Models

Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

Official DeepSeek V4 Flash release with enhanced agentic capabilities and integrated DSpark speculative decoding

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

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

Multimodal Kimi workhorse for agent loops, coding tasks, and visual context

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

Stronger MiMo Pro tier for multimodal reasoning and coding-agent execution

Open MoE flagship with million-token context for coding and long agent runs

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

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

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

Open MiMo model for multimodal coding agents and long-context automation

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

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

Multimodal MoE reasoning model (975B total, 41B active) for text, image, and audio

Fast DeepSeek V4 lane for economical reasoning, coding, and long-context work

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

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

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.

Earlier Kimi frontier model for long-context agents, coding, and multimodal work

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

Hybrid-reasoning DeepSeek model with thinking and non-thinking modes, sparse attention, and tool-use

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

Newer StepFun flash model for faster agents, coding, and multimodal prompts

Open Gemma instruction model for efficient chat and self-hosted deployments

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

Open GPT reasoning model for self-hosted agents and controllable deployments

Cohere command model for multilingual enterprise agents, tools, and chat

Fast NVIDIA Nemotron MoE for reliable agentic tasks across enterprise workloads

Reasoning-optimized 398B MoE agent model with extended thinking for long-horizon and multi-turn tool use

Classic open reasoning model for transparent math, coding, and deliberate problem solving

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

DeepSeek chat model for instruction following, coding, and analysis

Thinking Kimi model for slower research passes, planning, and hard technical questions

Open GPT reasoning model for self-hosted agents and controllable deployments

Small Nemotron 3 MoE for efficient coding, math, and long-context agents

Largest open Gemma 3 instruction model for multilingual text generation and visual understanding

Granite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...

Open multimodal Gemma instruction model for multilingual text generation and image understanding

Open multimodal Gemma instruction model for efficient text generation and image understanding