DeepSeek V3.2 Exp vs GLM 4.7 Flash
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 Exp and GLM 4.7 Flash.
DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Technical Specifications
| Specification | DeepSeek V3.2 Exp | GLM 4.7 Flash |
|---|---|---|
| Provider | DeepSeek | Zhipu AI |
| Context Window | 163,840 tokens | 202,752 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-09-29 | 2026-01-19 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V3.2 Exp
$0.27
GLM 4.7 Flash
$0.06
Output Price per Million Tokens
DeepSeek V3.2 Exp
$0.41
GLM 4.7 Flash
$0.40
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V3.2 Exp Quirks & Gotchas
No developer gotchas reported.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.