GLM 5.2 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 5.2 and GPT-5.5.
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,...
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...
Technical Specifications
| Specification | GLM 5.2 | GPT-5.5 |
|---|---|---|
| Provider | Zhipu AI | OpenAI |
| Context Window | 1,048,576 tokens | 1,050,000 tokens |
| Agent Suitability | N/A | 95/100 |
| Time to First Token (TTFT) | N/A | 380 ms |
| Deployment Model | managed api | managed api |
| Production Stability | beta | stable |
| API Available | Yes | Yes |
| Released Date | 2026-06-16 | 2026-04-24 |
API Pricing Comparison
Input Price per Million Tokens
GLM 5.2
$0.93
GPT-5.5
$5.00
Output Price per Million Tokens
GLM 5.2
$3.00
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.
GLM 5.2 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