Models

GLM 5.2 vs GPT-5.3-Codex

Compare GLM 5.2 from Z.AI and GPT-5.3-Codex 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-5.3-Codex
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-5.3-Codex
OpenAI · text, image → text

GPT-5.3-Codex is optimized for agentic coding tasks in Codex or similar environments. GPT-5.3-Codex supports low, medium, high, and xhigh reasoning effort settings. If you want to learn more about prompting GPT-5.3-Codex, refer to our dedicated guide.

Input$1.75 /M
Output$14.00 /M

Pricing & Specifications

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

GLM 5.2
GPT-5.3-Codex
Input /M
$1.13
$1.75
Output /M
$3.94
$14.00
Cache read /M
$0.28
$0.18
Context length
1,000,000
400,000
Max output
128,000
128,000
Time to First Token
1.1 s
3.7 s
Throughput
34.6 tok/s
61.0 tok/s
Modalities
text
textimage
Supported Parameters
thinkingtoolsfunction callingstructured outputs
thinkingfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
June 16, 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-5.3-codex

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

glm-5.2gpt-5.3-codex

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

WebDev Arena
glm-5.2gpt-5.3-codex
1340142015001580
Overall
13711582
React
13591594
HTML
14191537
Gaming
16171617
Simulations
16061606
Data analytics
15421542

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-5.3-Codex
$315 /mo

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

FAQ

Which is cheaper: GLM 5.2, GPT-5.3-Codex?

GLM 5.2: $3.94/M output tokens; GPT-5.3-Codex: $14.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

GLM 5.2: 1.1s 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-5.3-Codex accepts 400,000 input tokens. Maximum output per request is 128,000 tokens on GLM 5.2 and 128,000 tokens on GPT-5.3-Codex.

Which one generates tokens faster?

GPT-5.3-Codex at 61.0 tok/s and GLM 5.2 at 34.6 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-5.3-Codex accepts text and image input and supports thinking, function calling and structured outputs.

Can I call GLM 5.2 and GPT-5.3-Codex 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.

Popular comparisons

Related model match-ups readers also look at.