Anthropic · Chat
claude-opus-4-5-20251101
- Input
- $0.0450
- Output
- $0.2250
- Context
- 195K
Anthropic · Chat
claude-opus-4-5-20251101
Anthropic · Chat
Most intelligent model for building agents and coding
Anthropic · Chat
claude-sonnet-4-5-20250929
Anthropic · Chat
Our smartest model. Best for complex agents, coding, and most advanced tasks
Google · Chat
gemini-2.5-pro
Google · Chat
gemini-3-flash-preview
Google · Chat
gemini-3-pro-preview
Google · Chat
gemini-3.1-flash-lite-preview
Google · Chat
gemini-3.1-pro-preview
MiniMax · Chat
MiniMax M2.1 is a cutting-edge AI model designed to revolutionize how developers build software. With enhanced multi-language programming support, it excels in generating high-quality code across popular languages like Rust, Java, Golang, C++, Kotlin, Objective-C, TypeScript, and JavaScript. Key improvements include: 22% faster response times and 30% lower token consumption for efficient workflows. Seamless integration with leading development frameworks (Claude Code, Droid Factory AI, BlackBox, etc.). Full-stack development capabilities, from mobile (Android/iOS) to web and 3D interactive prototyping. Optimized performance-to-cost ratio, making AI-assisted development more accessible. Whether you're a software engineer, app developer, or tech innovator, M2.1 empowers smarter coding with industry-leading AI.
OpenAI · Chat
gpt-5.1
OpenAI · Chat
gpt-5.1-codex
OpenAI · Chat
gpt-5.2
OpenAI · Chat
gpt-5.2-codex
OpenAI · Chat
gpt-5.3-chat-latest
OpenAI · Chat
gpt-5.3-codex
OpenAI · Chat
gpt-5.4
OpenAI · Chat
gpt-5.4-pro
Qwen · Chat
Qwen3-Coder-Next is an open-weight language model specifically engineered for coding agents and local development environments. This highly efficient model delivers exceptional performance with only 3B activated parameters out of 80B total parameters, achieving results comparable to models with 10-20x more active parameters while maintaining remarkable cost-effectiveness for agent deployment. Through its sophisticated training methodology, Qwen3-Coder-Next excels in advanced agentic capabilities including long-horizon reasoning, complex tool usage, and robust recovery from execution failures, ensuring reliable performance across dynamic coding tasks. The model's versatility is further enhanced by its 256k context length and adaptability to various scaffold templates, enabling seamless integration with diverse CLI/IDE platforms such as Claude Code, Qwen Code, Qoder, Kilo, Trae, and Cline, making it an ideal solution for comprehensive development environments.
Zai-org · Chat
GLM-5 is an open-source foundation model engineered for complex system engineering and long-horizon Agent tasks, delivering reliable productivity for top-tier programmers. Transcending the boundary from "writing code" to "building systems," it moves beyond traditional snippet generation to offer senior-architect-level planning and execution capabilities. By rejecting the "frontend-heavy, logic-light" approach, GLM-5 demonstrates exceptional reasoning and self-healing abilities in backend refactoring, complex algorithm implementation, and deep debugging—autonomously analyzing logs and iteratively fixing persistent bugs until the system runs. As the first open-source model featuring Opus-class style and system engineering depth, GLM-5 provides extreme logic density alongside the freedom of local deployment and high cost-effectiveness, making it the ideal choice for large-scale backend development and automated Agent construction.
Zai-org · Chat
GLM-OCR is a lightweight professional OCR model with only 0.9B parameters, achieving SOTA performance with a score of 94.62 on OmniDocBench V1.5. Optimized for real-world business scenarios, it delivers high-precision recognition for handwritten text, stamps, and code documentation. The model supports directly rendering complex tables into HTML code and extracting structured data from IDs and receipts into standard JSON format, enabling high-accuracy document parsing with minimal resource consumption.
Google · Images
Google Gemini 系列强调多模态理解与指令遵循,兼顾速度与成本,适合生产级调用。Gemini 2.5 Flash 侧重低延迟与性价比,在实时场景更友好。文生图可根据提示词生成高质量图片,适合海报、素材、插画与产品概念图。即时推理 API,性能稳定,无需等待,价格亲民
Google · Images
Gemini 3.1 Flash Image 主打低延迟与高一致性生成,适合批量出图与交互式创作;对复杂指令的遵循度强,能稳定处理多主体、细节材质与光影关系,并在常见商业风格(电商、海报、插画、写实)间快速切换;同时擅长把“要求清单”落到画面结构与元素布局上,成片率高。支持极速推理 API,性能稳定,无需等待,性价比超高。
Google · Images
Gemini 3.1 Flash Image 主打低延迟与高一致性生成,适合批量出图与交互式创作;对复杂指令的遵循度强,能稳定处理多主体、细节材质与光影关系,并在常见商业风格(电商、海报、插画、写实)间快速切换;同时擅长把“要求清单”落到画面结构与元素布局上,成片率高。支持极速推理 API,性能稳定,无需等待,性价比超高。
Google · Images
Google Gemini 系列强调多模态理解与指令遵循,兼顾速度与成本,适合生产级调用。该系列面向生产级调用,强调稳定性与可控输出。文生图可根据提示词生成高质量图片,适合海报、素材、插画与产品概念图。即时推理 API,性能稳定,无需等待,价格亲民
Google · Images
Google Gemini 系列强调多模态理解与指令遵循,兼顾速度与成本,适合生产级调用。该系列面向生产级调用,强调稳定性与可控输出。文生图可根据提示词生成高质量图片,适合海报、素材、插画与产品概念图。即时推理 API,性能稳定,无需等待,价格亲民
Google · Images
Google Gemini 系列强调多模态理解与指令遵循,兼顾速度与成本,适合生产级调用。该系列面向生产级调用,强调稳定性与可控输出。文生图可根据提示词生成高质量图片,适合海报、素材、插画与产品概念图。即时推理 API,性能稳定,无需等待,价格亲民
Google · Images
Google Gemini 系列强调多模态理解与指令遵循,兼顾速度与成本,适合生产级调用。Gemini 2.5 Flash 侧重低延迟与性价比,在实时场景更友好。文生图可根据提示词生成高质量图片,适合海报、素材、插画与产品概念图。即时推理 API,性能稳定,无需等待,价格亲民