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 49.6. MiniMax-M2.7 is 10.0x cheaper at $0.30/1M tokens vs $3.00/1M. For speed, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) wins at 71 tok/s vs 45 tok/s.
| Metric | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | MiniMax-M2.7 |
|---|---|---|
| Intelligence Score | 51.7 | 49.6 |
| Coding Score | 50.9 | 41.9 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 71 tok/s | 45 tok/s |
| Latency (TTFT) | 32.16s | 1.78s |
| Input Price / 1M tokens | $3.00 | $0.30 |
| Output Price / 1M tokens | $15 | $1.20 |
| Context Window |
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) outperforms MiniMax-M2.7 on the intelligence index with a score of 51.7 compared to 49.6. For coding tasks, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) has the edge with a coding score of 50.9 vs 41.9.
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) generates output significantly faster at 71 tok/s compared to MiniMax-M2.7's 45 tok/s, making it 1.6x faster for streaming responses. Time to first token is 1.78s for MiniMax-M2.7 vs 32.16s for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort), which affects perceived responsiveness in interactive applications.
MiniMax-M2.7 is more affordable at $0.30/1M input tokens ($1.20/1M 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) 10.0x 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 $1.80/month for MiniMax-M2.7 in input costs alone.
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). Choose MiniMax-M2.7 when you need lower cost.
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) scores higher on coding benchmarks (50.9 vs 41.9), making it the better choice for programming tasks.
MiniMax-M2.7 is cheaper at $0.30/1M 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 MiniMax-M2.7's 45 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 |
It depends on your priorities. Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) scores higher on intelligence (51.7), but MiniMax-M2.7 may be better for specific use cases like budget-conscious projects or speed-critical applications.