MiniMax
Major Foundation Lab14 Canonical ModelsMiniMax foundation models, inference API endpoints, and pricing.
Models by MiniMax
Specifications, context windows, and pricing for MiniMax models
MiniMax multimodal model for long-context coding, perception, and agent planning
MiniMax model for chat, coding, office work, and agentic tasks
Open hybrid-attention MoE reasoning model with a million-token context and an 80K thinking budget
Frontier multimodal coding model with 1M context window and tunable thinking depth
Frontier multimodal coding model with 1M context window and tunable thinking depth
Low-latency M2.7 variant for interactive coding plans and agent loops
Earlier MiniMax agent model for practical coding and productivity tasks
Prior MiniMax coding model for agent workflows, office edits, and automation
High-speed MiniMax model for low-latency coding and agent workflows
Efficient open MiniMax model built for coding agents and tool-heavy workflows
Open MiniMax flagship for coding agents, office automation, and complex environments
MiniMax text-to-image generation model with reference-image support
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.
MiniMax M2 variant tuned for conversational and character-driven agent interactions