apiex选择模型后可复制配置给 AI，也可以快速测试当前连接延迟。
bytedance
Character roleplay model for virtual companion scenarios, with stable persona adherence and plot progression in multi-turn dialogue, supporting multimodal inputs.
bytedance
Lightweight tier in the Seed 2.0 family, tuned for high-throughput, low-latency tasks with adjustable reasoning levels. Fits batch processing, moderation, and classification.
A lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency, with faster token generation and higher throughput. Thinking is disabled by default but can be enabled via API.
Open-weights dense model with stronger math and coding, plus native function calling for self-hosted agent workflows.
OpenAI
Fastest GPT. Sub-second responses.
OpenAI
A lightweight model tuned for low-cost, low-latency text tasks like chatbots, summarization, and bulk classification.
qwen
Instruction-tuned non-thinking chat model that answers directly without exposing reasoning, suited to agent workflows needing deterministic output like coding assistance and tool calling.
qwen
Plus-tier vision-language model in the Qwen3-VL line, handling text, image and video inputs with strengths in document parsing, video understanding, spatial grounding and agent tool use.
qwen
Open-weight mid-tier MoE text model with long chain-of-thought reasoning, strong on function-calling and multi-step planning benchmarks for self-hosted agentic workflows.
qwen
Multimodal model from the Qwen3.5 line with toggleable thinking mode, tuned for image and video understanding, document parsing, and multimodal agents.
qwen
Qwen 3.6 lightweight tier with text, image, and video input. Low latency and low cost, well-suited for high-volume classification, extraction, summarization, and simple agent workflows.
qwen
Flash tier in Qwen3.8: multimodal reasoning for coding and agent workflows, with visual understanding across documents, codebases, and long video.
stepfun
StepFun’s most capable open-source foundation model, built on a sparse MoE architecture that activates only 11B of its 196B parameters per token. It delivers efficient reasoning and fast performance, even with long contexts.
tencent
A 295B MoE reasoning model from Tencent with 21B active parameters, configurable reasoning effort, and a 262K context window. It is designed for agentic workflows, long-horizon tasks, coding, document processing, and financial analysis, with an emphasis on reliable tool use and reduced hallucinations.
tencent
Hy3 preview in high-reasoning mode, built for complex problem solving and multi-step agent workflows that need dependable execution.
xiaomi
Mid-tier V2.5 model with native image, audio, and video understanding, built for agent workflows and coding at lower cost than Pro.
Z.ai
Ultra-fast for Chinese. Very cheap.
Z.ai
Flash tier of GLM-5.3: native multimodal inputs, suited for efficient coding and long-horizon agents with stable long-context behavior in production.