Models

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

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

Mistral's 1T-parameter multimodal MoE for reasoning, coding, and agentic work

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

MiMo Flash model for multimodal coding agents and long-context automation

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

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

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

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.

Claude model for demanding reasoning and long-horizon agentic work

A next-generation productivity model with significantly enhanced Agent and complex task execution capabilities.

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

Experimental multimodal DeepSeek V4 Flash model for image understanding, coding, and agentic work

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

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

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

Tencent Hy reasoning model for coding, instruction following, and agent tasks

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

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

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

Open MoE flagship with million-token context for coding and long agent runs

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

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

Default frontier GPT for coding, computer use, research, and knowledge work

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

Open MiMo model for multimodal coding agents and long-context automation

Flagship Qwen model for complex reasoning, coding, and agentic workflows

Open multimodal Qwen MoE for local agents that need vision, audio, and code

Stronger Opus tier for advanced software work and high-stakes reasoning

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation

Strong small GPT for coding subagents, quick tool use, and high-volume work

Fast Mistral production model for chat, extraction, and cost-sensitive agents

More exact GPT-5.4 tier for demanding professional reasoning and agent tasks