step-3.5-flash-2603
基于 Step 3.5 Flash 针对高频 Agent 场景优化,在保留旗舰推理与工具调用能力的同时,进一步提升 Token 效率与推理速度,并支持切换低推理模式以降低消耗。对 Coding 与 Agent 框架兼容性也做了专项优化。
输入价格
公开资料未说明
输出价格
公开资料未说明
官方模型目录与价格对比
按模型类型、上下文、价格和厂商整理官方模型目录,方便你快速筛出适合写代码、做推理、跑视觉或搭 Agent 的那一批模型。
先缩小候选,再进详情页看接口、计费和能力边界。
已收录模型
1,303
覆盖厂商
63
带价格信息
355
基于 Step 3.5 Flash 针对高频 Agent 场景优化,在保留旗舰推理与工具调用能力的同时,进一步提升 Token 效率与推理速度,并支持切换低推理模式以降低消耗。对 Coding 与 Agent 框架兼容性也做了专项优化。
输入价格
公开资料未说明
输出价格
公开资料未说明
旗舰级推理模型,专为智能体构建而生。推理深度比肩顶尖闭源模型,同时具备极速响应与稳定可靠的工具调用能力。在通用推理能力基础之上,更擅长复杂项目规划与长程任务执行。
输入价格
¥0.70 / 1M Tokens
输出价格
¥2.10 / 1M Tokens
Command A is a performant mode good at tool use, RAG, agents, and multilingual use cases. It has 111 billion parameters and a 256k context length.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R7B is the smallest, fastest, and final model in our R family of enterprise-focused large language models. It excels at RAG, tool use, and agents.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command A Reasoning excels in tool use, agentic workflows, and complex problem-solving. It has 111 billion parameters and a 256k context length.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R is a conversational model that excels in language tasks and supports multiple languages, making it ideal for coding use cases.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R+ is Cohere's optimized for conversational interaction and long-context tasks, best suited for complex RAG workflows and multi-step tool use.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R+ is an instruction-following conversational model that performs language tasks at a higher quality, more reliably, and with a longer context than previous models. It is best suited for complex RAG workflows and multi-step tool use.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R+ is Cohere's optimized for conversational interaction and long-context tasks, best suited for complex RAG workflows and multi-step tool use.
输入价格
公开资料未说明
输出价格
公开资料未说明
Command R is a conversational model that excels in language tasks and supports multiple languages, making it ideal for coding use cases.
输入价格
公开资料未说明
输出价格
公开资料未说明
A smaller, faster version of command . Almost as capable, but a lot faster.
输入价格
公开资料未说明
输出价格
公开资料未说明
An instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.
输入价格
公开资料未说明
输出价格
公开资料未说明
A model that allows for text and images to be classified or turned into embeddings
输入价格
公开资料未说明
输出价格
公开资料未说明
A model that allows for text to be classified or turned into embeddings. English only.
输入价格
公开资料未说明
输出价格
公开资料未说明
A smaller, faster version of embed-english-v3.0 . Almost as capable, but a lot faster. English only.
输入价格
公开资料未说明
输出价格
公开资料未说明
Provides multilingual classification and embedding support. See supported languages here.
输入价格
公开资料未说明
输出价格
公开资料未说明
A smaller, faster version of embed-multilingual-v3.0 . Almost as capable, but a lot faster. Supports multiple languages.
输入价格
公开资料未说明
输出价格
公开资料未说明
A multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This is better suited for state-of-the-art quality and complex use-cases than its fast variant.
输入价格
公开资料未说明
输出价格
公开资料未说明
A light version of rerank-v4.0-pro , this is a multilingual model that allows for re-ranking English and non-english documents and semi-structured data (JSON). This model is better suited for low latency and high throughput use-cases than its pro variant.
输入价格
公开资料未说明
输出价格
公开资料未说明