[KongchangAI]
Model

GPT-4o

OpenAI's flagship multimodal large language model, with an input price of approximately $2.50 per million tokens.

Core Facts

Timeline (last 90 days)

Oct 19

If closed-source vision APIs such as GPT-4o or Claude 3.5 Sonnet were called, at $0.03 to $0.05 per receipt, a restaurant with about 100 receipts per day, or 3,000 per month, would face an API bill of $90 to $150 per month.

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Oct 18

The GPT-4o API shutdown date is set for January 14.

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Oct 18

The shutdown dates of GPT-4o and whisper-1 earlier this year are only six weeks apart.

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Oct 18

taotok.io is a unified LLM API gateway that provides a single API Key and an OpenAI-compatible endpoint, and by changing the model field you can call models such as GPT-4o, Claude, Gemini, DeepSeek, Qwen, and Kimi K2.

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Oct 17

OpenAI says that, compared with GPT-4o, its new model reduces "sycophantic replies"—that is, simply agreeing with the user rather than raising doubts—by more than two-thirds.

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Oct 17

During migration, you should keep GPT-4o as a fallback while it still exists, and first migrate a small portion of traffic to observe error rates and quality.

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Oct 16

In Quicknode's implementation, the team used the Tavily API to find tool websites, documentation and social links, then used GPT-4o to generate descriptions, pricing tiers and use cases.

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Oct 16

The experiments cover three models: GPT-4o, Qwen-VL Max, and LLaMA-3.2 11B Vision.

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Oct 16

The label-image accuracy gaps of GPT-4o, Qwen-VL Max, and LLaMA reach 9.5, 13.8, and 12.6 percentage points respectively.

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Oct 16

The routing layer can be divided into three tiers: the local/edge tier (such as Llama 3 8B, Mistral 7B, cost about $0.05–$0.15/1M tokens, latency <250ms), the mid-tier hosted tier (such as Claude 3.5 Haiku, GPT-4o-mini, cost about $0.25–$0.60/1M tokens, latency <800ms), and the frontier reasoning tier (such as Claude 3.5 Sonnet, o1, GPT-4o, cost about $3.00–$15.00/1M tokens, latency 2s–8s).

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40 more timeline events

All Facts (20)

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The GPT-4 series uses the cl100k_base vocabulary (approximately 100,000 tokens), while the GPT-4o series upgrades to o200k_base (approximately 200,000 tokens).

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GPT-5.5是OpenAI于2025年中期发布的模型,相比GPT-4o在推理深度和上下文理解方面有显著提升

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GPT-4o is developed by OpenAI and has an advantage in tool integration scenarios thanks to its Function Calling capability.

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The context window in the GPT-3 era was only 2,048 tokens, whereas Google Gemini already supports millions of tokens, Claude supports 200K tokens, and GPT-4 Turbo supports 128K tokens.

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GPT-4o, released in 2024, directly integrated image generation capabilities into a multimodal large language model.

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GPT-4V、Claude 3、Gemini是现代多模态大模型的代表,能够同时处理文本、图像等多种数据类型

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The multimodal architecture of GPT-4o combined with a visual encoder can align different types of information within a unified semantic space.

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VLMs (Vision Language Models) typically consist of a visual encoder (such as ViT), a language model, and a projection layer connecting the two, with representative models including GPT-4V/4o, Claude 3.5, the LLaVA series, and InternVL

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GPT-4o (where 'o' stands for 'omni') adopts a native multimodal architecture in which text, images, and audio are processed uniformly within the same model.

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大模型API中输出Token的单价通常是输入Token的2-4倍

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Models such as Claude 3.5 and GPT-4o have expanded their context windows to 100,000 or even 1,000,000 tokens.

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OpenAI推出GPT-4o mini作为对轻量级高性能模型市场需求的回应

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Multimodal models such as GPT-4o already support native processing of real-time audio.

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OpenAI's GPT-4o voice mode is a representative exploration of end-to-end voice fusion.

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Claude 3.5 Sonnet is a model released by Anthropic in 2024 that surpassed the contemporaneous GPT-4o on the code generation benchmark HumanEval

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The model lineup currently supported by Cursor includes the OpenAI GPT-4o series, Anthropic Claude 3.x series, Google Gemini series, and some open-source models.

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Frontier-grade is a term used in the AI industry to describe the capability tier of the current top large models, typically referring to models such as GPT-4, Claude 3, and Gemini Ultra.

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OpenAI's GPT series increments by integer version numbers (GPT-3, GPT-4) and uses letter suffixes to distinguish variants, such as "o" representing the optimized version (GPT-4o) and "mini" representing the lightweight version

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GPT-4o's response latency has been significantly reduced to approximately 320 milliseconds, approaching the natural reaction speed of human conversation.

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Representative works in vision-language models (VLMs) include OpenAI's GPT-4V, Google's Gemini, and the open-source community's LLaVA.

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