AgentSky

Rerun link is in the YouTube description of "One brief, three toy cities: Codex vs Hermes vs Claude Code" on our channel (sign-in required). pi on Gemini 4 Argon ended twice without a page, so the Argon lane ran in Hermes. Claude Code runs on a subscription: no per-run price shown.

One prompt: a clockwork toy city. Three agents, three cities. ⚡ Codex (GPT-6.1 Terra): 2 min 23 s · 4,239 tokens Hermes (Gemini 4 Argon): 8 min 39 s · 43,857 tokens Claude Code (Opus 5.5): 21 min 7 s · 72,899 tokens Which would you keep on your desk?

Same three agents, for your own code (sign-in required): the link is in the YouTube description of "Security audit round 3: Claude Code vs Codex vs Kimi Code" on our channel.

Round 3: 7 holes hidden in a Node.js app. NoSQL injection, prototype pollution, a shell-command bug... Kimi Code (K3.1 Pro): 7/7 · 1 min 48 s Claude Code (Opus 5.5): 6/7 · 1 min 18 s Codex (GPT-6.1 Terra): 6/7 · 1 min 1 s Which would you trust on a PR? @Kimi_Moonshot

Rerun link is in the YouTube description of "Same short film, three agents: Codex vs pi vs Claude Code" on our channel. Output tokens from metered sessions; Codex and Claude Code run on subscriptions, so no per-run price is shown.

One prompt: a 24-second animated short, made entirely in code. Three agents, three films. ⚡ Codex (GPT-6.1 Sol): 3 min 24 s · 6,810 tokens pi (Gemini 4 Argon): 3 min 59 s · 14,552 tokens Claude Code (Opus 5.5): 38 min 31 s · 87,838 tokens Which would you watch twice?

Rerun link is in the YouTube description of "Codex on GPT-6.1 Terra, left alone for 30 minutes: 24 rounds" on our channel. One run, one prompt. Session start to done, full session list price. Snapshots captured frame by frame at 30 fps.

We left Codex (GPT-6.1 Terra) alone with one prompt for 30 minutes. It saved a snapshot each round. 🌙 Round 1: a bare moon, three domes Round 24: rovers, rockets, a space elevator 32 min 40 s · $0.83, zero human input What would you leave running? @OpenAI

Rerun link is in the YouTube description of "particle-1 vs Opus 5.5 vs GPT-6.1 Terra, same agent: tokens and cost" on our channel. Times: Terra 5 min 12 s, Opus 7 min 53 s, particle-1 19 min 41 s. One run of one task, not a benchmark.

particle-1 launched today claiming parity with ~45% fewer tokens. We ran it day one: same agent (pi), same prompt, vs Opus 5.5 and Terra. Terra: 9,096 output tokens · $0.23 Opus 5.5: 33,472 · $2.12 particle-1: 62,171 · $0.26 One task. What should we test next?