Models

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

DeepSeek V4.1 Flash model for reasoning and agentic coding

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

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

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

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

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

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

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

Nemotron middle tier for collaborative agents and high-volume reasoning workloads

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

Earlier MiniMax agent model for practical coding and productivity tasks

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

Mistral's coding-agent model for repository work, terminal tasks, and software fixes

Mistral's largest general model for enterprise agents, coding, and multilingual reasoning

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

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

Reasoning model for deliberate analysis, multi-step problem solving, and tool use

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

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

Smaller Qwen coder for efficient local agents and repo-level fixes

Dense open Qwen model for self-hosted chat, reasoning, and coding

Open multimodal Llama for strong reasoning with efficient everyday serving

Largest open Gemma 3 instruction model for multilingual text generation and visual understanding

Popular open Llama workhorse for multilingual chat, coding, and self-hosting