GLM-4.7-Flash vs LongCat-Flash-Thinking-2601: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | LongCat-Flash-Thinking-2601 |
|---|---|---|
| Company | Zhipu AI | Meituan |
| Release Date | January 18, 2026 | January 13, 2026 |
| Parameters | 30B | 560B |
| Multimodal | No | No |
| Context (input) | 128K | — |
| Context (output) | 16K | — |
| Input Price / 1M | $0.07 | — |
| Output Price / 1M | $0.40 | — |
| Average Score | 0.6 | 0.8 |
| Benchmarks | ||
| BrowseComp | 0.4 | 0.6 |
| AIME 2025 | 0.9 | 1.0 |
| GPQA | 0.8 | 0.8 |
| SWE-Bench Verified | 0.6 | 0.6 |
Visual Benchmark Comparison
GLM-4.7-Flash
LongCat-Flash-Thinking-2601
BrowseComp0.4 vs 0.6
0.4
0.6
AIME 20250.9 vs 1.0
0.9
1.0
GPQA0.8 vs 0.8
0.8
0.8
SWE-Bench Verified0.6 vs 0.6
0.6
0.6
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-4.7-Flash — 0.6, LongCat-Flash-Thinking-2601 — 0.8.
Programming
On SWE-Bench, both models are nearly equal: GLM-4.7-Flash — 0.6, LongCat-Flash-Thinking-2601 — 0.6.
Recency
Both models were released around the same time: 1/18/2026 and 1/13/2026.
More About These Models
Related Comparisons
The GLM-4.7-Flash 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-4.7-Flash or LongCat-Flash-Thinking-2601 page. See also the complete list of AI model comparisons.