GPT-4o
OpenAI's flagship multimodal large language model, with an input price of approximately $2.50 per million tokens.
Core Facts
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).
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
GPT-4o is developed by OpenAI and has an advantage in tool integration scenarios thanks to its Function Calling capability.
Timeline (last 90 days)
Measured against GPT-4o as the baseline, token costs for image-heavy content dropped by 85.9% after compression.
Token-Efficient Multi-Agent Collaboration (2026-10-06) separates cheap coordination decisions from expensive reasoning, handing them to a lightweight 'System 1' model, reducing GPT-4o token cost by 45% to 97% compared with AgentVerse/DyLAN/SelfOrg, with no loss of accuracy.
GPT-4o has received dedicated defenses from multiple commentators on writing tasks where speed and output volume matter more than stylistic precision.
Multimodal large language models (MLLMs) refer to large-scale models capable of simultaneously processing multiple modality inputs such as text, images, audio, and video and generating text output, with representative works including GPT-4o, Gemini, Qwen-VL, etc.
harness-sdk provides a portable control framework, offering neither models nor cloud, so developers can swap the underlying model (for example, from GPT-4o to Claude) or cloud service (for example, from AWS to GCP) without rewriting the Agent's core logic.
The original author provides a production version of a three-tier cascading router (Claude → GPT-4o → DeepSeek), including an n8n workflow and a pure Python version with cooldown state, output validation, BANT lead scoring, and Telegram alerts.
The benchmark uniformly uses GPT-4o (called via the OpenAI API), with evaluation metrics of task pass rate (manually verified), latency, and token cost.
Compared to cloud-based vision models such as GPT-4o or Claude, local VLMs typically have lower recognition accuracy, but their advantages lie in zero network round-trip latency, full offline availability, and user image data never leaving the local device.
GPT-4o and Qwen 2.5 Coder 32B tied for second place in DataBugBench, both scoring 4/5 with an accuracy of 80%.
DataBugBench testing covers five models: Claude 3.5 Sonnet, GPT-4o, Gemini 1.5 Pro, Qwen 2.5 Coder 32B, and Llama 3.3 70B.
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All Facts (20)
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).
90%VerifiedGPT-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
90%VerifiedGPT-4o is developed by OpenAI and has an advantage in tool integration scenarios thanks to its Function Calling capability.
90%VerifiedThe 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.
90%VerifiedGPT-4o, released in 2024, directly integrated image generation capabilities into a multimodal large language model.
90%VerifiedGPT-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
90%VerifiedThe multimodal architecture of GPT-4o combined with a visual encoder can align different types of information within a unified semantic space.
85%VerifiedVLMs (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
80%VerifiedGPT-4o (where 'o' stands for 'omni') adopts a native multimodal architecture in which text, images, and audio are processed uniformly within the same model.
80%Verified大模型API中输出Token的单价通常是输入Token的2-4倍
80%VerifiedModels such as Claude 3.5 and GPT-4o have expanded their context windows to 100,000 or even 1,000,000 tokens.
80%VerifiedOpenAI推出GPT-4o mini作为对轻量级高性能模型市场需求的回应
80%VerifiedMultimodal models such as GPT-4o already support native processing of real-time audio.
80%VerifiedOpenAI's GPT-4o voice mode is a representative exploration of end-to-end voice fusion.
80%VerifiedClaude 3.5 Sonnet is a model released by Anthropic in 2024 that surpassed the contemporaneous GPT-4o on the code generation benchmark HumanEval
80%VerifiedThe 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.
75%VerifiedFrontier-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.
75%VerifiedOpenAI'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
75%VerifiedGPT-4o's response latency has been significantly reduced to approximately 320 milliseconds, approaching the natural reaction speed of human conversation.
75%VerifiedRepresentative 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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