AI Foundation Models & LLM Specifications

Claude model for long-running agentic coding and knowledge work

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

MiMo pro model for strong multimodal reasoning and agent execution

Fast coding model

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

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

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

Speech-to-text model with word-level timestamps, speaker diarization, multichannel audio, and streaming

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

Fast SVG generation model for creation, vectorization, editing, and animation

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

Unified text-to-image generation and image editing model with native RGBA transparency and reference-image editing

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

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

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

Open-weight translation model for more than 50 languages and locale variants

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

Image model for prompt-driven generation, editing, and visual design workflows

Image model for prompt-driven generation, editing, and visual design workflows

Dense 2B-class open-source model for on-device and resource-constrained use, with native long-context support, tool calling, and agentic tasks

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.

Health and medicine specialization of Ling 3.0 Flash for medical reasoning and evidence-based retrieval

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.

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

Finance-enhanced model for financial research, multi-step investment workflows, and long-horizon planning and execution

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

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

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