DeepSeek-V4-Pro-0813 vs GLM-5.2: Specs & Benchmark Comparison
DeepSeek-V4-Pro-0813 is developed by DeepSeek, while GLM-5.2 comes from Zhipu AI. GLM-5.2 was released in June 2026, and DeepSeek-V4-Pro-0813 followed 2 months later in August 2026. DeepSeek-V4-Pro-0813 is the larger model at roughly 1.6 trillion parameters, against 753 billion for GLM-5.2.
We have 4 benchmark results for DeepSeek-V4-Pro-0813 and 4 benchmark results for GLM-5.2, but they were measured on different benchmarks, so there is no like-for-like scoreboard.
On price the two are close: DeepSeek-V4-Pro-0813 costs $1.32 per million input tokens and $3.96 per million output tokens, GLM-5.2 $1.40 and $4.40. Both accept a context window of about 1M tokens.
| 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 | 79.0% | 94.3% |
Verdict
DeepSeek-V4-Pro-0813 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, GLM-5.2 — 0.9.
DeepSeek-V4-Pro-0813 is 1.1x cheaper: input $1.32/1M vs $1.40/1M tokens.
GLM-5.2 supports a larger context: 1M vs 1M tokens.
DeepSeek-V4-Pro-0813 is newer: released 8/13/2026 vs 6/16/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or GLM-5.2?
Which model is cheaper — DeepSeek-V4-Pro-0813 or GLM-5.2?
Which has a larger context window — DeepSeek-V4-Pro-0813 or GLM-5.2?
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.