Models

GLM 5.2 vs GPT 4o Mini

Output tokens cost $3.94 per million on GLM 5.2 and $0.60 per million on GPT 4o Mini. Input tokens cost $1.13 per million on GLM 5.2 and $0.15 per million on GPT 4o Mini. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.08 per million on GPT 4o Mini. Context lengths are 1,000,000 tokens on GLM 5.2 and 128,000 tokens on GPT 4o Mini. Time to first token (TTFT) measured on AIHubMix is 0.6s on GLM 5.2 and 0.6s on GPT 4o Mini. Measured output throughput is 45.2 tok/s on GLM 5.2 and 50.8 tok/s on GPT 4o Mini. On the LMArena coding leaderboard GLM 5.2 scores 1505 and GPT 4o Mini scores 1349.

Z.AIGLM 5.2OpenAIGPT 4o Mini
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 4o Mini
OpenAI · text, image → text

The lightweight version of GPT-4o, which is affordable and fast, suitable for handling simple tasks; our site supports the official automatic caching for this model, and charges for cache hits will be automatically halved.

Input$0.15 /M
Output$0.60 /M

Pricing & Specifications

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

GLM 5.2
GPT 4o Mini
Input /M
$1.13
$0.15
Output /M
$3.94
$0.60
Cache read /M
$0.28
$0.08
Context length
1,000,000
128,000
Max output
128,000
16,384
Time to First Token
0.6 s
0.6 s
Throughput
45.2 tok/s
50.8 tok/s
Modalities
text
textimage
Supported Parameters
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-4o-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-5.2gpt-4o-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-5.2gpt-4o-mini
1260134014201500
Overall
13181470
Coding
13491505
Math
12761475
Hard prompts
13111488
Instruction following
12941462
Multi-turn
13111470
Creative writing
12941450
Longer query
13261479
Chinese
13151516
English
13291477

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.

GPT 4o Mini
$18.00 /mo
GLM 5.2
$127 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT 4o Mini?

GPT 4o Mini: $0.60/M output tokens; GLM 5.2: $3.94/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

GLM 5.2: 1505; GPT 4o Mini: 1349 (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?

GLM 5.2 accepts 1,000,000 and GPT 4o Mini accepts 128,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 16,384 tokens on GPT 4o Mini.

Which one generates tokens faster?

GPT 4o Mini at 50.8 tok/s and GLM 5.2 at 45.2 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 4o Mini accepts text and image input.

Can I call GLM 5.2 and GPT 4o 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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