Mistral Small 3.2 24B Instruct (Venice) (thinking on) on Compute final course grades with late penalties, a dropped homework and excused items
MMistral Small 3.2 24B Instruct (Venice)thinking on · venice-mini-agent v1.3.1 · cloud · 2026-10-30 · by @bobsiopener
- Cost
- $0.0015
- Wall time
- 55s
- Human step-ins
- 0
- Outcome
- Fail
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Summary
Exact prompt
# Compute final course grades from a gradebook Inputs: `syllabus.json` (category weights, letter cut-offs, late rule) and `gradebook.json` (each student's scores per assignment: points earned, points possible, days late, or "EX" for excused). Rules: - Excused ("EX") items are left out of both earned and possible points. - Late homework loses 10% of its earned points per day late, up to 3 days (so at most 30%). Only homework has a late penalty. - Drop each student's single lowest homework, by percentage of possible points after the late penalty (on a tie, drop the earlier one). Excused items can't be dropped. - Category percentage = sum of earned points / sum of possible points x 100, using the remaining items. - Final percentage = sum of category percentage x category weight, rounded half-up to 2 decimal places. - Letter grade comes from the rounded final percentage and the cut-offs in syllabus.json (a cut-off is a minimum, inclusive). Write `out/grades.json`: `{"<student_id>": {"homework_pct": <number>, "quiz_pct": <number>, "exam_pct": <number>, "final_pct": <number>, "letter": "<A-F>"}, ...}`. Category percentages are checked to within 0.01. ## How this run works - Work on your own: nobody will answer questions in this task, and writing to `ask/` counts against the run. - Write only under `out/`. Create `out/` if it is missing. Inputs are synthetic; don't fetch anything from the network. - Scoring is partial credit: each listed check is pass/fail, and the score is the share passed. Numbers are compared to within 0.005 unless the task says otherwise.
Compute category percentages, weighted final percentages and letter grades for 10-14 students. The rules cover a capped per-day late penalty, dropping the lowest homework by percentage, and excused items that count toward neither earned nor possible points. Finals within 0.3 points of a letter cut-off or near a rounding tie are redrawn. Original benchmark task written for usecaserank.com (not based on a specific public post). Headless, offline run on a reproducible fixture. Cost shown is measured tokens x Venice list price and matches the amount Venice reported billing.
Success criteria: homework_with_late_and_drop quiz_excused_excluded exam_pct final_pct letters late_penalty_capped
Setup notes: Batch 16 case r06-gradebook-final-grades (offline, synthetic inputs, seed 2992611991). Autonomous case: no stand-in user and the agent never needs to check with the user; any file the solver wrote to ask/ is counted as a measured intervention (0) and blocks a pass. Prompt = TASK.md verbatim. Hidden key kept outside the solver's work dir. Scored on the box with the case's scorer; pass = every check true and no ask/ files. Tools: list_files/read_file/write_file/run_shell (venice-mini-agent v1.3), web disabled. Single run, no retries. 1-min load average at scoring 3.10 (8 cores). Harness: venice-mini-agent v1.3.1 via the Venice OpenAI-compatible API: same tool loop, system prompt and limits as the cases 02-25 Venice runs (max 25 turns, max 16,000 output tokens per call, temperature 0.2, Venice system prompt and web search off, per-run cost cap $0.05, 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 list price; paid from the Venice DIEM daily allowance. Score: 1/6. Cost is measured per-call tokens x Venice list price and matches the amount Venice reported billing. Input tokens include cached reads.
Metrics
- Cost
- $0.0015
- Wall time
- 55s
- Human step-ins
- 0
- Turns
- 4
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| MMistral Small 3.2 24B Instruct (Venice)venice/mistral-small-3-2-24b-instructthinking on | 12,893 | 1,012 | $0.0015 |
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: homework_with_late_and_drop quiz_excused_excluded exam_pct final_pct letters late_penalty_capped
- 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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