DeepSeek-V4-Flash-0731 vs GLM-5.3: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Flash-0731 | GLM-5.3 |
|---|---|---|
| Company | DeepSeek | Zhipu AI |
| Release Date | July 31, 2026 | August 14, 2026 |
| Parameters | 304B | 753B |
| Multimodal | No | No |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 393K | 131K |
| Input Price / 1M | $0.14 | $1.40 |
| Output Price / 1M | $0.28 | $4.40 |
| Average Score | 0.7 | 0.8 |
| Benchmarks | ||
| CyberGym | 0.8 | 0.8 |
| Terminal-Bench 2.1 | 0.8 | 0.9 |
Visual Benchmark Comparison
DeepSeek-V4-Flash-0731
GLM-5.3
CyberGym0.8 vs 0.8
0.8
0.8
Terminal-Bench 2.10.8 vs 0.9
0.8
0.9
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.7, GLM-5.3 — 0.8.
API Cost
DeepSeek-V4-Flash-0731 is 13.8x cheaper: input $0.14/1M vs $1.40/1M tokens.
Context Window
Same context size: 1M tokens.
Recency
GLM-5.3 is newer: released 8/14/2026 vs 7/31/2026.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Flash-0731 or GLM-5.3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-0731 or GLM-5.3?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $1.40.
Which has a larger context window — DeepSeek-V4-Flash-0731 or GLM-5.3?
DeepSeek-V4-Flash-0731 supports a larger context: 1,000,000 tokens vs 1,000,000.
The DeepSeek-V4-Flash-0731 and GLM-5.3 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-Flash-0731 or GLM-5.3 page. See also the complete list of AI model comparisons.