Updated March 26, 2026· Based on independent benchmark data
GLM-5 (Reasoning) and Claude Opus 4.5 (Reasoning) are virtually tied on intelligence (49.8 vs 49.7). GLM-5 (Reasoning) is 5.0x cheaper at $1.00/1M tokens vs $5.00/1M.
| Metric | GLM-5 (Reasoning) | Claude Opus 4.5 (Reasoning) |
|---|---|---|
| Intelligence Score | 49.8 | 49.7 |
| Coding Score | 44.2 | 47.8 |
| Math Score | N/A | 91.3 |
| Speed (tok/s) | 66 tok/s | 57 tok/s |
| Latency (TTFT) | 0.98s | 10.41s |
| Input Price / 1M tokens | $1.00 | $5.00 |
| Output Price / 1M tokens | $3.20 | $25 |
| Context Window | N/A |
GLM-5 (Reasoning) and Claude Opus 4.5 (Reasoning) perform similarly on overall intelligence, scoring 49.8 and 49.7 respectively. For coding tasks, Claude Opus 4.5 (Reasoning) has the edge with a coding score of 47.8 vs 44.2.
Both models deliver similar output speeds: GLM-5 (Reasoning) at 66 tok/s and Claude Opus 4.5 (Reasoning) at 57 tok/s. Time to first token is 0.98s for GLM-5 (Reasoning) vs 10.41s for Claude Opus 4.5 (Reasoning), which affects perceived responsiveness in interactive applications.
GLM-5 (Reasoning) is more affordable at $1.00/1M input tokens ($3.20/1M output), while Claude Opus 4.5 (Reasoning) costs $5.00/1M input ($25/1M output). That makes Claude Opus 4.5 (Reasoning) 5.0x more expensive per token, which can add up significantly at scale. For a typical workload of 100 requests per day at 2,000 tokens each, GLM-5 (Reasoning) would cost approximately $6.00/month vs $30.00/month for Claude Opus 4.5 (Reasoning) in input costs alone.
Choose GLM-5 (Reasoning) when you need lower cost. Choose Claude Opus 4.5 (Reasoning) when you need stronger coding performance (47.8).
Claude Opus 4.5 (Reasoning) scores higher on coding benchmarks (47.8 vs 44.2), making it the better choice for programming tasks.
GLM-5 (Reasoning) is cheaper at $1.00/1M input tokens vs $5.00/1M for Claude Opus 4.5 (Reasoning).
GLM-5 (Reasoning) is faster, producing output at 66 tok/s compared to Claude Opus 4.5 (Reasoning)'s 57 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 |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.