← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GLM 5 vs GPT-5.5

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 and GPT-5.5.

Zhipu AI

GLM 5

GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading...

View Full Specs
OpenAI

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 Full Specs

Technical Specifications

SpecificationGLM 5GPT-5.5
ProviderZhipu AIOpenAI
Context Window202,752 tokens1,050,000 tokens
Agent SuitabilityN/A95/100
Time to First Token (TTFT)N/A380 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-112026-04-24

API Pricing Comparison

Input Price per Million Tokens

GLM 5

$0.60

GPT-5.5

$5.00

Output Price per Million Tokens

GLM 5

$1.92

GPT-5.5

$30.00

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
8650.0%vs9420.0%
GLM 5
GPT-5.5
HumanEvalPython coding & logic synthesis
8700.0%vs9680.0%
GLM 5
GPT-5.5
MATHComplex mathematical problem solving
7400.0%vs9350.0%
GLM 5
GPT-5.5
GPQAGraduate-level expert reasoning
4800.0%vs8420.0%
GLM 5
GPT-5.5
HellaSwagCommonsense reasoning and inference
8700.0%vs9900.0%
GLM 5
GPT-5.5
MT-BenchMulti-turn conversation flow quality
910.0%vs970.0%
GLM 5
GPT-5.5

GLM 5 Quirks & Gotchas

No developer gotchas reported.

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