Guide

Large open Qwen multimodal MoE for visual agents and long technical tasks

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

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

High-end Claude for difficult coding, planning, and slower expert reasoning

Efficient GLM model for fast reasoning, coding, and agent workflows

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

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

Qwen coding model for software agents, repository edits, and code reasoning

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

Multimodal model for analyzing text, images, documents, and rich media

Efficient Mistral model for fast chat, extraction, and production assistants

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

New Gemini flash lane bringing frontier-style multimodal reasoning to cheaper runs

Reliable GPT generation for broad coding, writing, and tool-assisted product work

GLM 4.6V from Venice AI - text, image input, 131,072 token context

Kimi K2 Thinking from Venice AI - text input, 256,000 token context

Claude Opus 4.5 from Venice AI - text, image, pdf input, 198,000 token context

Flagship Claude model for deep reasoning, coding, and long-horizon agents

DeepSeek chat model for instruction following, coding, and analysis

Gemini 3 Pro Preview from Venice AI - text, image, audio, video input, 198,000 token context

Grok 4.1 Fast from Venice AI - text, image input, 1,000,000 token context

Grok Code Fast 1 from Venice AI - text input, 256,000 token context

MiniMax M2.1 from Venice AI - text input, 198,000 token context

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

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

Open Llama instruction model for multilingual chat, reasoning, and coding

Qwen instruction model for multilingual chat, reasoning, and tool use

Venice Small from Venice AI - text input, 32,000 token context

Qwen reasoning model for deliberate problem solving, math, and coding

Qwen instruction model for multilingual chat, reasoning, and tool use

Qwen 3 Coder 480b from Venice AI - text input, 256,000 token context

Open Llama instruction model for multilingual chat, reasoning, and coding

Venice Medium from Venice AI - text, image input, 128,000 token context

Venice Uncensored 1.1 from Venice AI - text input, 32,000 token context

Code-specialist GPT for repository edits, reviews, and long-running software agents

Claude Sonnet 4.5 from Venice AI - text, image input, 198,000 token context

Balanced Claude model for coding, analysis, agent workflows, and cost control

Open Llama instruction model for multilingual chat, reasoning, and coding

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