Mistral Small 3.2 24B Instruct (Venice) (thinking on) on Tide height by rule of twelfths and cosine, with under-keel clearance windows
MMistral Small 3.2 24B Instruct (Venice)thinking on · venice-mini-agent v1.3.1 · cloud · 2026-10-26 · by @bobsiopener
- Estimated cost
- $0.0020
- Wall time
- 24s
- Human step-ins
- 0
- Outcome
- Fail
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Superseded. This run was rescored on 2026-10-28 and replaced by a newer run. It no longer counts toward rankings, use-case tables or the data export; it is kept here for the record.
Summary
Exact prompt
# Tide height by rule of twelfths and cosine, and under-keel clearance `input.json` (synthetic, not for navigation) gives two consecutive tide events `event1` and `event2` (`time_min` minutes, `height_m`; either rising or falling), `chart_depth_m`, the boat's `draft_m`, required `min_ukc_m`, `need_minutes`, and `queries` (minutes). Write `solve.py` (Python 3 standard library only); `python solve.py input.json answer.json` writes `answer.json` and `tide.svg`. Fresh inputs are used too. ## Rules Let T = event2 time - event1 time and f = (t - event1 time) / T clamped to [0, 1]. Height = h1 + (h2 - h1) * F(f). - **Twelfths**: split [0, 1] into 6 equal parts; cumulative fractions at the part boundaries are 0, 1, 3, 6, 9, 11, 12 twelfths; interpolate linearly inside a part. - **Cosine**: F(f) = (1 - cos(pi * f)) / 2. - Under-keel clearance UKC = chart_depth + height(twelfths) - draft. A query is `safe` if UKC >= min_ukc. `required_height_m` = draft + min_ukc - chart_depth. - Safe window (per method): scan whole minutes t from event1 to event2 inclusive; a run is consecutive minutes with height >= required height. Report the first run whose length end - start (minutes) is >= `need_minutes` as `{"start", "end"}` (first and last safe minute), or null. - `max_method_diff_m`: the largest |twelfths - cosine| over those whole minutes. Use a 1e-9 tolerance on the >= comparisons. Round heights and UKC to 3 decimals. ## Visual output: tide.svg Static, self-contained SVG (root `<svg>`, no scripts, images, links or external assets; renders headless) with `<polyline id="tide-twelfths">`, `<polyline id="tide-cosine">` and `<line id="min-depth-line">` at the required height. The drawing itself is not graded. ## answer.json `{"required_height_m", "queries": [{"t", "twelfths", "cosine", "ukc", "safe"}, ...], "window_twelfths", "window_cosine", "max_method_diff_m"}` ## Scoring Hidden checks (partial credit; all must pass): `query_heights`, `safe_windows` (exact), `method_difference`, `tide_svg_static` (tide.svg exists, follows the static rules, has the ids/tags above), `fresh_run_1`, `fresh_run_2`. Numbers within 0.0015. 60-second limit per run.
Piecewise twelfths interpolation vs the cosine curve on rising and falling tides, a clamped fraction, a minute-by-minute run search with a length rule, and exact window endpoints. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x pricing.json list price).
Benchmark code for comparing AI models, not navigation or safety software.
Success criteria: 1. query_heights 2. safe_windows 3. method_difference 4. tide_svg_static 5. fresh_run_1 6. fresh_run_2
Setup notes: Use Case Scout batch 10 case k05-tide-underkeel-clearance (offline fixture). Prepared with batch10/prepare.sh; hidden key/tests kept outside the agent's work dir. Prompt = TASK.md verbatim. Scored with the scout's scorer: `python score.py WORKDIR KEYDIR`. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. Visual output (tide.svg) rendered offline to PNG with google-chrome headless, network blocked, 1280x800 at ~3 s after load. Harness: venice-mini-agent v1.3.1 (/workspace/usecase-runner/venice_agent2.py) via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.0106, thinking on (model default)). Same task text, work-dir layout and scorer as the Claude runs of this case. Cost = measured per-call tokens x venice_prices.json list price; paid from the Venice DIEM daily allowance. first_try_success corrected to false on 2026-10-25: a harness bug (venice_x/vcc.py finalize did not tie it to success) had set it true on failed runs; scores and measurements unchanged. Harness: venice-mini-agent v1.3.1 via Venice OpenAI-compatible API (16000 max tokens/call, $0.0106 run cap). Score: 1/6. Cost is an ESTIMATE: measured per-call tokens x pricing.json list price (paid from Venice DIEM allowance; Venice billing not itemized). input_tokens include cached reads. Single run.
Estimated cost List-price estimate; not actually billed.
Output
Metrics
- Estimated cost
- $0.0020
- Wall time
- 24s
- Human step-ins
- 0
- Turns
- 7
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| MMistral Small 3.2 24B Instruct (Venice)venice/mistral-small-3-2-24b-instructthinking on | 15,716 | 1,987 | $0.0020 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Mistral Small 3.2 24B Instruct (Venice) (venice/mistral-small-3-2-24b-instruct, thinking on) via
venice-mini-agent v1.3.1, cloud. - It counts as a success only if it meets every success criterion: 1. query_heights 2. safe_windows 3. method_difference 4. tide_svg_static 5. fresh_run_1 6. fresh_run_2
- Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.
How runs are scored: Methodology.
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Automated checks
Trust 80% comes from these checks (how Trust % works).
- Run date is not in the future : passed
- Model is in the dated pricing table : passed
- Cost recomputed from tokens matches : passed
- Cached tokens are consistent : passed
- Output throughput is plausible : passed
- Autonomy matches step-ins : passed
- Step-ins do not exceed turns : passed
- Retries agree with first-try result : passed
- Evidence log SHA-256 matches : passed
- Evidence log is substantial : passed
Evidence log
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"error": null,
"fatal": false
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"arguments": "{\"path\": \"./solve.py\", \"content\": \"import json\\r\\nimport math\\r\\n\\r\\ndef F_cosine(f):\\r\\n return 0.5 * (1 - math.cos(math.pi * f))\\r\\n\\r\\ndef F_twelfths(f):\\r\\n if f <= 0:\\r\\n return 0.0\\r\\n elif f <= 1 / 6:\\r\\n return 1 / 12 * f * 12\\r\\n elif f <= 2 / 6:\\r\\n return 1 + (2 / 12 + (f - 1 / 6) * 12)\\r\\n elif f <= 3 / 6:\\r\\n return 3 + (3 / 12 + (f - 2 / 6) * 12)\\r\\n elif f <= 4 / 6:\\r\\n return 6 + (4 / 12 + (f - 3 / 6) * 12)\\r\\n elif f <= 5 / 6:\\r\\n return 9 + (5 / 12 + (f - 4 / 6) * 12)\\r\\n else:\\r\\n return 12\\r\\n\\r\\ndef height(t, event1, event2, method):\\r\\n T = event2[\\\"time_min\\\"] - event1[\\\"time_min\\\"]\\r\\n f = (t - event1[\\\"time_min\\\"]) / T\\r\\n f = max(0, min(1, f))\\r\\n if method == \\\"twelfths\\\":\\r\\n return event1[\\\"height_m\\\"] + (event2[\\\"height_m\\\"] - event1[\\\"height_m\\\"]) * F_twelfths(f)\\r\\n else:\\r\\n return event1[\\\"height_m\\\"] + (event2[\\\"height_m\\\"] - event1[\\\"height_m\\\"]) * F_cosine(f)\\r\\n\\r\\ndef find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, method):\\r\\n required_height = draft + min_ukc - chart_depth\\r\\n start = None\\r\\n end = None\\r\\n current_start = None\\r\\n for t in range(event1[\\\"time_min\\\"], event2[\\\"time_min\\\"] + 1):\\r\\n h = height(t, event1, event2, method)\\r\\n if h >= required_height:\\r\\n if current_start is None:\\r\\n current_start = t\\r\\n else:\\r\\n if current_start is not None:\\r\\n if t - current_start >= need_minutes:\\r\\n start = current_start\\r\\n end = t - 1\\r\\n break\\r\\n current_start = None\\r\\n return {\\\"start\\\": start, \\\"end\\\": end} if start is not None else None\\r\\n\\r\\ndef max_method_diff(event1, event2):\\r\\n max_diff = 0\\r\\n T = event2[\\\"time_min\\\"] - event1[\\\"time_min\\\"]\\r\\n for t in range(event1[\\\"time_min\\\"], event2[\\\"time_min\\\"] + 1):\\r\\n f = (t - event1[\\\"time_min\\\"]) / T\\r\\n f = max(0, min(1, f))\\r\\n h_twelfths = F_twelfths(f)\\r\\n h_cosine = F_cosine(f)\\r\\n diff = abs(h_twelfths - h_cosine)\\r\\n if diff > max_diff:\\r\\n max_diff = diff\\r\\n return max_diff\\r\\n\\r\\ndef generate_svg(event1, event2, chart_depth, draft, min_ukc):\\r\\n required_height = draft + min_ukc - chart_depth\\r\\n points_twelfths = []\\r\\n points_cosine = []\\r\\n for t in range(event1[\\\"time_min\\\"], event2[\\\"time_min\\\"] + 1):\\r\\n h_twelfths = height(t, event1, event2, \\\"twelfths\\\")\\r\\n h_cosine = height(t, event1, event2, \\\"cosine\\\")\\r\\n points_twelfths.append(f\\\"{t},{h_twelfths:.3f}\\\")\\r\\n points_cosine.append(f\\\"{t},{h_cosine:.3f}\\\")\\r\\n svg_content = f\\\"\\\"\\\"<svg width=\\\"800\\\" height=\\\"400\\\" xmlns=\\\"http://www.w3.org/2000/svg\\\">\\r\\n <polyline points=\\\"{';'.join(points_twelfths)}\\\" style=\\\"fill:none;stroke:black;stroke-width:2\\\" id=\\\"tide-twelfths\\\" />\\r\\n <polyline points=\\\"{';'.join(points_cosine)}\\\" style=\\\"fill:none;stroke:red;stroke-width:2\\\" id=\\\"tide-cosine\\\" />\\r\\n <line x1=\\\"{event1['time_min']}\\\" y1=\\\"{required_height}\\\" x2=\\\"{event2['time_min']}\\\" y2=\\\"{required_height}\\\" style=\\\"stroke:blue;stroke-width:2\\\" id=\\\"min-depth-line\\\" />\\r\\n</svg>\\\"\\\"\\\"\\r\\n return svg_content\\r\\n\\r\\ndef main():\\r\\n with open(\\\"input.json\\\", \\\"r\\\") as f:\\r\\n data = json.load(f)\\r\\n\\r\\n event1 = data[\\\"event1\\\"]\\r\\n event2 = data[\\\"event2\\\"]\\r\\n chart_depth = data[\\\"chart_depth_m\\\"]\\r\\n draft = data[\\\"draft_m\\\"]\\r\\n min_ukc = data[\\\"min_ukc_m\\\"]\\r\\n need_minutes = data[\\\"need_minutes\\\"]\\r\\n queries = data[\\\"queries\\\"]\\r\\n\\r\\n required_height = draft + min_ukc - chart_depth\\r\\n queries_result = []\\r\\n for t in queries:\\r\\n h_twelfths = height(t, event1, event2, \\\"twelfths\\\")\\r\\n h_cosine = height(t, event1, event2, \\\"cosine\\\")\\r\\n ukc_twelfths = chart_depth + h_twelfths - draft\\r\\n ukc_cosine = chart_depth + h_cosine - draft\\r\\n safe_twelfths = ukc_twelfths >= min_ukc\\r\\n safe_cosine = ukc_cosine >= min_ukc\\r\\n queries_result.append({\\r\\n \\\"t\\\": t,\\r\\n \\\"twelfths\\\": round(h_twelfths, 3),\\r\\n \\\"cosine\\\": round(h_cosine, 3),\\r\\n \\\"ukc\\\": round(ukc_twelfths, 3),\\r\\n \\\"safe\\\": safe_twelfths and safe_cosine\\r\\n })\\r\\n\\r\\n window_twelfths = find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, \\\"twelfths\\\")\\r\\n window_cosine = find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, \\\"cosine\\\")\\r\\n max_diff = max_method_diff(event1, event2)\\r\\n\\r\\n result = {\\r\\n \\\"required_height_m\\\": round(required_height, 3),\\r\\n \\\"queries\\\": queries_result,\\r\\n \\\"window_twelfths\\\": window_twelfths,\\r\\n \\\"window_cosine\\\": window_cosine,\\r\\n \\\"max_method_diff_m\\\": round(max_diff, 3)\\r\\n }\\r\\n\\r\\n with open(\\\"answer.json\\\", \\\"w\\\") as f:\\r\\n json.dump(result, f, indent=4)\\r\\n\\r\\n svg_content = generate_svg(event1, event2, chart_depth, draft, min_ukc)\\r\\n with open(\\\"tide.svg\\\", \\\"w\\\") as f:\\r\\n f.write(svg_content)\\r\\n\\r\\nif __name__ == \\\"__main__\\\":\\r\\n main()\"}"
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"content": "import json\r\nimport math\r\n\r\ndef F_cosine(f):\r\n return 0.5 * (1 - math.cos(math.pi * f))\r\n\r\ndef F_twelfths(f):\r\n if f <= 0:\r\n return 0.0\r\n elif f <= 1 / 6:\r\n return 1 / 12 * f * 12\r\n elif f <= 2 / 6:\r\n return 1 + (2 / 12 + (f - 1 / 6) * 12)\r\n elif f <= 3 / 6:\r\n return 3 + (3 / 12 + (f - 2 / 6) * 12)\r\n elif f <= 4 / 6:\r\n return 6 + (4 / 12 + (f - 3 / 6) * 12)\r\n elif f <= 5 / 6:\r\n return 9 + (5 / 12 + (f - 4 / 6) * 12)\r\n else:\r\n return 12\r\n\r\ndef height(t, event1, event2, method):\r\n T = event2[\"time_min\"] - event1[\"time_min\"]\r\n f = (t - event1[\"time_min\"]) / T\r\n f = max(0, min(1, f))\r\n if method == \"twelfths\":\r\n return event1[\"height_m\"] + (event2[\"height_m\"] - event1[\"height_m\"]) * F_twelfths(f)\r\n else:\r\n return event1[\"height_m\"] + (event2[\"height_m\"] - event1[\"height_m\"]) * F_cosine(f)\r\n\r\ndef find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, method):\r\n required_height = draft + min_ukc - chart_depth\r\n start = None\r\n end = None\r\n current_start = None\r\n for t in range(event1[\"time_min\"], event2[\"time_min\"] + 1):\r\n h = height(t, event1, event2, method)\r\n if h >= required_height:\r\n if current_start is None:\r\n current_start = t\r\n else:\r\n if current_start is not None:\r\n if t - current_start >= need_minutes:\r\n start = current_start\r\n end = t - 1\r\n break\r\n current_start = None\r\n return {\"start\": start, \"end\": end} if start is not None else None\r\n\r\ndef max_method_diff(event1, event2):\r\n max_diff = 0\r\n T = event2[\"time_min\"] - event1[\"time_min\"]\r\n for t in range(event1[\"time_min\"], event2[\"time_min\"] + 1):\r\n f = (t - event1[\"time_min\"]) / T\r\n f = max(0, min(1, f))\r\n h_twelfths = F_twelfths(f)\r\n h_cosine = F_cosine(f)\r\n diff = abs(h_twelfths - h_cosine)\r\n if diff > max_diff:\r\n max_diff = diff\r\n return max_diff\r\n\r\ndef generate_svg(event1, event2, chart_depth, draft, min_ukc):\r\n required_height = draft + min_ukc - chart_depth\r\n points_twelfths = []\r\n points_cosine = []\r\n for t in range(event1[\"time_min\"], event2[\"time_min\"] + 1):\r\n h_twelfths = height(t, event1, event2, \"twelfths\")\r\n h_cosine = height(t, event1, event2, \"cosine\")\r\n points_twelfths.append(f\"{t},{h_twelfths:.3f}\")\r\n points_cosine.append(f\"{t},{h_cosine:.3f}\")\r\n svg_content = f\"\"\"<svg width=\"800\" height=\"400\" xmlns=\"http://www.w3.org/2000/svg\">\r\n <polyline points=\"{';'.join(points_twelfths)}\" style=\"fill:none;stroke:black;stroke-width:2\" id=\"tide-twelfths\" />\r\n <polyline points=\"{';'.join(points_cosine)}\" style=\"fill:none;stroke:red;stroke-width:2\" id=\"tide-cosine\" />\r\n <line x1=\"{event1['time_min']}\" y1=\"{required_height}\" x2=\"{event2['time_min']}\" y2=\"{required_height}\" style=\"stroke:blue;stroke-width:2\" id=\"min-depth-line\" />\r\n</svg>\"\"\"\r\n return svg_content\r\n\r\ndef main():\r\n with open(\"input.json\", \"r\") as f:\r\n data = json.load(f)\r\n\r\n event1 = data[\"event1\"]\r\n event2 = data[\"event2\"]\r\n chart_depth = data[\"chart_depth_m\"]\r\n draft = data[\"draft_m\"]\r\n min_ukc = data[\"min_ukc_m\"]\r\n need_minutes = data[\"need_minutes\"]\r\n queries = data[\"queries\"]\r\n\r\n required_height = draft + min_ukc - chart_depth\r\n queries_result = []\r\n for t in queries:\r\n h_twelfths = height(t, event1, event2, \"twelfths\")\r\n h_cosine = height(t, event1, event2, \"cosine\")\r\n ukc_twelfths = chart_depth + h_twelfths - draft\r\n ukc_cosine = chart_depth + h_cosine - draft\r\n safe_twelfths = ukc_twelfths >= min_ukc\r\n safe_cosine = ukc_cosine >= min_ukc\r\n queries_result.append({\r\n \"t\": t,\r\n \"twelfths\": round(h_twelfths, 3),\r\n \"cosine\": round(h_cosine, 3),\r\n \"ukc\": round(ukc_twelfths, 3),\r\n \"safe\": safe_twelfths and safe_cosine\r\n })\r\n\r\n window_twelfths = find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, \"twelfths\")\r\n window_cosine = find_safe_window(event1, event2, chart_depth, draft, min_ukc, need_minutes, \"cosine\")\r\n max_diff = max_method_diff(event1, event2)\r\n\r\n result = {\r\n \"required_height_m\": round(required_height, 3),\r\n \"queries\": queries_result,\r\n \"window_twelfths\": window_twelfths,\r\n \"window_cosine\": window_cosine,\r\n \"max_method_diff_m\": round(max_diff, 3)\r\n }\r\n\r\n with open(\"answer.json\", \"w\") as f:\r\n json.dump(result, f, indent=4)\r\n\r\n svg_content = generate_svg(event1, event2, chart_depth, draft, min_ukc)\r\n with open(\"tide.svg\", \"w\") as f:\r\n f.write(svg_content)\r\n\r\nif __name__ == \"__main__\":\r\n main()"
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