LLM Bench vs Kodo

LLM Bench is an iOS test bench for developers comparing on-device LLM behavior under real device constraints. Run the same prompt against selected local model targets and compare the evidence before choosing what belongs in your app. LLM Bench focuses on practical signals: load time, first output time, generation time, output speed, memory, thermal state, model readiness, raw output text, failures, and saved run history. Use LLM Bench to: - Compare GPU-capable local model runs on iPhone and iPad. - Run repeatable prompts against selected model targets. - Inspect model output, timing, memory, and thermal state in one place. - Save benchmark runs for later review. - Export benchmark evidence as CSV. - Add models from Hugging Face URLs, direct file URLs, or local imports when the artifact format is supported. LLM Bench is built for technical builders who want a compact measurement tool, not a leaderboard or generic AI chat app. It helps you answer the practical question: which local model behaves well enough on this device for this use case? The free tier includes one completed benchmark run. Subscribing unlocks ongoing benchmarking, saved comparison work, and export workflows. Premium is available as an auto-renewing subscription (monthly or yearly), or a one-time Lifetime purchase. Payment is charged to your Apple ID at purchase; subscriptions renew automatically unless canceled at least 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://thedandano.github.io/michilotl-studios-docs/apps/llm-bench/privacy/ Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/

Edit code on iPhone and iPad with an on-device AI assistant, project workspaces and an interactive SSH terminal. Download an AI model once to use it offline; speed and model availability depend on your device. PROJECTS AND AI • Organize files, documentation and saved project versions in one workspace. • Start with six HTML, CSS and JavaScript templates. • Ask the AI to explain or change code, review proposed changes across multiple files and choose when to apply them. • Get inline code suggestions and recover interrupted AI edit operations. EDIT AND PREVIEW • Syntax highlighting for Python, JavaScript, TypeScript, Swift, HTML, CSS, SQL, Markdown and many other languages and formats. • Multiple tabs, find and replace, snippets, formatting tools and Emmet abbreviations. • Preview HTML and Markdown, inspect the web preview console and edit CSV tables with sorting and filtering. DATABASES AND REMOTE TOOLS • Open SQLite databases, explore tables and run SQL with autocomplete. • Connect to PostgreSQL databases and work with query results. • Use an interactive SSH terminal and transfer files with SFTP or FTP. • Manage npm and Python jobs on your own remote server. • Download GitHub repositories, update linked copies and push files. Local editing and downloaded AI models work offline. GitHub, remote databases, SSH and file transfers require a connection and the relevant server or service credentials. Files you choose to transfer are sent to those services. Kodo does not include a local Python, Node.js, PHP or Swift runtime. Remote commands run on your configured server; the local workspace terminal provides Kodo's built-in file and project commands.