GLM-4.7-Flash vs Kimi K2.5: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | Kimi K2.5 |
|---|---|---|
| Company | Zhipu AI | Moonshot AI |
| Release Date | January 18, 2026 | January 26, 2026 |
| Parameters | 30B | 1.0T |
| Multimodal | No | Yes |
| 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 | 0.9 |
| AIME 2025 | 0.9 | 1.0 |
Visual Benchmark Comparison
GLM-4.7-Flash
Kimi K2.5
GPQA0.8 vs 0.9
0.8
0.9
AIME 20250.9 vs 1.0
0.9
1.0
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, Kimi K2.5 — 0.9.
Recency
Both models were released around the same time: 1/18/2026 and 1/26/2026.
More About These Models
Related Comparisons
The GLM-4.7-Flash and Kimi K2.5 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 Kimi K2.5 page. See also the complete list of AI model comparisons.