GLM-4.7-Flash vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | GLM-4.7-Flash | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | Zhipu AI | Moonshot AI |
| Release Date | January 18, 2026 | September 4, 2025 |
| Parameters | 30B | 1.0T |
| Multimodal | No | No |
| Context (input) | 128K | 262K |
| Context (output) | 16K | 66K |
| Input Price / 1M | $0.07 | $0.60 |
| Output Price / 1M | $0.40 | $2.40 |
| Average Score | 0.6 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| AIME 2025 | 0.9 | 1.0 |
Visual Benchmark Comparison
GLM-4.7-Flash
Kimi K2-Thinking-0905
GPQA0.8 vs 0.8
0.8
0.8
AIME 20250.9 vs 1.0
0.9
1.0
Verdict
GLM-4.7-Flash leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.7-Flash — 0.6, Kimi K2-Thinking-0905 — 0.9.
API Cost
GLM-4.7-Flash is 6.4x cheaper: input $0.07/1M vs $0.60/1M tokens.
Context Window
Kimi K2-Thinking-0905 supports a larger context: 262K vs 128K tokens.
Recency
GLM-4.7-Flash is newer: released 1/18/2026 vs 9/4/2025.
More About These Models
Related Comparisons
The GLM-4.7-Flash and Kimi K2-Thinking-0905 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-Thinking-0905 page. See also the complete list of AI model comparisons.