Models

Mixture-of-experts coding-reasoning model for agentic software tasks, tool use, and image understanding

Flagship GLM model for long-horizon coding, agents, and complex project delivery

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

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

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

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Microsoft coding model with native vision support, optimized for fast and efficient software development

Muse Glimmer is a 30-billion-parameter open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark for always-on local agents, tool use, coding, and image understanding.

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

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

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

Preview Qwen flagship for million-token multimodal reasoning and long-horizon agentic workflows

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

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

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

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

Fastest, most cost-efficient Gemini image model for high-volume 1K generation and editing

Faster ByteDance Seed 2.1 model for multimodal reasoning and latency-sensitive agent workflows

ByteDance Seed model optimized for character-driven dialogue and consistent conversational behavior

Rolling ByteDance Seed model for rapidly updated reasoning, coding, and agent capabilities

Flagship ByteDance Seed 2.1 model for complex multimodal reasoning, coding, and agents

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

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

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

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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

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

Restricted Claude model for advanced cybersecurity and biology research workflows

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

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

Open agentic MoE model (397B total, 17B active) for coding, tool use, and research workflows

Microsoft coding model built for fast, efficient assistance in everyday developer 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