AI Foundation Models & LLM Specifications

Speech transcription model for accurate audio-to-text and captioning workflows

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

Open-weight 35B MoE model for long-horizon research, forecasting, and tool-assisted work

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

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

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

Specialized search model for knowledge-intensive questions, multi-step retrieval, and evidence synthesis

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.

Cybersecurity model for authorized vulnerability research and security testing

Motif 3 is a large-scale, decoder-only Mixture-of-Experts (MoE) language model with 314 billion total parameters and 13.2 billion parameters activated per token.

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

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

MiniMax general-purpose video model with multimodal references and synchronized stereo audio. Open H3-Base checkpoints; Context-IR and 2K regeneration are not included in the initial weights release.

ByteDance multimodal audio-video model with up to 30-second single-pass generation, multi-round extension, reference inputs and timestamp-level editing.

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

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

Hybrid-linear MoE reasoning model with 124B total and 5.1B active parameters for efficient agents

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

Agentic coding model from Poolside in the XS size class for local deployment

GLM-5.2-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

Qwen3.6-based Mixture-of-LoRA model with specialists for chat, personal agents, coding, and generative UI

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