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Explore AI models 13

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net-gpt-3.5-turbo

langchain

Net-GPT 3.5 Turbo，使用 LangChain 实现的联网功能模型，适用于需要实时获取外部信息的对话场景，但联网过程中不具备上下文传递功能。

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net-gpt-3.5-turbo-0613

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-3.5-turbo-16k

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-3.5-turbo-16k-0613

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4

langchain

Net-GPT 4，通过 LangChain 实现联网支持，适用于 GPT-4 系列的联网访问需求，支持实时信息获取。调用时需在 GPT-4 系列模型前加上 'net-' 前缀（例如：net-gpt-4-0125-preview），不支持上下文传递。

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net-gpt-4-0125-preview

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-0314

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-0613

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-1106-preview

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-32k

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-turbo

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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net-gpt-4-turbo-preview

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

Input Not verified→ Output Not verified

Price not verifiedCheck multimodal and channel pricing separately

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net-gpt-4o

langchain

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Category pending

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Cost analysis

Adjust monthly token usage to compare estimated API costs.

Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
Compares base text-token rates within the same channel

Uses collected, comparable USD-per-million-token rates. Snapshots exclude cache discounts, tiers, extra reasoning output and taxes. Check current source prices.

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Selection guide & FAQ

How should API prices be compared?+

Separate input, output and cache rates, then estimate the same workload. Image, audio and video rates may use items, duration or resolution rather than tokens.

Do open weights mean free commercial use?+

Not necessarily. Check each version’s license, commercial restrictions and policies. Self-hosting also incurs compute and maintenance costs.

Is the top-ranked model the best for me?+

Rankings depend on tasks, versions and methods. Compare accuracy, latency, reliability and costs on your own workload.