GLM-4.5 vs Kimi K2-Thinking-0905: Specs & Benchmark Comparison
| Characteristic | GLM-4.5 | Kimi K2-Thinking-0905 |
|---|---|---|
| Company | Zhipu AI | Moonshot AI |
| Release Date | July 27, 2025 | September 4, 2025 |
| Parameters | 355B | 1.0T |
| Multimodal | No | No |
| Context (input) | 131K | 262K |
| Context (output) | 98K | 66K |
| Input Price / 1M | $0.60 | $0.60 |
| Output Price / 1M | $2.20 | $2.40 |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| GPQA | 0.8 | 0.8 |
| MMLU-Pro | 0.8 | 0.8 |
Visual Benchmark Comparison
GLM-4.5
Kimi K2-Thinking-0905
GPQA0.8 vs 0.8
0.8
0.8
MMLU-Pro0.8 vs 0.8
0.8
0.8
Verdict
Kimi K2-Thinking-0905 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.5 — 0.8, Kimi K2-Thinking-0905 — 0.9.
API Cost
GLM-4.5 is 1.1x cheaper: input $0.60/1M vs $0.60/1M tokens.
Context Window
Kimi K2-Thinking-0905 supports a larger context: 262K vs 131K tokens.
Recency
Kimi K2-Thinking-0905 is newer: released 9/4/2025 vs 7/27/2025.
More About These Models
Related Comparisons
The GLM-4.5 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-4.5 or Kimi K2-Thinking-0905 page. See also the complete list of AI model comparisons.