EmpirioLabs AI

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

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

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

Efficient GLM model for fast reasoning, coding, and agent workflows

Budget GLM lane for fast coding help, routing, and everyday automation

Strong GLM coding model for agentic engineering, terminals, and repository generation

Open flagship GLM for long-horizon coding agents and million-token context 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

Lower-latency Kimi Code variant for interactive edits and coding-agent loops

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

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

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

Open MiniMax flagship for coding agents, office automation, and complex environments

Low-latency M2.7 variant for interactive coding plans and agent loops

MiniMax multimodal model for long-context coding, perception, and agent planning

Mistral model for multilingual chat, reasoning, and tool-assisted workflows

Fast Mistral production model for chat, extraction, and cost-sensitive agents

Muse Spark is a natively multimodal reasoning model with support for tool-use, visual chain of thought, and multi-agent orchestration.

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

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

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

Large open Qwen multimodal MoE for visual agents and long technical tasks

Qwen3.5 4B is a low-cost multimodal reasoning model with 256K context, image and video input, function tools, and structured output.

Qwen instruction model for multilingual chat, reasoning, and tool use

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

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

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

Flagship Qwen model for complex reasoning, coding, and agentic workflows

Earlier Qwen multimodal workhorse for million-token agent and document tasks

Qwen frontier model tuned for agent frameworks, coding assistants, and long tasks

Multimodal Qwen workhorse for long-context agents, visual inputs, and coding

Flagship Qwen3 model for coding agents, complex reasoning, and tool use

StepFun flash lane for quick multimodal reasoning and coding assistance

StepFun flash model for efficient multimodal reasoning, coding, and tool use

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