DeepSeek V4.1 Flash vs GLM-5-3 (Flagship)
A direct, empirical evaluation of DeepSeek V4.1 Flash (DeepSeek-AI) against GLM-5-3 (Flagship) (Zhipu AI & THUDM).
DeepSeek V4.1 Flash
Developed by DeepSeek-AI · 552B parameters
High-throughput software engineering, autonomous coding loops, terminal agents, 1M long-context retrieval, and low-cost production inference.
GLM-5-3 (Flagship)
Developed by Zhipu AI & THUDM · 744B parameters
Complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution.
| Metric | DeepSeek V4.1 Flash | GLM-5-3 (Flagship) |
|---|---|---|
| SWE-bench Verified | 67.2% | 54.8% |
| MMLU-Pro | 78.4% | 78.4% |
| MATH-500 | 92.6% | 93.6% |
| Context Window | 1,000,000 tokens | 256,000 tokens |
| Input Pricing (per 1M) | $0.06 | $0.55 |
| Output Pricing (per 1M) | $0.22 | $2.19 |
Architectural & Practical Deployment Analysis
Evaluating DeepSeek V4.1 Flash (DeepSeek-AI) alongside GLM-5-3 (Flagship) (Zhipu AI & THUDM) highlights key technical trade-offs across neural parameter scale and compute efficiency. DeepSeek V4.1 Flash executes across 552B total parameters with 8B input / 16B output active per token, whereas GLM-5-3 (Flagship) operates on 744B parameters with 44B active per token.
On SWE-bench Verified software engineering tasks, DeepSeek V4.1 Flash achieves 67.2% autonomous resolution rate, compared to 54.8% for GLM-5-3 (Flagship). On complex reasoning benchmarks, DeepSeek V4.1 Flash posts 78.4% on MMLU-Pro and 92.6% on MATH-500, against 78.4% and 93.6% respectively for GLM-5-3 (Flagship).
From an operational economics perspective, processing 10,000,000 mixed tokens (7M input / 3M output) costs approximately $1.04 on DeepSeek V4.1 Flash versus $10.42 on GLM-5-3 (Flagship).
Recommendation: Deploy DeepSeek V4.1 Flash when your infrastructure prioritizes high-throughput software engineering, autonomous coding loops, terminal agents, 1m long-context retrieval, and low-cost production inference.. Deploy GLM-5-3 (Flagship) when workload requirements favor complex algorithmic reasoning, multi-step code synthesis, and long-horizon tool execution..