GLM-4.7-Flash vs LongCat-Flash-Thinking: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | LongCat-Flash-Thinking |
|---|---|---|
| Company | Zhipu AI | Meituan |
| Release Date | January 18, 2026 | September 21, 2025 |
| 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 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| SWE-Bench Verified | 0.6 | 0.6 |
| AIME 2025 | 0.9 | 0.9 |
Visual Benchmark Comparison
GLM-4.7-Flash
LongCat-Flash-Thinking
GPQA0.8 vs 0.8
0.8
0.8
SWE-Bench Verified0.6 vs 0.6
0.6
0.6
AIME 20250.9 vs 0.9
0.9
0.9
Verdict
GLM-4.7-Flash leads in 1 out of 3 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.7-Flash — 0.6, LongCat-Flash-Thinking — 0.9.
Programming
On SWE-Bench, both models are nearly equal: GLM-4.7-Flash — 0.6, LongCat-Flash-Thinking — 0.6.
Recency
GLM-4.7-Flash is newer: released 1/18/2026 vs 9/21/2025.
More About These Models
Related Comparisons
The GLM-4.7-Flash and LongCat-Flash-Thinking 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 page. See also the complete list of AI model comparisons.