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。
Advanced search with enhanced search results You can use Pro Search to get enhanced search results with reasoning. An advanced search model designed for complex queries, delivering deeper content understanding with enhanced search result accuracy and 2x more search results than standard Sonar.
输入价格
公开资料未说明
输出价格
公开资料未说明
Fast answers with reliable search results A lightweight, cost-effective search model optimized for quick, grounded answers with real-time web search.
输入价格
公开资料未说明
输出价格
公开资料未说明
Advanced reasoning with enhanced multi-step analysis A high-performance reasoning model leveraging advanced multi-step Chain-of-Thought (CoT) reasoning and enhanced information retrieval for complex problem-solving.
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
输入价格
公开资料未说明
输出价格
公开资料未说明
350M parameter ColBERT model for multi-language document retrieval and reranking
输入价格
公开资料未说明
输出价格
公开资料未说明
Pricing Integration List chevron-right Language Models chevron-right Trinity-Nano (6B) Trinity-Mini (26B) Trinity-Large-Preview Trinity-Large-Thinking API Reference chevron-right Your First API Call Chat Completion Usage Models Capabilities chevron-right Streaming Messages Multi-Turn Conversations Function Calling Structured Outputs Reasoning Traces Quick Deploys chevron-right Download Models arrow-up-right Hardware Prerequisites Consumer Hardware chevron-right Inference Engines chevron-right Policies chevron-right Deprecation Policy chevron-up chevron-down gitbook Powered by GitBook gitbook xmark block-quote On this page xmark xmark copy Copy chevron-down block-quote On this page block-quote Language Models Trinity-Large-Thinking Overview Trinity-Large-Thinking is a reasoning-optimized variant of Arcee AI's Trinity-Large family — a 398B-parameter sparse Mixture-of-Experts (MoE) model with approximately 13B active parameters per token. Built on Trinity-Large-Base and post-trained with extended chain-of-thought reasoning and agentic RL, Trinity-Large-Thinking delivers state-of-the-art performance on agentic benchmarks while maintaining strong general capabilities. Trinity-Large-Thinking generates explicit reasoning traces wrapped in <think>...</think> blocks before producing its final response. This thinking process is critical to the model's performance — thinking tokens must be kept in context for multi-turn conversations and agentic loops to function correctly.
输入价格
公开资料未说明
输出价格
公开资料未说明
