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GPT-4o vs GLM 5.2

Detailed technical comparison between GPT-4o (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-4o: 1 WinvsGLM 5.2: 4 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-4o

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

View GPT-4o 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-4oGLM 5.2
ProviderOpenAIZhipu AI
Context Window128,000 tokens1,048,576 tokens🏆
Agent Suitability90/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-05-132026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-4o

$2.50

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-4o

$10.00

GLM 5.2

$2.50

💡 Cost Ratio: GLM 5.2 is 3.1x cheaper per input token than GPT-4o.

Want to test both models live?

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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
88.7%vs89.5%+0.8% GLM 5.2
GPT-4o
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
90.2%vs91.2%+1.0% GLM 5.2
GPT-4o
GLM 5.2 🏆
MATHComplex mathematical problem solving
76.6%vs80.5%+3.9% GLM 5.2
GPT-4o
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
53.6%vs53.5%+0.1% GPT-4o
GPT-4o 🏆
GLM 5.2
HellaSwagCommonsense reasoning and inference
88.7%vs89.8%+1.1% GLM 5.2
GPT-4o
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
9.3%vs9.3%+0.0% GLM 5.2
GPT-4o
GLM 5.2

GPT-4o Quirks & Gotchas

  • ▸Strong multimodal performance — best vision+tool calling combo
  • ▸Legacy model — migrate to GPT-5 for latest improvements

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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