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GPT-4o-mini vs GLM 5.2

Detailed technical comparison between GPT-4o-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-4o-mini: 0 WinsvsGLM 5.2: 6 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-4o-mini

$0.15 / MTok
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-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-4o-miniGLM 5.2
ProviderOpenAIZhipu AI
Context Window128,000 tokens1,048,576 tokens🏆
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-07-182026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-4o-mini

$0.60

GLM 5.2

$2.50

💡 Cost Ratio: GPT-4o-mini is 5.3x 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
82.0%vs89.5%+7.5% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
84.0%vs91.2%+7.2% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆
MATHComplex mathematical problem solving
70.2%vs80.5%+10.3% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
45.0%vs53.5%+8.5% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
84.7%vs89.8%+5.1% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.6%vs9.3%+0.7% GLM 5.2
GPT-4o-mini
GLM 5.2 🏆

GPT-4o-mini Quirks & Gotchas

  • ▸Ultra-low latency — best TTFT in the OpenAI lineup
  • ▸Tool calling limited to single-step — not suitable for complex agentic pipelines

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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