GLM-5.2 vs GPT-5.6 Luna: Specs & Benchmark Comparison
| Characteristic | GLM-5.2 | GPT-5.6 Luna |
|---|---|---|
| Company | Zhipu AI | OpenAI |
| Release Date | June 16, 2026 | July 9, 2026 |
| Parameters | 753B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.1M |
| Context (output) | 131K | 128K |
| Input Price / 1M | $1.40 | $0.20 |
| Output Price / 1M | $4.40 | $1.20 |
| Average Score | 0.9 | 0.5 |
| Benchmarks | ||
| GPQA | 0.9 | 0.9 |
Visual Benchmark Comparison
GLM-5.2
GPT-5.6 Luna
GPQA0.9 vs 0.9
0.9
0.9
Verdict
GPT-5.6 Luna leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.2 — 0.9, GPT-5.6 Luna — 0.5.
API Cost
GPT-5.6 Luna is 4.1x cheaper: input $0.20/1M vs $1.40/1M tokens.
Context Window
GPT-5.6 Luna supports a larger context: 1M vs 1M tokens.
Recency
GPT-5.6 Luna is newer: released 7/9/2026 vs 6/16/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or GPT-5.6 Luna?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.2 or GPT-5.6 Luna?
GPT-5.6 Luna is cheaper for input: $0.20 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.2 or GPT-5.6 Luna?
GPT-5.6 Luna supports a larger context: 1,050,000 tokens vs 1,000,000.
The GLM-5.2 and GPT-5.6 Luna comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or GPT-5.6 Luna page. See also the complete list of AI model comparisons.