GLM-4.5 vs LongCat-Flash-Thinking: Specs & Benchmark Comparison
| Characteristic | GLM-4.5 | LongCat-Flash-Thinking |
|---|---|---|
| Company | Zhipu AI | Meituan |
| Release Date | July 27, 2025 | September 21, 2025 |
| Parameters | 355B | 560B |
| Multimodal | No | No |
| Context (input) | 131K | — |
| Context (output) | 98K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $2.20 | — |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
| AIME 2024 | 0.9 | 0.9 |
| MATH-500 | 1.0 | 1.0 |
Visual Benchmark Comparison
GLM-4.5
LongCat-Flash-Thinking
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
AIME 20240.9 vs 0.9
0.9
0.9
MATH-5001.0 vs 1.0
1.0
1.0
Verdict
LongCat-Flash-Thinking leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.5 — 0.8, LongCat-Flash-Thinking — 0.9.
Recency
LongCat-Flash-Thinking is newer: released 9/21/2025 vs 7/27/2025.
More About These Models
Related Comparisons
The GLM-4.5 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-4.5 or LongCat-Flash-Thinking page. See also the complete list of AI model comparisons.