Updated March 26, 2026· Based on independent benchmark data
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) and GLM-5 (Reasoning) are virtually tied on intelligence (51.7 vs 49.8). GLM-5 (Reasoning) is 3.0x cheaper at $1.00/1M tokens vs $3.00/1M.
| Metric | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | GLM-5 (Reasoning) |
|---|---|---|
| Intelligence Score | 51.7 | 49.8 |
| Coding Score | 50.9 | 44.2 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 71 tok/s | 66 tok/s |
| Latency (TTFT) | 32.16s | 0.98s |
| Input Price / 1M tokens | $3.00 | $1.00 |
| Output Price / 1M tokens | $15 | $3.20 |
| Context Window |
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) and GLM-5 (Reasoning) perform similarly on overall intelligence, scoring 51.7 and 49.8 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: Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) at 71 tok/s and GLM-5 (Reasoning) at 66 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, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) would cost approximately $18.00/month vs $6.00/month for GLM-5 (Reasoning) in input costs alone.
Choose Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) when you need stronger coding performance (50.9). Choose GLM-5 (Reasoning) when you need lower cost.
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, Claude Sonnet 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 |
Both models perform similarly on intelligence benchmarks. Choose based on specific needs: pricing, speed, context window, or provider ecosystem.