DeepSeek-V3.2-Exp vs GLM-4.5: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2-Exp | GLM-4.5 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | September 28, 2025 | July 27, 2025 |
| Parameters | 685B | 355B |
| Multimodal | No | No |
| Context (input) | 164K | 131K |
| Context (output) | 66K | 98K |
| Input Price / 1M | $0.27 | $0.60 |
| Output Price / 1M | $0.41 | $2.20 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
Visual Benchmark Comparison
DeepSeek-V3.2-Exp
GLM-4.5
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
Verdict
DeepSeek-V3.2-Exp leads in 3 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2-Exp — 0.8, GLM-4.5 — 0.8.
API Cost
DeepSeek-V3.2-Exp is 4.1x cheaper: input $0.27/1M vs $0.60/1M tokens.
Context Window
DeepSeek-V3.2-Exp supports a larger context: 164K vs 131K tokens.
Recency
DeepSeek-V3.2-Exp is newer: released 9/28/2025 vs 7/27/2025.
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The DeepSeek-V3.2-Exp and GLM-4.5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V3.2-Exp or GLM-4.5 page. See also the complete list of AI model comparisons.