OC Remote vs LLM Bench

OC Remote is your mobile control center for OpenCode. Keep coding sessions moving when you’re away from your desk—without giving up visibility or control. Connect to stable OpenCode V2 or classic V1 by scanning a pairing code, pasting a URL, using your local network, or connecting securely through Tailscale. With OC Remote, you can: • Watch live session timelines and active runs • Send prompts and choose agents, models, and thinking effort • Answer structured questions and approve permissions • Review changed files and inspect line-by-line diffs • Continue, retry, stop, fork, revert, or unrevert sessions • Use project terminals with interactive PTY support • Browse project files and manage integrations and MCP authentication • Dictate prompts on-device, even offline Browse projects and monitor sessions for free. OC Remote Pro unlocks remote controls with an annual auto-renewable subscription. Your OpenCode server stays under your control. OC Remote connects directly to endpoints you configure and provides clear diagnostics when a local, loopback, or Tailscale address needs attention. Terms of Use: https://ocremote.didac.dev/terms Privacy Policy: https://ocremote.didac.dev/privacy OC Remote is an independent client application. It is not affiliated with, endorsed by, or sponsored by OpenCode or Anomaly Innovations, Inc. “OpenCode” is referenced only to describe compatibility with user-configured OpenCode servers.

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/