GPT-5.6 Luna Pro vs GLM 5.2
Detailed technical comparison between GPT-5.6 Luna Pro (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.
Comparison Snapshot
GPT-5.6 Luna Pro
1,050,000 tokensTie
Equal CapabilityTie
Equal SpeedGLM 5.2
$0.80 / MTokGPT-5.6 Luna Pro
GPT-5.6 Luna Pro is the same underlying model as [GPT-5.6 Luna](https://openrouter.ai/openai/gpt-5.6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode
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,...
Technical Specifications
๐ = Superior Spec| Specification | GPT-5.6 Luna Pro | GLM 5.2 |
|---|---|---|
| Provider | OpenAI | Zhipu AI |
| Context Window | 1,050,000 tokens๐ | 1,048,576 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | beta | beta |
| API Available | Yes | Yes |
| Released Date | 2026-07-09 | 2026-06-16 |
API Pricing Comparison
Input Price per Million Tokens
GPT-5.6 Luna Pro
$1.00
GLM 5.2
$0.80
Output Price per Million Tokens
GPT-5.6 Luna Pro
$6.00
GLM 5.2
$2.52
๐ก Cost Ratio: GLM 5.2 is 1.2x cheaper per input token than GPT-5.6 Luna Pro.
Want to test both models live?
Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0โ100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
GPT-5.6 Luna Pro Quirks & Gotchas
No developer gotchas reported.
GLM 5.2 Quirks & Gotchas
No developer gotchas reported.
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