Models

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.

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

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.

Claude model for demanding reasoning and long-horizon agentic work

Native multimodal GLM model for efficient coding and long-horizon agent tasks

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

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

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

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

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

Multimodal MoE reasoning model (276B total, 12B active) for text, image, and audio

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

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

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

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

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

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

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

Coding-focused Kimi model, stronger on long-horizon repo work with less overthinking

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

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

MiniMax multimodal model for long-context coding, perception, and agent planning

Newer StepFun flash model for faster agents, coding, and multimodal prompts

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

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

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

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

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

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

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

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

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

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

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

Fast Grok coding model tuned for agentic engineering and iterative edits

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.

Largest Gemma 4 instruction model for open, self-hosted chat and reasoning

Open Gemma instruction model for efficient chat and self-hosted deployments

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