GLM-5.2 vs GPT-6 Astra: Specs & Benchmark Comparison
| Characteristic | GLM-5.2 | GPT-6 Astra |
|---|---|---|
| Company | Zhipu AI | OpenAI |
| Release Date | June 16, 2026 | September 3, 2026 |
| Parameters | 753B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.1M |
| Context (output) | 131K | 128K |
| Input Price / 1M | $1.40 | $10.00 |
| Output Price / 1M | $4.40 | $50.00 |
| Average Score | 0.9 | 0.7 |
| Benchmarks | ||
| GPQA | 0.9 | 1.0 |
Visual Benchmark Comparison
GLM-5.2
GPT-6 Astra
GPQA0.9 vs 1.0
0.9
1.0
Verdict
GPT-6 Astra leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5.2 — 0.9, GPT-6 Astra — 0.7.
API Cost
GLM-5.2 is 10.3x cheaper: input $1.40/1M vs $10.00/1M tokens.
Context Window
GPT-6 Astra supports a larger context: 1M vs 1M tokens.
Recency
GPT-6 Astra is newer: released 9/3/2026 vs 6/16/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.2 or GPT-6 Astra?
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-6 Astra?
GLM-5.2 is cheaper for input: $1.40 per 1M tokens vs $10.00.
Which has a larger context window — GLM-5.2 or GPT-6 Astra?
GPT-6 Astra supports a larger context: 1,050,000 tokens vs 1,048,576.
The GLM-5.2 and GPT-6 Astra 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-6 Astra page. See also the complete list of AI model comparisons.