Respan (BYOK)BYOK

Claude Sonnet 5.5 is Anthropic's successor to Claude Sonnet 5 for well-scoped everyday work such as building features, fixing bugs, drafting and review. It has a 1M-token context window, 128K max output, vision input, tool use and adaptive thinking on by default.

Apodex 1.1 Mini is Apodex's reasoning-first model for long-horizon research and forecasting. It works directly with files, data, code, and tools to produce verifiable results. Text in, text out, with function calling.

BGE Base EN v1.5 is an open-weight English text embedding model that maps sentences and paragraphs to 768-dimensional vectors for retrieval and semantic search. It takes up to 512 tokens of input.

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash. It is an open-weight sparse mixture-of-experts model with native vision input, text output and a 1M-token context window.

Gemini 3.8 Flash is Google's multimodal model for fast agentic workflows, coding, and complex multi-step reasoning. It has a 1,048,576-token context window. It accepts text, image, video, file, and audio input.

Gemma 4 26B A4B is an open-weight model from Google's Gemma 4 family, built from Gemini 3 research to maximize intelligence per parameter. It takes text and image input and generates text. It supports reasoning, tool calling, and coding.

Gemma 4 31B is Google's open-weight dense open reasoning model for complex reasoning, agentic workflows, coding, and multimodal understanding. It takes text and image input and generates text. It supports tool calling and a thinking mode.

E5 Base v2 is intfloat's open-weight English text embedding model that maps sentences and paragraphs to 768-dimensional vectors. It suits semantic search and similarity tasks. It accepts input of up to 512 tokens.

MiniMax M3.1 Flash is MiniMax's open-weight multimodal model for complex agentic tasks, coding and cybersecurity. It accepts text, image and video input and has a 1M-token context window. It always thinks, with adjustable effort, and its weights are not yet released.

GPT-6 Astra is OpenAI's reasoning and chat model. It accepts text and image input and supports streaming and function calling.

GPT-6 Luna is OpenAI's efficient GPT-6 tier for focused, high-throughput tasks. It has configurable reasoning, tool use, image input. It supports streaming and function calling.

GPT-6.1 Sol is OpenAI's model for complex coding and agentic work, with performance close to GPT-6 Astra. It has configurable reasoning, tool use, and image input.

OpenRouter: Body Builder (beta) is a beta router that turns a natural-language request into a structured OpenRouter API request object. Describe what you want to do with AI models and it builds the matching call. It has a 128K context window.

OpenRouter: Fusion is a multi-model deliberation router. A panel of expert models analyzes the prompt in parallel with web search and web fetch, then a judge model synthesizes a structured analysis and writes the final answer. It suits research and expert critique.

OpenRouter: Pareto Code Router keeps a tiered shortlist of strong coding models ranked by Artificial Analysis coding percentiles. Set min_coding_score between 0 and 1 to trade quality against cost. It has a 2M-token context window.

pplx-embed v1 0.6B is Perplexity's lightweight text embedding model for web-scale dense retrieval. It is aimed at low-latency use and accepts 32K-token input.

pplx-embed v1 4B is Perplexity's larger text embedding model for web-scale dense retrieval. It returns 2560-dimension vectors and accepts 32K-token input.

Qwen3.7 Plus is Alibaba's advanced multimodal model with text and image input. It has a 1 million token context window and strong reasoning capabilities.

all-MiniLM-L6-v2 is an open-weight embedding model that maps sentences and short paragraphs to 384-dimensional vectors for retrieval, clustering and semantic similarity. 512-token input.

GTE Base is an open-weight English text embedding model that maps sentences and paragraphs to 768-dimensional vectors. It suits semantic search, similarity and clustering, with a 512-token input limit.

GLM-4.5-Flash is the lightweight tier of Z.ai's GLM-4.5 family, built for reasoning, coding, and agent tasks. It supports function calling and streaming, with text in and text out.

GLM-4.7 Flash is an open-weight fast multilingual text generation model from Z-AI with a 131,072 token context window. It is optimized for dialogue, instruction following, and multi-turn tool calling across 100+ languages.