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GPT-5.5 vs GLM 5.2

Detailed technical comparison between GPT-5.5 (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-5.5: 6 WinsvsGLM 5.2: 0 Wins
Context Leader

GPT-5.5

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.2

$0.80 / MTok
OpenAIactive

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

View GPT-5.5 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-5.5GLM 5.2
ProviderOpenAIZhipu AI
Context Window1,050,000 tokens🏆1,048,576 tokens
Agent Suitability95/100N/A
Time to First Token (TTFT)380 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-242026-06-16

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5

$5.00

GLM 5.2

$0.80

Output Price per Million Tokens

GPT-5.5

$30.00

GLM 5.2

$2.52

💡 Cost Ratio: GLM 5.2 is 6.2x cheaper per input token than GPT-5.5.

Want to test both models live?

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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
94.2%vs89.5%+4.7% GPT-5.5
GPT-5.5 🏆
GLM 5.2
HumanEvalPython coding & logic synthesis
96.8%vs91.2%+5.6% GPT-5.5
GPT-5.5 🏆
GLM 5.2
MATHComplex mathematical problem solving
93.5%vs80.5%+13.0% GPT-5.5
GPT-5.5 🏆
GLM 5.2
GPQAGraduate-level expert reasoning
84.2%vs53.5%+30.7% GPT-5.5
GPT-5.5 🏆
GLM 5.2
HellaSwagCommonsense reasoning and inference
99.0%vs89.8%+9.2% GPT-5.5
GPT-5.5 🏆
GLM 5.2
MT-BenchMulti-turn conversation flow quality
9.7%vs9.3%+0.4% GPT-5.5
GPT-5.5 🏆
GLM 5.2

GPT-5.5 Quirks & Gotchas

  • ▸Best for JSON schema adherence — strict mode available via response_format parameter
  • ▸Requires explicit tool_choice for deterministic function calling

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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