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GPT-5 Mini vs GLM 5.2

Detailed technical comparison between GPT-5 Mini (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 Mini: 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

GPT-5 Mini

$0.25 / MTok
OpenAIactive

GPT-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

View GPT-5 Mini 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 MiniGLM 5.2
ProviderOpenAIZhipu AI
Context Window400,000 tokens1,048,576 tokens🏆
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/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 Mini

$0.25

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5 Mini

$2.00

GLM 5.2

$2.50

💡 Cost Ratio: GPT-5 Mini is 3.2x 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.

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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
86.5%vs89.5%+3.0% GLM 5.2
GPT-5 Mini
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
88.0%vs91.2%+3.2% GLM 5.2
GPT-5 Mini
GLM 5.2 🏆
MATHComplex mathematical problem solving
82.5%vs80.5%+2.0% GPT-5 Mini
GPT-5 Mini 🏆
GLM 5.2
GPQAGraduate-level expert reasoning
68.0%vs53.5%+14.5% GPT-5 Mini
GPT-5 Mini 🏆
GLM 5.2
HellaSwagCommonsense reasoning and inference
95.5%vs89.8%+5.7% GPT-5 Mini
GPT-5 Mini 🏆
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.0%vs9.3%+0.3% GLM 5.2
GPT-5 Mini
GLM 5.2 🏆

GPT-5 Mini Quirks & Gotchas

  • ▸Excellent for high-frequency classification and routing tasks
  • ▸Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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