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GPT-5.3-Codex vs GLM 5.2

Detailed technical comparison between GPT-5.3-Codex (OpenAI) and GLM 5.2 (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-5.3-Codex: 4 WinsvsGLM 5.2: 2 Wins
Context Leader

GLM 5.2

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
OpenAIactive

GPT-5.3-Codex

GPT-5.3-Codex is OpenAI’s most advanced agentic coding model, combining the frontier software engineering performance of GPT-5.2-Codex with the broader reasoning and professional knowledge capabilities of GPT-5.2. It achieves state-of-the-art results...

View GPT-5.3-Codex Full Specs →
Zhipu AIactive

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

View GLM 5.2 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-5.3-CodexGLM 5.2
ProviderOpenAIZhipu AI
Context Window400,000 tokens1,048,576 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-02-242026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-5.3-Codex

$1.75

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5.3-Codex

$14.00

GLM 5.2

$2.52

💡 Cost Ratio: GLM 5.2 is 2.2x cheaper per input token than GPT-5.3-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
93.2%vs89.5%+3.7% GPT-5.3-Codex
GPT-5.3-Codex 🏆
GLM 5.2
HumanEvalPython coding & logic synthesis
99.0%vs91.2%+7.8% GPT-5.3-Codex
GPT-5.3-Codex 🏆
GLM 5.2
MATHComplex mathematical problem solving
81.6%vs80.5%+1.1% GPT-5.3-Codex
GPT-5.3-Codex 🏆
GLM 5.2
GPQAGraduate-level expert reasoning
56.6%vs53.5%+3.1% GPT-5.3-Codex
GPT-5.3-Codex 🏆
GLM 5.2
HellaSwagCommonsense reasoning and inference
88.8%vs89.8%+1.0% GLM 5.2
GPT-5.3-Codex
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
9.1%vs9.3%+0.2% GLM 5.2
GPT-5.3-Codex
GLM 5.2 🏆

GPT-5.3-Codex Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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