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 48.1. GPT-5.4 mini (xhigh) is 6.7x cheaper at $0.75/1M tokens vs $5.00/1M. For speed, GPT-5.4 mini (xhigh) wins at 218 tok/s vs 51 tok/s.
| Metric | Claude Opus 4.6 (Adaptive Reasoning, Max Effort) | GPT-5.4 mini (xhigh) |
|---|---|---|
| Intelligence Score | 53.0 | 48.1 |
| Coding Score | 48.1 | 51.5 |
| Math Score | N/A | N/A |
| Speed (tok/s) | 51 tok/s | 218 tok/s |
| Latency (TTFT) | 12.63s | 7.45s |
| Input Price / 1M tokens | $5.00 | $0.75 |
| Output Price / 1M tokens | $25 | $4.50 |
| Context Window |
Claude Opus 4.6 (Adaptive Reasoning, Max Effort) outperforms GPT-5.4 mini (xhigh) on the intelligence index with a score of 53.0 compared to 48.1. For coding tasks, GPT-5.4 mini (xhigh) has the edge with a coding score of 51.5 vs 48.1.
GPT-5.4 mini (xhigh) generates output significantly faster at 218 tok/s compared to Claude Opus 4.6 (Adaptive Reasoning, Max Effort)'s 51 tok/s, making it 4.3x faster for streaming responses. Time to first token is 7.45s for GPT-5.4 mini (xhigh) vs 12.63s for Claude Opus 4.6 (Adaptive Reasoning, Max Effort), which affects perceived responsiveness in interactive applications.
GPT-5.4 mini (xhigh) is more affordable at $0.75/1M input tokens ($4.50/1M 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) 6.7x 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 $4.50/month for GPT-5.4 mini (xhigh) in input costs alone.
Choose Claude Opus 4.6 (Adaptive Reasoning, Max Effort) when you need higher intelligence (53.0). Choose GPT-5.4 mini (xhigh) when you need stronger coding performance (51.5), faster output (218 tok/s), lower cost.
GPT-5.4 mini (xhigh) scores higher on coding benchmarks (51.5 vs 48.1), making it the better choice for programming tasks.
GPT-5.4 mini (xhigh) is cheaper at $0.75/1M input tokens vs $5.00/1M for Claude Opus 4.6 (Adaptive Reasoning, Max Effort).
GPT-5.4 mini (xhigh) is faster, producing output at 218 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 GPT-5.4 mini (xhigh) may be better for specific use cases like budget-conscious projects or speed-critical applications.