Models

Multimodal Kimi model with 1M context and always-on reasoning for coding, 3D creation, financial research, and agentic work

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

Inception's diffusion reasoning model for chat, multi-step problem solving, and tool use

Muse Spark Open is an 816B total / 42B active open-weight multimodal reasoning model from Meta for coding and long-horizon agentic work, with 1M-token context.

Google's flagship reasoning model for complex software engineering, deep math and science, and long-horizon autonomous agents

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

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

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

Near-Astra performance for complex coding, computer use, and professional work at a lower cost.

Efficient model for low-latency assistance, extraction, and routine automation

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

Upstage's compact, cost-efficient model for agentic use

Specialized model from Fireworks built on Kimi K3, producing shorter reasoning traces with approximately 40% fewer tokens while maintaining comparable quality

MiMo pro model for strong multimodal reasoning and agent execution

xAI's frontier model for long-running agents, coding, knowledge work, and visual projects

Blended multimodal model that runs multiple language models in parallel and returns a synthesized answer

Qwen omni model for text, vision, audio, and multimodal agent tasks

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

System One model for fast, typed probabilistic decisions over text or structured state

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

Native multimodal hybrid MoE model for image and video understanding, reasoning, and visual agents

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

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.

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

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

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

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

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

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

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