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Fast o-series model for compact reasoning, coding, and tool use
Fast o-series model for compact reasoning, coding, and tool use
Fast o-series model for compact reasoning, coding, and tool use
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The compact reasoning model in OpenAI's o-series — trimmed for speed and cost while keeping its multimodal and agentic skills. It does tool calls and reasons competently, which suits apps on a tight cost and latency budget that still need real reasoning.
The compact reasoning model in OpenAI's o-series — trimmed for speed and cost while keeping its multimodal and agentic skills. It does tool calls and reasons competently, which suits apps on a tight cost and latency budget that still need real reasoning.
The compact reasoning model in OpenAI's o-series — trimmed for speed and cost while keeping its multimodal and agentic skills. It does tool calls and reasons competently, which suits apps on a tight cost and latency budget that still need real reasoning.
The compact reasoning model in OpenAI's o-series — trimmed for speed and cost while keeping its multimodal and agentic skills. It does tool calls and reasons competently, which suits apps on a tight cost and latency budget that still need real reasoning.
o4-mini 是 OpenAI 于 2025 年 4 月 16 日发布的非开源 o 系列模型,支持文本与图像输入、文本输出,具备推理、编码与工具调用能力。该模型定位为快速紧凑的推理模型,适用于代码生成与分析、视觉理解、复杂问题拆解以及需要调用外部工具的智能体场景,支持最高 200000 上下文长度与 100000 最大输出。
o4-mini 是 OpenAI 于 2025 年 4 月 16 日发布的非开源 o 系列模型,支持文本与图像输入、文本输出,具备推理、编码与工具调用能力。该模型定位为快速紧凑的推理模型,适用于代码生成与分析、视觉理解、复杂问题拆解以及需要调用外部工具的智能体场景,支持最高 200000 上下文长度与 100000 最大输出。
o4-mini 是 OpenAI 于 2025 年 4 月 16 日发布的非开源 o 系列模型,支持文本与图像输入、文本输出,具备推理、编码与工具调用能力。该模型定位为快速紧凑的推理模型,适用于代码生成与分析、视觉理解、复杂问题拆解以及需要调用外部工具的智能体场景,支持最高 200000 上下文长度与 100000 最大输出。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。
原站公开的站内额度标价;充值折扣、规格附加费及最终扣费以原站为准。