Updated March 26, 2026· Based on independent benchmark data
GPT-5.2 (xhigh) and GLM-5 (Reasoning) are virtually tied on intelligence (51.3 vs 49.8). GLM-5 (Reasoning) is 1.8x cheaper at $1.00/1M tokens vs $1.75/1M.
| Metric | GPT-5.2 (xhigh) | GLM-5 (Reasoning) |
|---|---|---|
| Intelligence Score | 51.3 | 49.8 |
| Coding Score | 48.7 | 44.2 |
| Math Score | 99.0 | N/A |
| Speed (tok/s) | 70 tok/s | 66 tok/s |
| Latency (TTFT) | 75.24s | 0.98s |
| Input Price / 1M tokens | $1.75 | $1.00 |
| Output Price / 1M tokens | $14 | $3.20 |
| Context Window | N/A | N/A |
GPT-5.2 (xhigh) and GLM-5 (Reasoning) perform similarly on overall intelligence, scoring 51.3 and 49.8 respectively. For coding tasks, GPT-5.2 (xhigh) has the edge with a coding score of 48.7 vs 44.2.
Both models deliver similar output speeds: GPT-5.2 (xhigh) at 70 tok/s and GLM-5 (Reasoning) at 66 tok/s. Time to first token is 0.98s for GLM-5 (Reasoning) vs 75.24s for GPT-5.2 (xhigh), which affects perceived responsiveness in interactive applications.
GLM-5 (Reasoning) is more affordable at $1.00/1M input tokens ($3.20/1M output), while GPT-5.2 (xhigh) costs $1.75/1M input ($14/1M output). For a typical workload of 100 requests per day at 2,000 tokens each, GPT-5.2 (xhigh) would cost approximately $10.50/month vs $6.00/month for GLM-5 (Reasoning) in input costs alone.
Choose GPT-5.2 (xhigh) when you need stronger coding performance (48.7). Choose GLM-5 (Reasoning) when you need lower cost.
GPT-5.2 (xhigh) scores higher on coding benchmarks (48.7 vs 44.2), making it the better choice for programming tasks.
GLM-5 (Reasoning) is cheaper at $1.00/1M input tokens vs $1.75/1M for GPT-5.2 (xhigh).
GPT-5.2 (xhigh) is faster, producing output at 70 tok/s compared to GLM-5 (Reasoning)'s 66 tok/s.
No, GPT-5.2 (xhigh) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| Max Output Tokens | N/A | N/A |
| Input Modalities | Text | Text |
| Output Modalities | Text | Text |
| Free Tier | No | No |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.