DeepSeek-V3.2 (Thinking) vs GLM-4.5: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V3.2 (Thinking) | GLM-4.5 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | November 30, 2025 | July 27, 2025 |
| Parameters | 685B | 355B |
| Multimodal | No | No |
| Context (input) | 131K | 131K |
| Context (output) | 66K | 98K |
| Input Price / 1M | $0.28 | $0.60 |
| Output Price / 1M | $0.42 | $2.20 |
| Average Score | 0.9 | 0.8 |
| Benchmarks | ||
| LiveCodeBench | 0.8 | 0.7 |
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
Visual Benchmark Comparison
DeepSeek-V3.2 (Thinking)
GLM-4.5
LiveCodeBench0.8 vs 0.7
0.8
0.7
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
Verdict
DeepSeek-V3.2 (Thinking) leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: DeepSeek-V3.2 (Thinking) — 0.9, GLM-4.5 — 0.8.
API Cost
DeepSeek-V3.2 (Thinking) is 4.0x cheaper: input $0.28/1M vs $0.60/1M tokens.
Context Window
Same context size: 131K tokens.
Recency
DeepSeek-V3.2 (Thinking) is newer: released 11/30/2025 vs 7/27/2025.
More About These Models
Related Comparisons
The DeepSeek-V3.2 (Thinking) 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 (Thinking) or GLM-4.5 page. See also the complete list of AI model comparisons.