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GPT-5.2 vs GLM 5.2

Detailed technical comparison between GPT-5.2 (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.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.2: 3 WinsvsGLM 5.2: 3 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-5.2

GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate computation dynamically, responding quickly...

View GPT-5.2 Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.2GLM 5.2
ProviderOpenAIZhipu AI
Context Window400,000 tokens1,048,576 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-12-102026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-5.2

$1.75

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5.2

$14.00

GLM 5.2

$2.50

๐Ÿ’ก Cost Ratio: GLM 5.2 is 2.2x cheaper per input token than GPT-5.2.

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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
93.4%vs89.5%+3.9% GPT-5.2
GPT-5.2 ๐Ÿ†
GLM 5.2
HumanEvalPython coding & logic synthesis
94.6%vs91.2%+3.4% GPT-5.2
GPT-5.2 ๐Ÿ†
GLM 5.2
MATHComplex mathematical problem solving
78.4%vs80.5%+2.1% GLM 5.2
GPT-5.2
GLM 5.2 ๐Ÿ†
GPQAGraduate-level expert reasoning
56.8%vs53.5%+3.3% GPT-5.2
GPT-5.2 ๐Ÿ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
89.0%vs89.8%+0.8% GLM 5.2
GPT-5.2
GLM 5.2 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
9.2%vs9.3%+0.1% GLM 5.2
GPT-5.2
GLM 5.2 ๐Ÿ†

GPT-5.2 Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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