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GPT-4.1 vs GLM 5.2

Detailed technical comparison between GPT-4.1 (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-4.1: 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

GLM 5.2

$0.80 / MTok
OpenAIactive

GPT-4.1

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

View GPT-4.1 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-4.1GLM 5.2
ProviderOpenAIZhipu AI
Context Window1,047,576 tokens1,048,576 tokens🏆
Agent Suitability91/100N/A
Time to First Token (TTFT)250 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-04-142026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-4.1

$2.00

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-4.1

$8.00

GLM 5.2

$2.50

💡 Cost Ratio: GLM 5.2 is 2.5x cheaper per input token than GPT-4.1.

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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
81.0%vs89.5%+8.5% GLM 5.2
GPT-4.1
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
79.2%vs91.2%+12.0% GLM 5.2
GPT-4.1
GLM 5.2 🏆
MATHComplex mathematical problem solving
56.4%vs80.5%+24.1% GLM 5.2
GPT-4.1
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
38.4%vs53.5%+15.1% GLM 5.2
GPT-4.1
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
80.6%vs89.8%+9.2% GLM 5.2
GPT-4.1
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.7%vs9.3%+0.6% GLM 5.2
GPT-4.1
GLM 5.2 🏆

GPT-4.1 Quirks & Gotchas

  • ▸Strong tool-calling reliability — good migration path from GPT-4o
  • ▸Migrate to GPT-5 for larger context window and improved reasoning

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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