PingModel vs Sencha

Most AI tools give you one assistant and expect it to do everything. PingModel takes a different approach. @mention the model you need, compare perspectives side by side, and make decisions with better signal — all in one workspace. PingModel is BYOK (bring your own key). You connect your own provider keys, choose your own models, and keep full control over cost and access. Nothing is routed through us. > How It Works - @mention any bot: Ping the model you need by name. No menus, no mode switching — just @mention a bot in a channel and it answers your query. - Simultaneous mode: All bots reply to the same query at once. Compare reasoning, tone, and accuracy across models in a single glance. - Collaboration mode: Bots respond one after another, each building on the conversation. One model drafts, another critiques, a third refines. > Workspace Features - Multi-bot channels: Talk with multiple model-backed bots in a single conversation. - Threaded discussions: Keep deep dives separate while preserving context in the main timeline. - Per-bot configuration: Set model, handle, temperature, and system prompt so every bot carries a distinct role. - Channel system prompts: Define stable instructions that carry into both channel and thread replies. - Context controls: Choose full history when continuity matters, or limit to the last N messages for faster, tighter responses. - Provider management: Configure providers and custom endpoints with full flexibility. - iOS-native experience: Fast, polished interface built for daily use. > Supported Providers OpenRouter · OpenAI · Anthropic · Azure OpenAI · Cerebras · DeepSeek · Google AI · Groq · Mistral AI · Ollama · Perplexity · xAI · Kimi · Z.AI · Zhipu · MiniMax · and any OpenAI-compatible endpoint. PingModel helps you compare perspectives, reduce noise, and choose better answers — all from one workspace.

A native LLM client for on-device inference, LLM APIs, and self-hosted servers, built around a minimal, responsive interface. Download a supported model and chat offline without an API key or account. Or connect OpenRouter, direct providers, and compatible endpoints using your own credentials. On-Device Models • Download models from the built-in catalog, including Gemma 4, Qwen 3.5, Bonsai, and LFM 2.5 • Choose model sizes and quantization options to suit your device • Configure context window, reply length, and image detail where supported • Use streaming, thinking traces, image attachments, and web tools with compatible models • Reduce reprocessing of earlier messages with on-disk prompt caching Model capabilities and performance depend on the selected model and available device memory. Connections and Models • Connect OpenRouter, OpenCode, and direct providers • Add OpenAI- or Anthropic-compatible endpoints, including self-hosted runtimes such as Ollama and LM Studio • Use Chat Completions, Responses API, or Messages API • Choose an on-device or connected model per chat • Browse model catalogs and inspect context size, output limits, pricing, and capabilities where available • Configure reasoning effort, prompt caching, routing, and model tools where supported Web Search and Fetch • Use the included free web search via Markdown.new • Or configure Brave Search, Tavily, Exa, Serper, SerpApi, Parallel, or Keenable • Choose search-depth presets for Exa and Tavily • Fetch pages on device or through Markdown.new or Firecrawl • Configure fetch providers and fallbacks independently Files and Output • Attach photos, documents, and PDFs • Send PDFs natively, extract embedded text, run on-device OCR, or render pages as images • Read responses with formatted Markdown, code, mathematical formulas, and tables • Copy generated tables as a table, Markdown, or a complete image Voice Input • Use Apple Speech for on-device dictation • Download local transcription models • Connect API-based transcription providers The app is free, with no ads or app subscription. On-device models require no provider account or API key. Connected services are subject to their own pricing, limits, and data policies.