Models

GLM 5.2 vs GPT 5 Chat

Output tokens cost $3.94 per million on GLM 5.2 and $10.00 per million on GPT 5 Chat. Input tokens cost $1.13 per million on GLM 5.2 and $1.25 per million on GPT 5 Chat. Cached input tokens are billed at $0.28 per million on GLM 5.2 and $0.13 per million on GPT 5 Chat. Context lengths are 1,000,000 tokens on GLM 5.2 and 400,000 tokens on GPT 5 Chat. Time to first token (TTFT) measured on AIHubMix is 1.1s on GLM 5.2 and 0.8s on GPT 5 Chat. Measured output throughput is 36.9 tok/s on GLM 5.2 and 77.4 tok/s on GPT 5 Chat. On the LMArena coding leaderboard GLM 5.2 scores 1505 and GPT 5 Chat scores 1463.

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

GPT-5 Chat points to the GPT-5 snapshot currently used in ChatGPT. GPT-5 is our next-generation, high-intelligence flagship model. It accepts both text and image inputs, and produces text outputs.

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 Chat
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
1.1 s
0.8 s
Throughput
36.9 tok/s
77.4 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-5-chat-latest

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-chat-latest

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-chat-latest
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 Chat
$225 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT 5 Chat?

GLM 5.2: $3.94/M output tokens; GPT 5 Chat: $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 Chat: 1463 (LMArena coding leaderboard).

Which responds faster?

GPT 5 Chat: 0.8s 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 Chat accepts 400,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GPT 5 Chat.

Which one generates tokens faster?

GPT 5 Chat at 77.4 tok/s and GLM 5.2 at 36.9 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 Chat accepts text and image input.

Can I call GLM 5.2 and GPT 5 Chat 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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