MODEL PROFILE

GPT-3.5 Turbo 16k

OpenAI · gpt-3.5-turbo-16k

纯官方高速GPT3.5 16K系列,支持function_call,适用于长对话场景。

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Text generationstructured_outputstools
Context window16,385 Token
Input → OutputText → Text
Model weightsNot verified
Profile updated2026/11/5 14:54:37
OVERVIEW

Model overview

纯官方高速GPT3.5 16K系列,支持function_call,适用于长对话场景。

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • 支持最长16,385个token的上下文长度,适合长对话与长文档处理
  • 原生支持function calling(工具调用),可集成外部API或结构化操作
  • 标称为官方GPT-3.5 Turbo变体,强调推理速度与稳定性

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · openai/gpt-3.5-turbo-16k ↗USD 3USD 4Per million tokens2026/11/2 06:25:30
Apilio · AZ-优质 ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · default ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · openai官-优质 ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · origin ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · ssvip ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · svip ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16
Apilio · vip ↗Not verifiedNot verified渠道倍率待核验2026/11/2 06:25:16

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

GPT-3.5 Turbo 16k 是否为 OpenAI 官方发布的模型?

资料中称其为‘纯官方高速GPT3.5 16K系列’,但未提供OpenAI官方发布页面或版本号佐证;第三方API平台(如Apilio、OpenRouter)将其列为可用模型。

该模型是否支持结构化输出(如JSON Schema)?

资料明确标注标签 'structured_outputs',结合 'function_call' 支持,表明具备结构化响应能力,但具体实现方式(如是否原生支持JSON mode)未说明。

它与标准 GPT-3.5 Turbo(4k)的主要区别是什么?

主要区别在于上下文长度:本模型支持16,385 token,显著高于标准版约4,096 token,更适合长文本交互场景。

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。