Intelligence Index 分数对应的成本快速下降：达 30 分比 5 个月前便宜 86 倍
想看模型价格怎么崩的可以看这篇：同个智能水平，GPT-6 Luna 只要 0.03 美元一任务，5 个月前 Claude Sonnet 4.6 要 2.49 美元。
Artificial Analysis 的 Intelligence Index 价格测算显示，模型一旦达到某个智能分数门槛，单位任务成本会迅速下滑。达到 30 分如今每任务成本比 2026 年 2 月首次达成时低 86 倍：GPT-6 Luna（high）每任务仅 0.03 美元，而率先达标的 Claude Sonnet 4.6（Adaptive Reasoning, Max Effort）当时为 2.49 美元。达到 20 分和 40 分的成本分别下降了 123 倍和 33 倍，达到 50 分的成本下降 18 倍，GPT-6.1 Sol（high）以每任务 0.32 美元实现 50 分。最高分模型一年内从 21 分升至 58 分，但价格约为原来的 11 倍，Claude Opus 5.5（Max Effort）每任务 5.98 美元。
Once Intelligence Index thresholds are reached, the cost of accessing that level of intelligence reduces fast. Reaching 30 on the Intelligence Index now costs 86x less per task than when first reached
Existing intelligence thresholds have become cheaper to reach, while the highest-scoring model costs more than the highest-scoring from one year ago.
Key takeaways:
➤ Reaching 20 is 123x cheaper than ~13 months ago; reaching 40 is 33x cheaper than ~5 months ago: measured models first reached these thresholds in September 2025 and May 2026.
➤ GPT-6 Luna (high) reaches 30 for $0.03/task: @OpenAI's model is 86x cheaper per task than @AnthropicAI's Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort), which first reached 30 in February 2026 at $2.49/task.
➤ Claude Haiku 5.5 (xhigh) is now cheapest to reach 40: it scores 41 at $0.12/task, 5% below GPT-6.1 Sol (low).
➤ Reaching 50 is 18x cheaper than when first reached: GPT-6.1 Sol (high) reaches it for $0.32/task.
➤ The highest measured score has risen from 21 to 58 in a year, at ~11x the cost: Claude Opus 5.5 (Adaptive Reasoning, Max Effort, Default Fallback) costs $5.98/task.
As of October 20, 2026, using measured v4.3.2 results and current prices, including for historical models.
