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.

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.

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

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

DeepSeek V4 Pro snapshot with million-token context and support for thinking and non-thinking modes

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.

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

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

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

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

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

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

Open flagship GLM for long-horizon coding agents and million-token context work

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

Largest Nemotron 3 model for maximum open-weight reasoning and agent accuracy

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

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

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

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

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

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

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.

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

Agent-ready GPT for coding and computer-use workflows at a lower cost

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

Reasoning-first Gemini preview for agentic coding and complex problem solving

Claude workhorse for coding agents, careful analysis, and production cost control

High-end Claude for difficult coding, planning, and slower expert reasoning

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

DeepSeek chat model for instruction following, coding, and analysis

Lean Gemini 2.5 lane for cheap multimodal traffic and quick agents

Google's proven reasoning model for coding, math, and multimodal analysis

Fast Gemini workhorse for multimodal apps where latency and price matter

Affordable GPT-4.1 lane for fast coding help and structured extraction

Tiny GPT-4.1 option for classification, routing, and very high-volume tasks

Long-lived GPT workhorse for coding, instruction following, and production apps