Models

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.

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.

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

Fast Gemini model balancing multimodal reasoning, tool use, and cost

Sparse mixture-of-experts reasoning model with 23B active parameters for coding and agentic workflows

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

Reasoning-first Gemini preview for agentic coding and complex problem solving

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

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

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

Default frontier GPT for coding, computer use, research, and knowledge work

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

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

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

Strong small GPT for coding subagents, quick tool use, and high-volume work

Cheapest GPT-5.4 lane for simple routing, extraction, and bulk automation