โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-5 Nano vs GLM 5.2

Detailed technical comparison between GPT-5 Nano (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 Nano: 3 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

GPT-5 Nano

$0.05 / MTok
OpenAIactive

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

View GPT-5 Nano 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 NanoGLM 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 Date2025-08-072026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Nano

$0.05

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5 Nano

$0.40

GLM 5.2

$2.50

๐Ÿ’ก Cost Ratio: GPT-5 Nano is 15.9x cheaper per input token than GLM 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
90.8%vs89.5%+1.3% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
GLM 5.2
HumanEvalPython coding & logic synthesis
92.0%vs91.2%+0.8% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
GLM 5.2
MATHComplex mathematical problem solving
79.2%vs80.5%+1.3% GLM 5.2
GPT-5 Nano
GLM 5.2 ๐Ÿ†
GPQAGraduate-level expert reasoning
57.6%vs53.5%+4.1% GPT-5 Nano
GPT-5 Nano ๐Ÿ†
GLM 5.2
HellaSwagCommonsense reasoning and inference
89.8%vs89.8%+0.0% GLM 5.2
GPT-5 Nano
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.2%vs9.3%+0.1% GLM 5.2
GPT-5 Nano
GLM 5.2 ๐Ÿ†

GPT-5 Nano Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons