AI Model Reviewer

DeepSeek V4.1 Flash in OpenCode 1.18.32

skills off

← Open in the gallerySame prompt, all models

Zoom, inline player and more ways to view
Open the original page

The model's own page, run in a sandboxed frame only when you ask (a page that needs its own origin opens in a new tab on a separate demo site). Phones get a full-screen player capped at 1.5x pixel density (2x on larger screens) so it stays smooth; the original page runs uncapped. It starts in its auto-tour (T switches to play mode on a keyboard).

OKGame battleshipmax effortNeutral harness

Wall time 7m 45sCost $0.069 reported

Review

No verdict yet.

The full review

OK. Finished on its own after 7.7 min.

Scores

AI judge

Not scored

No rubric for this prompt

Visitor votes and reviewer grades are not available yet.

AI judge
AI judge: the test runner (model claude-opus-5-5), scoring by visual review of the 1600 px render against the pre-registered rubric. No AI-judge score exists for this result: there is no rubric for this prompt, so no score is shown and none is made up.
Visitors
Public voting with a blind reveal is coming: you score the output first, then see the other scores.
Reviewer
The reviewer's own grade appears here once it is added.

Scores compare results for the same prompt only. AI-judge boards rank runs within one prompt, equal totals sharing a rank; scores from different prompts are never averaged.

Downloads

Files actually published for this run. Original output, site-made previews and post-run conversions are labelled separately.

The exact prompt

as run, 492 characters. Every result for this prompt

Build a complete, polished Battleship game playable in the browser (index.html plus any JS/CSS, no build step). Player vs computer on 10x10 grids: ship placement (drag or click, with rotate), a computer opponent with a sensible hunt/target strategy, hit/miss/sunk feedback with animation and sound, turn indicator, win/lose screen and restart. It must work with mouse and touch and look good on desktop and phone. Write everything into the working directory and finish with a short README.md.

How it was made

Wall time 7m 45sFirst artifact at 3m 47s

Step by step

The prompt, every agent turn and tool call (tool name and a one-line summary; inputs and outputs are not shown), then the final message. The full machine-format transcript is published as a scrubbed download.

Show all 87 steps

Loading the timeline…

Download the full transcript OpenCode session export, 480 KB. Scrubbed: anything that looks like a key, token, e-mail address or phone number is replaced, and account details and the test machine's file paths are removed.

Cost breakdown

Headline cost $0.069, as reported by OpenCode (its own bill for the run). The list-price estimate from the token counts is $0.069.

Tokens by typeTokens$ per 1MCost
Input (uncached)19,531$0.15$0.0029
Cache write0$0.15$0
Cache read3,613,952$0.00$0.0108
Output91,657$0.60$0.0550
of which reasoning62,748billed as output
Total computed from tokens
$0.0688
Total reported by the harness
$0.0688
Difference
matches

OpenCode 1.18.32 reported its own total; token counts x list prices shown beside it. The harness reports reasoning tokens separately from output; here output includes them (28,909 visible + 62,748 reasoning), and both bill at the output rate.

Prices: https://api-docs.deepseek.com/quick_start/pricing, 2026-09-24.

Run notes

one prompt, agentic harness (self-review allowed)labelled re-run (of game_battleship__opencode__deepseek-flash)

  • frozen prompt (written), used verbatim
  • plain OpenCode config copy (providers only; no ECC instructions/agents)
  • opencode export written to a file (not piped)
  • Mode: interactive TUI in tmux (160x48), inside bubblewrap sandbox
  • Isolation audit: none