← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5.2 Chat vs GLM 5.2

Detailed technical comparison between GPT-5.2 Chat (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-5.2 Chat: 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 Chat

GPT-5.2 Chat (AKA Instant) is the fast, lightweight member of the 5.2 family, optimized for low-latency chat while retaining strong general intelligence. It uses adaptive reasoning to selectively β€œthink” on...

View GPT-5.2 Chat Full Specs β†’
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 β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.2 ChatGLM 5.2
ProviderOpenAIZhipu AI
Context Window128,000 tokens1,048,576 tokensπŸ†
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 Chat

$1.75

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5.2 Chat

$14.00

GLM 5.2

$2.50

πŸ’‘ Cost Ratio: GLM 5.2 is 2.2x cheaper per input token than GPT-5.2 Chat.

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 (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
90.4%vs89.5%+0.9% GPT-5.2 Chat
GPT-5.2 Chat πŸ†
GLM 5.2
HumanEvalPython coding & logic synthesis
91.6%vs91.2%+0.4% GPT-5.2 Chat
GPT-5.2 Chat πŸ†
GLM 5.2
MATHComplex mathematical problem solving
78.8%vs80.5%+1.7% GLM 5.2
GPT-5.2 Chat
GLM 5.2 πŸ†
GPQAGraduate-level expert reasoning
57.2%vs53.5%+3.7% GPT-5.2 Chat
GPT-5.2 Chat πŸ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
89.4%vs89.8%+0.4% GLM 5.2
GPT-5.2 Chat
GLM 5.2 πŸ†
MT-BenchMulti-turn conversation flow quality
9.2%vs9.3%+0.1% GLM 5.2
GPT-5.2 Chat
GLM 5.2 πŸ†

GPT-5.2 Chat Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons