Models

GLM 5.2 vs GPT 5.5

Compare GLM 5.2 from Z.AI and GPT 5.5 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 5.5
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
OpenAI logo
GPT 5.5
OpenAI · text, image → text

GPT-5.5 raises the baseline for complex production workflows. It’s a strong fit for coding use cases, tool-heavy agents, grounded assistants, long-context retrieval, product-spec-to-plan workflows, and customer-facing workflows where execution quality and response polish are critical.

Input$5 /M
Output$30 /M
Cache read$0.5 /M

Pricing & Specifications

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

GLM 5.2
GPT 5.5
Input /M
$1.1268$0.721236%
$5
Output /M
$3.9438$2.52436%
$30
Cache read /M
$0.2817$0.180336%
$0.5
Context length
1,000,000
1,050,000
Max output
128,000
128,000
Time to First Token
0.7 s
5.1 s
Throughput
35.9 tok/s
64.4 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputswebtools
API Formats
chat_completions · claude_api
chat_completions · claude_api · responses
Released
June 16, 2026
April 24, 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.

glm-5.2gpt-5.5

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-5.5

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-5.5
1420146015001540
Overall
14721477
Coding
15091509
Math
14761502
Hard prompts
14921498
Instruction following
14651474
Multi-turn
14691483
Creative writing
14491451
Longer query
14821485
Chinese
15171530
English
14801482

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
GPT 5.5
$750 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT 5.5?

GLM 5.2: $2.524/M output tokens; GPT 5.5: $30/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; GPT 5.5: 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?

GLM 5.2 accepts 1,000,000 and GPT 5.5 accepts 1,050,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GPT 5.5.

Which one generates tokens faster?

GPT 5.5 at 64.4 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?

GLM 5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 5.5 accepts text and image input and supports thinking, function calling, structured outputs, web search and tool calling.

Can I call GLM 5.2 and GPT 5.5 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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