GLM-4.7-Flash vs GLM-5: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | GLM-5 |
|---|---|---|
| Company | Zhipu AI | Zhipu AI |
| Release Date | January 18, 2026 | February 10, 2026 |
| Parameters | 30B | 744B |
| Multimodal | No | No |
| Context (input) | 128K | 200K |
| Context (output) | 16K | 128K |
| Input Price / 1M | $0.07 | — |
| Output Price / 1M | $0.40 | $0.00 |
| Average Score | 0.6 | 0.7 |
| Benchmarks | ||
| BrowseComp | 0.4 | 0.8 |
| SWE-Bench Verified | 0.6 | 0.8 |
Visual Benchmark Comparison
GLM-4.7-Flash
GLM-5
BrowseComp0.4 vs 0.8
0.4
0.8
SWE-Bench Verified0.6 vs 0.8
0.6
0.8
Verdict
GLM-5 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.7-Flash — 0.6, GLM-5 — 0.7.
Programming
On SWE-Bench, both models are nearly equal: GLM-4.7-Flash — 0.6, GLM-5 — 0.8.
Context Window
GLM-5 supports a larger context: 200K vs 128K tokens.
Recency
GLM-5 is newer: released 2/10/2026 vs 1/18/2026.
More About These Models
Related Comparisons
The GLM-4.7-Flash and GLM-5 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.7-Flash or GLM-5 page. See also the complete list of AI model comparisons.