Models

GLM 5.2 vs O4 Mini

Compare GLM 5.2 from Z.AI and O4 Mini 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 5.2OpenAIO4 Mini
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
O4 Mini
OpenAI · text, image → text

o4-mini is a remarkably smart model for its speed and cost-efficiency. This allows it to support significantly higher usage limits than o3, making it a strong high-volume, high-throughput option for everyone with questions that benefit from reasoning.

Input$1.1 /M
Output$4.4 /M
Cache read$0.275 /M

Pricing & Specifications

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

GLM 5.2
O4 Mini
Input /M
$1.1268$0.721236%
$1.1
Output /M
$3.9438$2.52436%
$4.4
Cache read /M
$0.2817$0.180336%
$0.275
Context length
1,000,000
200,000
Max output
128,000
100,000
Time to First Token
0.7 s
5.8 s
Throughput
35.9 tok/s
85.5 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingtoolfunction 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-5.2o4-mini

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-5.2o4-mini

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-5.2o4-mini
1320138014401500
Overall
13901472
Coding
14321509
Math
14161476
Hard prompts
14061492
Instruction following
13681465
Multi-turn
13811469
Creative writing
13381451
Longer query
13681482
Chinese
14001517
English
14031480

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
O4 Mini
$132 /mo

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

FAQ

Which is cheaper: GLM 5.2, O4 Mini?

GLM 5.2: $2.524/M output tokens; O4 Mini: $4.4/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1509; O4 Mini: 1432 (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 O4 Mini accepts 200,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 100,000 tokens on O4 Mini.

Which one generates tokens faster?

O4 Mini at 85.5 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; O4 Mini accepts text and image input and supports thinking, tool calling, function calling and structured outputs.

Can I call GLM 5.2 and O4 Mini 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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