Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) | Claude Opus 5 (Adaptive Reasoning, Max Effort) |
|---|---|---|
| Input ($/M tokens) | $5 | $5 |
| Output ($/M tokens) | $25 | $25 |
Verdict. Claude Opus 5 (Adaptive Reasoning, Max Effort) takes the aggregate benchmark matchup 2–0 across 2 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the premium bracket for output-token pricing. At 1.0× the per-million-token cost, Claude Opus 5 (Adaptive Reasoning, Max Effort) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Claude Opus 5 (Adaptive Reasoning, Max Effort) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) is strongest on Coding Index (77.0), Intelligence Index (62.5). Claude Opus 5 (Adaptive Reasoning, Max Effort) leads on Coding Index (78.0), Intelligence Index (63.1).
Speed. Throughput is comparable — 54 tok/s vs 53 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.
Provider. Both models come from the same vendor, so the choice comes down to which tier or generation fits your workload — not vendor lock-in.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) costs $525.00 ($6300/year); Claude Opus 5 (Adaptive Reasoning, Max Effort) costs $525.00 ($6300/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) ≈ $75.00/run, Claude Opus 5 (Adaptive Reasoning, Max Effort) ≈ $75.00/run. At agent/realtime scale (200M input / 100M output per million requests): Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) ≈ $3500/run, Claude Opus 5 (Adaptive Reasoning, Max Effort) ≈ $3500/run.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.
Claude Opus 5 (Adaptive Reasoning, Max Effort) wins 2 out of 12 benchmarks compared to 0 for Claude Opus 5 (Adaptive Reasoning, Xhigh Effort). See the detailed benchmark chart above for per-category results.
Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) generates tokens faster at 54 tok/s vs 53 tok/s. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) also has lower time-to-first-token (40.50s vs 59.97s).
Choose based on your priorities: both are similarly priced, Claude Opus 5 (Adaptive Reasoning, Max Effort) for stronger benchmark performance, and Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) for faster generation. For latency-sensitive apps, check the TTFT comparison above.