Models

Multimodal Kimi model with 1M context and always-on reasoning for coding, 3D creation, financial research, and agentic work

Inception's diffusion reasoning model for chat, multi-step problem solving, and tool use

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

Fast Claude model for responsive assistance, classification, and lightweight agents

Near-Astra performance for complex coding, computer use, and professional work at a lower cost.

Fast Claude model for everyday coding, agents, and knowledge work

High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows

OpenAI's most efficient model for focused, high-volume tasks

OpenAI model for complex coding and agentic workflows

Claude model for long-running agentic coding and knowledge work

Upstage's compact, cost-efficient model for agentic use

Specialized model from Fireworks built on Kimi K3, producing shorter reasoning traces with approximately 40% fewer tokens while maintaining comparable quality

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

Blended multimodal model that runs multiple language models in parallel and returns a synthesized answer

Qwen omni model for text, vision, audio, and multimodal agent tasks

Quality-first multi-agent model for hard research, analysis, and competitions

Multi-agent model for routing expert agents across complex analytical tasks

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

GPT-6 Astra is OpenAI's most capable model for complex reasoning, coding, computer use, research, and document creation.

Health and medicine specialization of Ling 3.0 Flash for medical reasoning and evidence-based retrieval

Google's most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.

2026-09-02 upgraded snapshot of Qwen3.8 Max with stronger coding, collaborative agents, and multimodal document understanding

Claude model for demanding reasoning and long-horizon agentic work

Qwen vision-language model for visual reasoning, documents, and agent tasks

High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

Upstage's flagship model, specialized for agentic use

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

Japanese-specialized reasoning model based on Kimi K2.6 and tuned for Japanese language, culture, and business workflows

Strongest Claude Opus model for coding, agents, and professional work

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Lightweight multimodal Qwen model for high-throughput text, image, and video tasks

Cost-efficient GPT-5.6 model for fast, high-volume workloads

Balanced GPT-5.6 model for capable, cost-efficient everyday work

Frontier GPT-5.6 model for complex professional work, coding, and agentic workflows

xAI's Grok model for chat, coding, agentic tools, and lower hallucination risk

Everyday Claude agent model for coding, planning, browsing, and general work

Quality-first multi-agent model for hard research, analysis, and competitions

Claude model for creative writing, analysis, and controlled agent workflows

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

Top Claude Opus tier for the hardest reasoning, coding, and long-horizon agents

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Low-latency Gemini model for high-volume multimodal and agent workloads

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Qwen vision-language model for visual reasoning, documents, and agent tasks

Highest-accuracy GPT-5.5 tier for slower, precision-heavy reasoning and coding