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GLM 5.2 vs o4 Mini

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 5.2 and o4 Mini.

Zhipu AI

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,...

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OpenAI

o4 Mini

OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...

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Technical Specifications

SpecificationGLM 5.2o4 Mini
ProviderZhipu AIOpenAI
Context Window1,048,576 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-06-162025-04-16

API Pricing Comparison

Input Price per Million Tokens

GLM 5.2

$0.93

o4 Mini

$1.10

Output Price per Million Tokens

GLM 5.2

$3.00

o4 Mini

$4.40

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8950.0%vsN/A
GLM 5.2
o4 Mini
HumanEvalPython coding & logic synthesis
9120.0%vsN/A
GLM 5.2
o4 Mini
MATHComplex mathematical problem solving
8050.0%vsN/A
GLM 5.2
o4 Mini
GPQAGraduate-level expert reasoning
5350.0%vsN/A
GLM 5.2
o4 Mini
HellaSwagCommonsense reasoning and inference
8980.0%vsN/A
GLM 5.2
o4 Mini
MT-BenchMulti-turn conversation flow quality
930.0%vsN/A
GLM 5.2
o4 Mini

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

o4 Mini Quirks & Gotchas

No developer gotchas reported.