DeepSeek-V4-Pro-0813 vs GLM-5.2: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Pro-0813 | GLM-5.2 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | August 13, 2026 | June 16, 2026 |
| Parameters | 1.6T | 753B |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 131K |
| Input Price / 1M | $1.32 | $1.40 |
| Output Price / 1M | $3.96 | $4.40 |
| Average Score | 0.8 | 0.9 |
Verdict
DeepSeek-V4-Pro-0813 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, GLM-5.2 — 0.9.
API Cost
DeepSeek-V4-Pro-0813 is 1.1x cheaper: input $1.32/1M vs $1.40/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 6/16/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or GLM-5.2?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or GLM-5.2?
DeepSeek-V4-Pro-0813 is cheaper for input: $1.32 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4-Pro-0813 or GLM-5.2?
DeepSeek-V4-Pro-0813 supports a larger context: 1,000,000 tokens vs 1,000,000.
The DeepSeek-V4-Pro-0813 and GLM-5.2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or GLM-5.2 page. See also the complete list of AI model comparisons.