Updated March 26, 2026· Based on independent benchmark data
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) leads in intelligence with a score of 53.0 vs 49.8. GLM-5 (Reasoning) is 5.0x cheaper at $1.00/1M tokens vs $5.00/1M.
| Metric | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | GLM-5 (Reasoning) |
|---|---|---|
| Intelligence Score | 53.0 | 49.8 |
| Coding Score | 48.1 | 44.2 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 51 tok/s | 66 tok/s |
| Latency (TTFT) | 12.63s | 0.98s |
| Input Price / 1M tokens | $5.00 | $1.00 |
| Output Price / 1M tokens | $25 | $3.20 |
| Context Window |
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) outperforms GLM-5 (Reasoning) on the intelligence index with a score of 53.0 compared to 49.8. For coding tasks, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) has the edge with a coding score of 48.1 vs 44.2.
GLM-5 (Reasoning) generates output significantly faster at 66 tok/s compared to Claude Opus 4.6 (Adaptive Reasoning, Max Effort)'s 51 tok/s, making it 1.3x faster for streaming responses. Time to first token is 0.98s for GLM-5 (Reasoning) vs 12.63s for Claude Opus 4.6 (Adaptive Reasoning, Max Effort), 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 4.6 (Adaptive Reasoning, Max Effort) costs $5.00/1M input ($25/1M output). That makes Claude Opus 4.6 (Adaptive Reasoning, Max Effort) 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, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) would cost approximately $30.00/month vs $6.00/month for GLM-5 (Reasoning) in input costs alone.
Choose Claude Opus 4.6 (Adaptive Reasoning, Max Effort) when you need higher intelligence (53.0), stronger coding performance (48.1). Choose GLM-5 (Reasoning) when you need lower cost.
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) scores higher on coding benchmarks (48.1 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 4.6 (Adaptive Reasoning, Max Effort).
GLM-5 (Reasoning) is faster, producing output at 66 tok/s compared to Claude Opus 4.6 (Adaptive Reasoning, Max Effort)'s 51 tok/s.
No, Claude Opus 4.6 (Adaptive Reasoning, Max Effort) does not support image input. Neither model supports image input.
Data last synced: March 26, 2026
| N/A |
| 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. Claude Opus 4.6 (Adaptive Reasoning, Max Effort) scores higher on intelligence (53.0), but GLM-5 (Reasoning) may be better for specific use cases like budget-conscious projects or speed-critical applications.