# GPT-5.5 价格上涨：实际成本几何

- 来源：OpenRouter：Announcements（RSS）
- 作者：Justin Summerville
- 发布时间：2026-05-04 08:00
- AIHOT 分数：59
- AIHOT 标记：精选
- AIHOT 链接：https://aihot.news/items/cmormma1d00prslrjlz268jku
- 原文链接：https://openrouter.ai/announcements/gpt55-cost-analysis

## 精选理由

OpenAI 把 GPT-5.5 的单价翻倍让很多人心凉，但 OpenRouter 的实测显示净成本变化没那么大。如果你用 API 构建应用，这篇能帮你冷静算账。

## AI 摘要

OpenAI 将 GPT-5.5 的按 token 计价提高了一倍，但新模型在输出上更为简洁。通过实际使用测量发现，尽管单价上涨，由于模型响应更精炼、消耗的 token 数量减少，最终净成本影响可能低于预期。关键变化在于单位价格与模型效率之间的平衡，实际支出需结合具体使用场景和生成长度综合评估。

## 正文

Methodology: Same Switcher Cohort Approach

Methodology: Same Switcher Cohort Approach GPT-5.5 Is Less Verbose, But Only for Longer Prompts Actual Cost Impact Methodology

We replicated the cost analysis we did on Opus on the new GPT-5.5 model. GPT-5.5 launched with a 2x price increase over GPT-5.4: input tokens increased from $2.50/M to $5.00/M and output tokens from $15/M to $30/M. OpenAI has also noted that the model is less verbose, producing shorter completions for the same tasks. Just as we did with Opus 4.7 we wanted to know what is the net impact on costs to users by analyzing usage that shifted from GPT-5.4 to GPT-5.5.

Methodology: Same Switcher Cohort Approach

GPT-5.5 Is Less Verbose, But Only for Longer Prompts

Prompt Size Median Completion (5.4) Median Completion (5.5) Change

< 2K tokens 121 129 +7%

2K – 10K 140 213 +52%

10K – 25K 211 143 -32%

25K – 50K 185 150 -19%

50K – 128K 188 136 -28%

128K+ 215 143 -34%

Actual Cost Impact

Prompt Size Avg $/M OR Tokens (5.4) Avg $/M OR Tokens (5.5) Change

< 2K tokens $4.89 $9.37 +92%

2K – 10K $2.25 $3.81 +69%

10K – 25K $1.42 $2.15 +51%

25K – 50K $1.02 $1.65 +62%

50K – 128K $0.74 $1.10 +49%

128K+ $0.71 $1.31 +85%

Methodology

Source: OpenRouter’s request logs

Cohort: Users whose top model by request count was GPT-5.4, who then switched to GPT-5.5 as their top model

Sample size: Text-only, non-cancelled requests split across 5.4 and 5.5

Windows: GPT-5.4: April 21-23, 2026 (pre-launch); GPT-5.5: April 25-28, 2026 (post-launch, launch day excluded)

Normalization: Cost per million OpenRouter tokens, bucketed by prompt token count. OpenRouter counts tokens independently from OpenAI, providing a consistent baseline across model versions.

Controls: Excluded media (images, files, audio, video), cancelled requests, and zero-token requests