Models

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

Efficient model for low-latency assistance, extraction, and routine automation

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

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

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

DeepSeek V4.1 Flash model for reasoning and agentic coding

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

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

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

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

Dense 27B vision-language model for coding, agent tasks, and image and video understanding

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

2.4-trillion-parameter MoE flagship for coding, professional work, multimodal understanding, and long-horizon agentic workflows

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

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

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

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

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

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

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

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

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

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

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

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

Open multimodal Qwen MoE for local agents that need vision, audio, and code

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

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

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

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

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

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

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

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

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

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

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

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

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

Efficient open MiniMax model built for coding agents and tool-heavy workflows

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

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

September 2025 Kimi K2 instruction update with a 256K context and improved agentic coding

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

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