Updated March 26, 2026· Based on independent benchmark data
GLM-5 (Reasoning) and Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) are virtually tied on intelligence (49.8 vs 51.7). GLM-5 (Reasoning) is 3.0x cheaper at $1.00/1M tokens vs $3.00/1M.
| Metric | GLM-5 (Reasoning) | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Intelligence Score | 49.8 | 51.7 |
| Coding Score | 44.2 | 50.9 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 66 tok/s | 71 tok/s |
| Latency (TTFT) | 0.98s | 32.16s |
| Input Price / 1M tokens | $1.00 | $3.00 |
| Output Price / 1M tokens | $3.20 | $15 |
| Context Window |
GLM-5 (Reasoning) and Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) perform similarly on overall intelligence, scoring 49.8 and 51.7 respectively. For coding tasks, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) has the edge with a coding score of 50.9 vs 44.2.
Both models deliver similar output speeds: GLM-5 (Reasoning) at 66 tok/s and Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) at 71 tok/s. Time to first token is 0.98s for GLM-5 (Reasoning) vs 32.16s for Claude Sonnet 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 Sonnet 4.6 (Adaptive Reasoning, Max Effort) costs $3.00/1M input ($15/1M output). That makes Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) 3.0x 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 $18.00/month for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) in input costs alone.
Choose GLM-5 (Reasoning) when you need lower cost. Choose Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) when you need stronger coding performance (50.9).
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) scores higher on coding benchmarks (50.9 vs 44.2), making it the better choice for programming tasks.
GLM-5 (Reasoning) is cheaper at $1.00/1M input tokens vs $3.00/1M for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort).
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) is faster, producing output at 71 tok/s compared to GLM-5 (Reasoning)'s 66 tok/s.
No, GLM-5 (Reasoning) 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 |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.