Models

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

Upstage's flagship model, specialized for agentic use

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

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

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

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

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

Original GPT-5 workhorse for reasoning, coding, writing, and tool workflows

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

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

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

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

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

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

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

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

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

Sharper GPT-5 generation for coding, product work, and tool-assisted tasks

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

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

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

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

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

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

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

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

Small GPT-5 for responsive agents, coding help, and everyday automation

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

Open GPT reasoning model for self-hosted agents and controllable deployments

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

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

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

Thinking Kimi model for slower research passes, planning, and hard technical questions

Open GPT reasoning model for self-hosted agents and controllable deployments

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use