GPT-5.5

GPT-5.5 通过 · 3 sentences

Enabling reasoning makes the model do additional internal “thinking” before producing the final answer, which consumes more compute and billable tokens. Even if user volume and output length stayed the same, each request now costs more because the model is spending extra capacity to solve the problem. In short, we bought higher-quality answers, but the unit cost per answer increased enough to double the total LLM bill.

输出 131 tok (+42 思考) 延迟 2.9 s

GPT-5.5 通过 · 8/8 cases

```python def longest_run(xs): if not xs: return 0 best = 1 cur = 1 for i in range(1, len(xs)): if xs[i] == xs[i - 1]: cur += 1 else: cur = 1 best = max(best, cur) return best ``` The bug was that `cur` and `best` were counting the number of equal *adjacent comparisons*, not the number of items in the run. A run of one item has length `1`, but the original code initialized both values to `0`, so single-element inputs returned `0`. Similarly, a run like `[2, 2, 2]` has length `3`, but only two adjacent equal comparisons, so the result was off by one. Also, `best` should be updated after every element is processed, not only inside the equality branch, so runs that continue through the final index are properly considered.

输出 401 tok (+182 思考) 延迟 5.9 s

GPT-5.5 通过 · 5/5 fields, guidance "withheld pending the Q4 close"

{"company":"Meridian Robotics","quarter":"September quarter","revenue_usd_m":412,"growth_pct":11,"guidance":"withheld pending the Q4 close"}

输出 557 tok (+512 思考) 延迟 6.7 s

GPT-5.5 通过 · 120 words, 0 banned, 1 question

Today we’re introducing Prompt Cache Routing, a new API gateway feature that stores reusable prompt prefixes and applies them across leading model providers. Teams can reduce latency, lower token spend, and keep application logic portable without rewriting requests for each vendor. Have you ever paid twice to send the same system instructions? With shared cache keys, provider-aware metadata, and automatic fallback handling, the gateway detects eligible prompt segments, reuses cached context, and records savings in your existing observability dashboards. Policies let admins set retention windows, data boundaries, and provider allowlists by workspace or environment. Prompt Cache Routing is available now in beta for Pro and Enterprise customers, with SDK support, Terraform resources, and clear migration guides included at launch worldwide.

输出 859 tok (+700 思考) 延迟 8.7 s