Updated March 26, 2026· Based on independent benchmark data
GLM-5 (Reasoning) leads in intelligence with a score of 49.8 vs 46.8. Kimi K2.5 (Reasoning) is 1.7x cheaper at $0.60/1M tokens vs $1.00/1M. For speed, GLM-5 (Reasoning) wins at 66 tok/s vs 34 tok/s.
| Metric | GLM-5 (Reasoning) | Kimi K2.5 (Reasoning) |
|---|---|---|
| Intelligence Score | 49.8 | 46.8 |
| Coding Score | 44.2 | 39.5 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 66 tok/s | 34 tok/s |
| Latency (TTFT) | 0.98s | 1.40s |
| Input Price / 1M tokens | $1.00 | $0.60 |
| Output Price / 1M tokens | $3.20 | $3.00 |
| Context Window | N/A |
GLM-5 (Reasoning) outperforms Kimi K2.5 (Reasoning) on the intelligence index with a score of 49.8 compared to 46.8. For coding tasks, GLM-5 (Reasoning) has the edge with a coding score of 44.2 vs 39.5.
GLM-5 (Reasoning) generates output significantly faster at 66 tok/s compared to Kimi K2.5 (Reasoning)'s 34 tok/s, making it 2.0x faster for streaming responses. Time to first token is 0.98s for GLM-5 (Reasoning) vs 1.40s for Kimi K2.5 (Reasoning), which affects perceived responsiveness in interactive applications.
Kimi K2.5 (Reasoning) is more affordable at $0.60/1M input tokens ($3.00/1M output), while GLM-5 (Reasoning) costs $1.00/1M input ($3.20/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, GLM-5 (Reasoning) would cost approximately $6.00/month vs $3.60/month for Kimi K2.5 (Reasoning) in input costs alone.
Choose GLM-5 (Reasoning) when you need higher intelligence (49.8), stronger coding performance (44.2), faster output (66 tok/s). Choose Kimi K2.5 (Reasoning) when you need lower cost.
GLM-5 (Reasoning) scores higher on coding benchmarks (44.2 vs 39.5), making it the better choice for programming tasks.
Kimi K2.5 (Reasoning) is cheaper at $0.60/1M input tokens vs $1.00/1M for GLM-5 (Reasoning).
GLM-5 (Reasoning) is faster, producing output at 66 tok/s compared to Kimi K2.5 (Reasoning)'s 34 tok/s.
No, GLM-5 (Reasoning) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| N/A |
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |
It depends on your priorities. GLM-5 (Reasoning) scores higher on intelligence (49.8), but Kimi K2.5 (Reasoning) may be better for specific use cases like budget-conscious projects or speed-critical applications.