understanding, including user-specified intent such as “think hard about this,” while significantly reducing hallucination and sycophancy and improving performance in coding, writing, and health-related tasks.

Input$1.25 /M
Output$10.00 /M

Pricing & Specifications

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

GLM 5.2
GPT 5
Input /M
$1.13
$1.25
Output /M
$3.94
$10.00
Cache read /M
$0.28
$0.13
Context length
1,000,000
400,000
Max output
128,000
128,000
Time to First Token
0.9 s
7.8 s
Throughput
36.6 tok/s
71.4 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
June 16, 2026
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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.

glm-5.2gpt-5

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.

glm-5.2gpt-5

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
glm-5.2gpt-5
1360142014801540
Overall
14271470
Coding
14631505
Math
14131475
Hard prompts
14491488
Instruction following
14171462
Multi-turn
14491470
Creative writing
13921450
Longer query
14361479
Chinese
14491516
English
14321477

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
GPT 5
$225 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT 5?

GLM 5.2: $3.94/M output tokens; GPT 5: $10.00/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; GPT 5: 1463 (LMArena coding leaderboard).

Which responds faster?

GLM 5.2: 0.9s 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?

GLM 5.2 accepts 1,000,000 and GPT 5 accepts 400,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GPT 5.

Which one generates tokens faster?

GPT 5 at 71.4 tok/s and GLM 5.2 at 36.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 5 accepts text and image input and supports thinking, tool calling, function calling and structured outputs.

Can I call GLM 5.2 and GPT 5 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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