Models

Native multimodal GLM model for efficient coding and long-horizon agent tasks

Flagship GLM model for long-horizon coding, agents, and complex project delivery

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

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

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

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

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

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

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

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

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

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

General GLM flagship for coding, analysis, and tool-heavy engineering workflows

Prior MiniMax coding model for agent workflows, office edits, and automation

Lightly post-trained 398B MoE chat model for creative work, long-context prompts, and tool-using agents

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

Earlier MiniMax agent model for practical coding and productivity tasks

Mature GLM model for dependable coding, reasoning, and structured agent tasks

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

Late GLM-4 workhorse for coding agents, reasoning, and structured tasks