GLM-5 vs LongCat-Flash-Thinking-2601: Specs & Benchmark Comparison
| Characteristic | GLM-5 | LongCat-Flash-Thinking-2601 |
|---|---|---|
| Company | Zhipu AI | Meituan |
| Release Date | February 10, 2026 | January 13, 2026 |
| Parameters | 744B | 560B |
| Multimodal | No | No |
| Context (input) | 200K | — |
| Context (output) | 128K | — |
| Average Score | 0.7 | 0.8 |
| Benchmarks | ||
| BrowseComp | 0.8 | 0.6 |
| SWE-Bench Verified | 0.8 | 0.6 |
Visual Benchmark Comparison
GLM-5
LongCat-Flash-Thinking-2601
BrowseComp0.8 vs 0.6
0.8
0.6
SWE-Bench Verified0.8 vs 0.6
0.8
0.6
Verdict
GLM-5 leads in 1 out of 3 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-5 — 0.7, LongCat-Flash-Thinking-2601 — 0.8.
Programming
On SWE-Bench, both models are nearly equal: GLM-5 — 0.8, LongCat-Flash-Thinking-2601 — 0.6.
Recency
GLM-5 is newer: released 2/10/2026 vs 1/13/2026.
More About These Models
Related Comparisons
The GLM-5 and LongCat-Flash-Thinking-2601 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5 or LongCat-Flash-Thinking-2601 page. See also the complete list of AI model comparisons.