Models

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

Frontier multimodal coding model with 1M context window and tunable thinking depth

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

NVIDIA vision-language reasoning model for text, image, and video understanding and agentic 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.

NVIDIA Nemotron 3.5 Super reasoning model (120B total, 12B active) served with text-only input

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

Muse Wonder Full is the most capable model in Meta's Muse Wonder series, built for long-running professional agents and ultra-long-horizon software engineering. It shares Muse Wonder's Active Memory and Active Focus capabilities and generally scores higher on Meta's agentic and coding evaluations.

Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.

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.

Fast Claude model for everyday coding, agents, and knowledge work

Frontier multimodal coding model with 1M context window and tunable thinking depth

Meituan's multimodal reasoning model for coding and agent tasks, with image understanding and a 1M-token context window

High-throughput edition of Qwen3.8 Max for coding, professional work, multimodal understanding, and long-running agent workflows

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

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

Fast coding model

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

High-fidelity SVG generation model for complex vector work and long-context refinement

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

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

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

Kimi coding model with more efficient thinking and up to 1M context, available through Kimi Code

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.

Fast variant of GPT-6 Astra for low-latency assistance and high-volume workloads.

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

Restricted Claude model for advanced cybersecurity and biology research workflows

A next-generation productivity model with significantly enhanced Agent and complex task execution capabilities.

Video generation and editing model for scene extension, frame interpolation, and reference-guided multimodal control

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

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

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

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

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

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.