Updated March 26, 2026· Based on independent benchmark data
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) leads in intelligence with a score of 51.7 vs 45.0. Qwen3.5 397B A17B (Reasoning) is 5.0x cheaper at $0.60/1M tokens vs $3.00/1M. For speed, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) wins at 71 tok/s vs 53 tok/s.
| Metric | Qwen3.5 397B A17B (Reasoning) | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Intelligence Score | 45.0 | 51.7 |
| Coding Score | 41.3 | 50.9 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 53 tok/s | 71 tok/s |
| Latency (TTFT) | 1.46s | 32.16s |
| Input Price / 1M tokens | $0.60 | $3.00 |
| Output Price / 1M tokens | $3.60 | $15 |
| Context Window |
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) outperforms Qwen3.5 397B A17B (Reasoning) on the intelligence index with a score of 51.7 compared to 45.0. For coding tasks, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) has the edge with a coding score of 50.9 vs 41.3.
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) generates output significantly faster at 71 tok/s compared to Qwen3.5 397B A17B (Reasoning)'s 53 tok/s, making it 1.3x faster for streaming responses. Time to first token is 1.46s for Qwen3.5 397B A17B (Reasoning) vs 32.16s for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort), which affects perceived responsiveness in interactive applications.
Qwen3.5 397B A17B (Reasoning) is more affordable at $0.60/1M input tokens ($3.60/1M 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) 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, Qwen3.5 397B A17B (Reasoning) would cost approximately $3.60/month vs $18.00/month for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) in input costs alone.
Choose Qwen3.5 397B A17B (Reasoning) when you need lower cost. Choose Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) when you need higher intelligence (51.7), stronger coding performance (50.9), faster output (71 tok/s).
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) scores higher on coding benchmarks (50.9 vs 41.3), making it the better choice for programming tasks.
Qwen3.5 397B A17B (Reasoning) is cheaper at $0.60/1M 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 Qwen3.5 397B A17B (Reasoning)'s 53 tok/s.
No, Qwen3.5 397B A17B (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 |
It depends on your priorities. Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) scores higher on intelligence (51.7), but Qwen3.5 397B A17B (Reasoning) may be better for specific use cases like budget-conscious projects or speed-critical applications.