Skip to content

Mistral Small 3.2 24B Instruct (Venice) (thinking on) on Progressive tax on fictional brackets, and pre-tax vs after-tax savings comparison

MMistral Small 3.2 24B Instruct (Venice)thinking on · venice-mini-agent v1.3.1 · cloud · 2026-10-26 · by @bobsiopener

Trust 80%Fully autonomousfail · 0 retriesSuperseded
Estimated cost
$0.0022
Wall time
20s
Human step-ins
0
Outcome
Fail

Compare with other models on this task →

Superseded.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

# Progressive tax on fictional brackets, and pre-tax ("traditional") vs after-tax ("Roth") savings `input.json` contains a **fictional** tax system (brackets and standard deductions per filing status), a list of incomes to tabulate, and savings scenarios. Write `solve.py` (Python 3 standard library only) so that `python solve.py input.json answer.json` computes the answers below. Use only the numbers in the input. We re-run it on fresh inputs, so do not hard-code anything. ## Rules 1. Taxable income = max(0, gross income - `standard_deduction[filing]`). 2. Brackets for a filing status are a list of `[lower_bound, rate]` sorted by bound. Rate j applies to the part of taxable income above `lower_bound_j` and up to `lower_bound_{j+1}` (the last bracket has no upper bound). Tax = sum over brackets. 3. Marginal rate = the rate of the last bracket whose lower bound is strictly below taxable income; if taxable income is 0, the first bracket's rate. 4. `tax_table`: for each `[filing, income]` in input order output `{"filing", "income", "tax", "effective_rate", "marginal_rate"}`; effective_rate = tax / income (0 when income is 0), 6 decimals. 5. Scenarios (each has `name`, `filing`, `wages`, `contribution`, `years`, `growth`, `retire_filing`, `retire_other_income`): - `tax_now_traditional` = tax on (wages - contribution); `tax_now_roth` = tax on wages; `tax_saved_now` = their difference; `marginal_rate_now` = marginal rate (rule 3) at the taxable income of (wages - contribution). - `traditional_balance` F = contribution * (1 + growth) ** years. `withdrawal_tax` = tax(retire_other_income + F) - tax(retire_other_income), both with `retire_filing`, taken as one withdrawal in a single year. `traditional_after_tax` = F - withdrawal_tax. - Same out-of-pocket cost: the after-tax account receives (contribution - tax_saved_now), so `roth_after_tax` = (contribution - tax_saved_now) * (1 + growth) ** years. - `winner` = "traditional" or "roth", whichever after-tax value is larger, or "tie" if they differ by less than 0.005. 6. Round money to 2 decimals and rates to 6 only when writing (bracket rates are written as given). ## Output `answer.json`: `{"tax_table": [...], "scenarios": [{"name", "tax_now_traditional", "tax_now_roth", "tax_saved_now", "marginal_rate_now", "traditional_balance", "withdrawal_tax", "traditional_after_tax", "roth_after_tax", "winner"}, ...]}` in input order. ## Scoring Hidden checks (partial credit = fraction passed; all must pass), money within 0.011, rates within 0.000001, winners exact: `tax_table_amounts`, `effective_and_marginal`, `scenario_tax_now`, `scenario_future_values`, `scenario_winners` on the given input; `fresh_run_1`, `fresh_run_2`: the whole answer on fresh inputs (tolerance 0.011). Each run has a 60-second limit.

Incomes placed exactly on bracket boundaries test the strict marginal-rate rule; the equal out-of-pocket comparison and the lump-withdrawal tax at retirement decide winners. Inspired by https://x.com/aiedge_/status/2085736499518271932 Headless, offline run on a reproducible fixture. Cost shown is a list-price estimate (measured tokens x pricing.json list price).

These are synthetic test cases for comparing AI models, not financial advice.

Success criteria: 1. tax_table_amounts 2. effective_and_marginal 3. scenario_tax_now 4. scenario_future_values 5. scenario_winners 6. fresh_run_1 7. fresh_run_2

Setup notes: Use Case Scout batch 9 case j05-tax-brackets-roth-vs-traditional (offline fixture). Prepared with batch9/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. 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 $0.0127, 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, $0.0127 run cap). Score: 3/7. 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.

Metrics

Estimated cost
$0.0022
Wall time
20s
Human step-ins
0
Turns
6
Model usage
ModelInput tokOutput tokCost
MMistral Small 3.2 24B Instruct (Venice)venice/mistral-small-3-2-24b-instructthinking on19,0471,539$0.0022

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. 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.
  3. It counts as a success only if it meets every success criterion: 1. tax_table_amounts 2. effective_and_marginal 3. scenario_tax_now 4. scenario_future_values 5. scenario_winners 6. fresh_run_1 7. fresh_run_2
  4. 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.

Was this useful?

⇄ Rerun on another model

Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
[
 {
  "segment_dir": "./usecase-runner/runs/j05-mistral-small-3-2-24b-instruct/venice_output_venice",
  "venice_output": {
   "harness": "venice-mini-agent",
   "harness_version": "1.3.1",
   "max_tokens_per_call": 16000,
   "disable_thinking": false,
   "run_cost_cap": 0.0127,
   "no_tools": false,
   "resumed_from": null,
   "model": "mistral-small-3-2-24b-instruct",
   "start": "2026-10-25T20:35:03-0400",
   "num_turns": 6,
   "tool_calls": 5,
   "usage": {
    "input_tokens": 19047,
    "output_tokens": 1539,
    "cache_read_input_tokens": 0,
    "cache_creation_input_tokens": 0
   },
   "reasoning_tokens": 0,
   "requests": [
    {
     "input_tokens": 1112,
     "output_tokens": 12,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 2058,
     "output_tokens": 1441,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3523,
     "output_tokens": 18,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3581,
     "output_tokens": 19,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 3630,
     "output_tokens": 12,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    },
    {
     "input_tokens": 5143,
     "output_tokens": 37,
     "cached_tokens": 0,
     "cache_write_tokens": 0
    }
   ],
   "cost_usd_venice_list": 0.00217,
   "billed_reported_by_venice": 0.00217,
   "wall_seconds": 19.6,
   "final_message": "The task is now complete. I have created the `solve.py` script, executed it to generate the `answer.json` file, and verified the contents of the output.",
   "error": null,
   "fatal": false
  },
  "trace": [
   {
    "turn": 1,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-RdWdKPrACuiOzEfpsQtwJshC",
     "object": "chat.completion",
     "created": 1792974904,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": null,
        "name": null,
        "tool_calls": [
         {
          "id": "8PW2m2pqq",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"input.json\"}"
          }
         }
        ]
       },
       "finish_reason": "tool_calls",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 1112,
      "completion_tokens": 12,
      "total_tokens": 1124
     },
     "cost": {
      "usd": 0,
      "diem": 0.00010725
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 1,
    "tool": "read_file",
    "args": {
     "path": "input.json"
    },
    "result": "{\n \"note\": \"Fictional tax system for this exercise. Brackets are [lower_bound, rate]; each rate applies to taxable income above its lower bound up to the next bound.\",\n \"brackets\": {\n  \"single\": [\n   [\n    0,\n    0.08\n   ],\n   [\n    12480,\n    0.14\n   ],\n   [\n    49920,\n    0.21\n   ],\n   [\n    109200,\n    0.27\n   ],\n   [\n    208000,\n    0.33\n   ],\n   [\n    499200,\n    0.39\n   ]\n  ],\n  \"joint\": [\n   [\n    0,\n    0.08\n   ],\n   [\n    24960,\n    0.14\n   ],\n   [\n    99840,\n    0.21\n   ],\n   [\n    218400,\n    0.27\n   ],\n   [\n    416000,\n    0.33\n   ],\n   [\n    582400,\n    0.39\n   ]\n  ],\n  \"head\": [\n   [\n    0,\n    0.08\n   ],\n   [\n    18720,\n    0.14\n   ],\n   [\n    74880,\n    0.21\n   ],\n   [\n    163800,\n    0.27\n   ],\n   [\n    312000,\n    0.33\n   ],\n   [\n    748800,\n    0.39\n   ]\n  ]\n },\n \"standard_deduction\": {\n  \"single\": 15600,\n  \"joint\": 31200,\n  \"head\": 23400\n },\n \"tax_table\": [\n  [\n   \"joint\",\n   0\n  ],\n  [\n   \"joint\",\n   15600\n  ],\n  [\n   \"single\",\n   28080\n  ],\n  [\n   \"joint\",\n   65520\n  ],\n  [\n   \"joint\",\n   683000\n  ],\n  [\n   \"single\",\n   669000\n  ],\n  [\n   \"single\",\n   295000\n  ],\n  [\n   \"joint\",\n   144000\n  ],\n  [\n   \"single\",\n   92000\n  ],\n  [\n   \"head\",\n   603000\n  ],\n  [\n   \"joint\",\n   51000\n  ],\n  [\n   \"joint\",\n   714000\n  ]\n ],\n \"scenarios\": [\n  {\n   \"name\": \"S1\",\n   \"filing\": \"single\",\n   \"wages\": 349000,\n   \"contribution\": 23000,\n   \"years\": 16,\n   \"growth\": 0.0401,\n   \"retire_filing\": \"joint\",\n   \"retire_other_income\": 57000\n  },\n  {\n   \"name\": \"S2\",\n   \"filing\": \"single\",\n   \"wages\": 393000,\n   \"contribution\": 12000,\n   \"years\": 24,\n   \"growth\": 0.0431,\n   \"retire_filing\": \"head\",\n   \"retire_other_income\": 55000\n  },\n  {\n   \"name\": \"S3\",\n   \"filing\": \"joint\",\n   \"wages\": 394000,\n   \"contribution\": 12000,\n   \"years\": 9,\n   \"growth\": 0.0477,\n   \"retire_filing\": \"joint\",\n   \"retire_other_income\": 89000\n  },\n  {\n   \"name\": \"S4\",\n   \"filing\": \"single\",\n   \"wages\": 252000,\n   \"contribution\": 6000,\n   \"years\": 24,\n   \"growth\": 0.0398,\n   \"retire_filing\": \"joint\",\n   \"retire_other_income\": 5000\n  },\n  {\n   \"name\": \"S5\",\n   \"filing\": \"joint\",\n   \"wages\": 94000,\n   \"contribution\": 23000,\n   \"years\": 15,\n   \"growth\": 0.048,\n   \"retire_filing\": \"head\",\n   \"retire_other_income\": 116000\n  },\n  {\n   \"name\": \"S6\",\n   \"filing\": \"single\",\n   \"wages\": 93000,\n   \"contribution\": 6000,\n   \"years\": 6,\n   \"growth\": 0.0562,\n   \"retire_filing\": \"head\",\n   \"retire_other_income\": 74000\n  }\n ]\n}"
   },
   {
    "turn": 2,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-RHXyFWq6gxqvgw7gxkmUZ6CF",
     "object": "chat.completion",
     "created": 1792974919,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": null,
        "name": null,
        "tool_calls": [
         {
          "id": "6pyRKhMMz",
          "type": "function",
          "function": {
           "name": "write_file",
           "arguments": "{\"path\": \"solve.py\", \"content\": \"import json\\r\\nimport sys\\r\\n\\r\\ndef compute_tax(income, brackets):\\r\\n    tax = 0.0\\r\\n    for i in range(len(brackets)):\\r\\n        lower_bound, rate = brackets[i]\\r\\n        if i == len(brackets) - 1:\\r\\n            taxable_amount = income - lower_bound\\r\\n        else:\\r\\n            next_lower_bound = brackets[i + 1][0]\\r\\n            taxable_amount = min(income - lower_bound, next_lower_bound - lower_bound)\\r\\n        if taxable_amount > 0:\\r\\n            tax += taxable_amount * rate\\r\\n    return tax\\r\\n\\r\\ndef compute_marginal_rate(income, brackets):\\r\\n    for i in range(len(brackets)):\\r\\n        lower_bound, _ = brackets[i]\\r\\n        if i == len(brackets) - 1 or (i < len(brackets) - 1 and income < brackets[i + 1][0]):\\r\\n            return brackets[i][1]\\r\\n    return 0.0\\r\\n\\r\\ndef process_tax_table(brackets, standard_deduction, tax_table_entries):\\r\\n    tax_table = []\\r\\n    for filing, income in tax_table_entries:\\r\\n        taxable_income = max(0, income - standard_deduction[filing])\\r\\n        tax = compute_tax(taxable_income, brackets[filing])\\r\\n        effective_rate = tax / income if income != 0 else 0.0\\r\\n        marginal_rate = compute_marginal_rate(taxable_income, brackets[filing])\\r\\n        tax_table.append({\\r\\n            \\\"filing\\\": filing,\\r\\n            \\\"income\\\": income,\\r\\n            \\\"tax\\\": round(tax, 2),\\r\\n            \\\"effective_rate\\\": round(effective_rate, 6),\\r\\n            \\\"marginal_rate\\\": round(marginal_rate, 6)\\r\\n        })\\r\\n    return tax_table\\r\\n\\r\\ndef process_scenarios(brackets, standard_deduction, scenarios):\\r\\n    processed_scenarios = []\\r\\n    for scenario in scenarios:\\r\\n        name = scenario[\\\"name\\\"]\\r\\n        filing = scenario[\\\"filing\\\"]\\r\\n        wages = scenario[\\\"wages\\\"]\\r\\n        contribution = scenario[\\\"contribution\\\"]\\r\\n        years = scenario[\\\"years\\\"]\\r\\n        growth = scenario[\\\"growth\\\"]\\r\\n        retire_filing = scenario[\\\"retire_filing\\\"]\\r\\n        retire_other_income = scenario[\\\"retire_other_income\\\"]\\r\\n\\r\\n        # Compute tax now\\r\\n        taxable_income_traditional = max(0, wages - contribution - standard_deduction[filing])\\r\\n        tax_now_traditional = compute_tax(taxable_income_traditional, brackets[filing])\\r\\n\\r\\n        taxable_income_roth = max(0, wages - standard_deduction[filing])\\r\\n        tax_now_roth = compute_tax(taxable_income_roth, brackets[filing])\\r\\n\\r\\n        tax_saved_now = tax_now_roth - tax_now_traditional\\r\\n        marginal_rate_now = compute_marginal_rate(taxable_income_traditional, brackets[filing])\\r\\n\\r\\n        # Compute traditional balance and withdrawal tax\\r\\n        traditional_balance = contribution * (1 + growth) ** years\\r\\n        withdrawal_tax = (compute_tax(retire_other_income + traditional_balance, brackets[retire_filing]) - \\r\\n                          compute_tax(retire_other_income, brackets[retire_filing]))\\r\\n        traditional_after_tax = traditional_balance - withdrawal_tax\\r\\n\\r\\n        # Compute roth after tax\\r\\n        roth_after_tax = (contribution - tax_saved_now) * (1 + growth) ** years\\r\\n\\r\\n        # Determine the winner\\r\\n        if traditional_after_tax > roth_after_tax + 0.005:\\r\\n            winner = \\\"traditional\\\"\\r\\n        elif roth_after_tax > traditional_after_tax + 0.005:\\r\\n            winner = \\\"roth\\\"\\r\\n        else:\\r\\n            winner = \\\"tie\\\"\\r\\n\\r\\n        processed_scenarios.append({\\r\\n            \\\"name\\\": name,\\r\\n            \\\"tax_now_traditional\\\": round(tax_now_traditional, 2),\\r\\n            \\\"tax_now_roth\\\": round(tax_now_roth, 2),\\r\\n            \\\"tax_saved_now\\\": round(tax_saved_now, 2),\\r\\n            \\\"marginal_rate_now\\\": round(marginal_rate_now, 6),\\r\\n            \\\"traditional_balance\\\": round(traditional_balance, 2),\\r\\n            \\\"withdrawal_tax\\\": round(withdrawal_tax, 2),\\r\\n            \\\"traditional_after_tax\\\": round(traditional_after_tax, 2),\\r\\n            \\\"roth_after_tax\\\": round(roth_after_tax, 2),\\r\\n            \\\"winner\\\": winner\\r\\n        })\\r\\n    return processed_scenarios\\r\\n\\r\\ndef main():\\r\\n    if len(sys.argv) != 3:\\r\\n        print(\\\"Usage: python solve.py input.json answer.json\\\")\\r\\n        sys.exit(1)\\r\\n\\r\\n    with open(sys.argv[1], \\\"r\\\") as f:\\r\\n        data = json.load(f)\\r\\n\\r\\n    brackets = data[\\\"brackets\\\"]\\r\\n    standard_deduction = data[\\\"standard_deduction\\\"]\\r\\n    tax_table_entries = data[\\\"tax_table\\\"]\\r\\n    scenarios = data[\\\"scenarios\\\"]\\r\\n\\r\\n    tax_table = process_tax_table(brackets, standard_deduction, tax_table_entries)\\r\\n    scenarios_result = process_scenarios(brackets, standard_deduction, scenarios)\\r\\n\\r\\n    answer = {\\r\\n        \\\"tax_table\\\": tax_table,\\r\\n        \\\"scenarios\\\": scenarios_result\\r\\n    }\\r\\n\\r\\n    with open(sys.argv[2], \\\"w\\\") as f:\\r\\n        json.dump(answer, f, indent=4)\\r\\n\\r\\nif __name__ == \\\"__main__\\\":\\r\\n    main()\"}"
          }
         }
        ]
       },
       "finish_reason": "tool_calls",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 2058,
      "completion_tokens": 1441,
      "total_tokens": 3499
     },
     "cost": {
      "usd": 0,
      "diem": 0.0005531875
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 2,
    "tool": "write_file",
    "args": {
     "path": "solve.py",
     "content": "import json\r\nimport sys\r\n\r\ndef compute_tax(income, brackets):\r\n    tax = 0.0\r\n    for i in range(len(brackets)):\r\n        lower_bound, rate = brackets[i]\r\n        if i == len(brackets) - 1:\r\n            taxable_amount = income - lower_bound\r\n        else:\r\n            next_lower_bound = brackets[i + 1][0]\r\n            taxable_amount = min(income - lower_bound, next_lower_bound - lower_bound)\r\n        if taxable_amount > 0:\r\n            tax += taxable_amount * rate\r\n    return tax\r\n\r\ndef compute_marginal_rate(income, brackets):\r\n    for i in range(len(brackets)):\r\n        lower_bound, _ = brackets[i]\r\n        if i == len(brackets) - 1 or (i < len(brackets) - 1 and income < brackets[i + 1][0]):\r\n            return brackets[i][1]\r\n    return 0.0\r\n\r\ndef process_tax_table(brackets, standard_deduction, tax_table_entries):\r\n    tax_table = []\r\n    for filing, income in tax_table_entries:\r\n        taxable_income = max(0, income - standard_deduction[filing])\r\n        tax = compute_tax(taxable_income, brackets[filing])\r\n        effective_rate = tax / income if income != 0 else 0.0\r\n        marginal_rate = compute_marginal_rate(taxable_income, brackets[filing])\r\n        tax_table.append({\r\n            \"filing\": filing,\r\n            \"income\": income,\r\n            \"tax\": round(tax, 2),\r\n            \"effective_rate\": round(effective_rate, 6),\r\n            \"marginal_rate\": round(marginal_rate, 6)\r\n        })\r\n    return tax_table\r\n\r\ndef process_scenarios(brackets, standard_deduction, scenarios):\r\n    processed_scenarios = []\r\n    for scenario in scenarios:\r\n        name = scenario[\"name\"]\r\n        filing = scenario[\"filing\"]\r\n        wages = scenario[\"wages\"]\r\n        contribution = scenario[\"contribution\"]\r\n        years = scenario[\"years\"]\r\n        growth = scenario[\"growth\"]\r\n        retire_filing = scenario[\"retire_filing\"]\r\n        retire_other_income = scenario[\"retire_other_income\"]\r\n\r\n        # Compute tax now\r\n        taxable_income_traditional = max(0, wages - contribution - standard_deduction[filing])\r\n        tax_now_traditional = compute_tax(taxable_income_traditional, brackets[filing])\r\n\r\n        taxable_income_roth = max(0, wages - standard_deduction[filing])\r\n        tax_now_roth = compute_tax(taxable_income_roth, brackets[filing])\r\n\r\n        tax_saved_now = tax_now_roth - tax_now_traditional\r\n        marginal_rate_now = compute_marginal_rate(taxable_income_traditional, brackets[filing])\r\n\r\n        # Compute traditional balance and withdrawal tax\r\n        traditional_balance = contribution * (1 + growth) ** years\r\n        withdrawal_tax = (compute_tax(retire_other_income + traditional_balance, brackets[retire_filing]) - \r\n                          compute_tax(retire_other_income, brackets[retire_filing]))\r\n        traditional_after_tax = traditional_balance - withdrawal_tax\r\n\r\n        # Compute roth after tax\r\n        roth_after_tax = (contribution - tax_saved_now) * (1 + growth) ** years\r\n\r\n        # Determine the winner\r\n        if traditional_after_tax > roth_after_tax + 0.005:\r\n            winner = \"traditional\"\r\n        elif roth_after_tax > traditional_after_tax + 0.005:\r\n            winner = \"roth\"\r\n        else:\r\n            winner = \"tie\"\r\n\r\n        processed_scenarios.append({\r\n            \"name\": name,\r\n            \"tax_now_traditional\": round(tax_now_traditional, 2),\r\n            \"tax_now_roth\": round(tax_now_roth, 2),\r\n            \"tax_saved_now\": round(tax_saved_now, 2),\r\n            \"marginal_rate_now\": round(marginal_rate_now, 6),\r\n            \"traditional_balance\": round(traditional_balance, 2),\r\n            \"withdrawal_tax\": round(withdrawal_tax, 2),\r\n            \"traditional_after_tax\": round(traditional_after_tax, 2),\r\n            \"roth_after_tax\": round(roth_after_tax, 2),\r\n            \"winner\": winner\r\n        })\r\n    return processed_scenarios\r\n\r\ndef main():\r\n    if len(sys.argv) != 3:\r\n        print(\"Usage: python solve.py input.json answer.json\")\r\n        sys.exit(1)\r\n\r\n    with open(sys.argv[1], \"r\") as f:\r\n        data = json.load(f)\r\n\r\n    brackets = data[\"brackets\"]\r\n    standard_deduction = data[\"standard_deduction\"]\r\n    tax_table_entries = data[\"tax_table\"]\r\n    scenarios = data[\"scenarios\"]\r\n\r\n    tax_table = process_tax_table(brackets, standard_deduction, tax_table_entries)\r\n    scenarios_result = process_scenarios(brackets, standard_deduction, scenarios)\r\n\r\n    answer = {\r\n        \"tax_table\": tax_table,\r\n        \"scenarios\": scenarios_result\r\n    }\r\n\r\n    with open(sys.argv[2], \"w\") as f:\r\n        json.dump(answer, f, indent=4)\r\n\r\nif __name__ == \"__main__\":\r\n    main()"
    },
    "result": "wrote 4590 chars"
   },
   {
    "turn": 3,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-RNbnXO1sBNOh0fgZwmdh4LUw",
     "object": "chat.completion",
     "created": 1792974920,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": null,
        "name": null,
        "tool_calls": [
         {
          "id": "Kfgco62sv",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python solve.py input.json answer.json\"}"
          }
         }
        ]
       },
       "finish_reason": "tool_calls",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 3523,
      "completion_tokens": 18,
      "total_tokens": 3541
     },
     "cost": {
      "usd": 0,
      "diem": 0.00033478125
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 3,
    "tool": "run_shell",
    "args": {
     "command": "python solve.py input.json answer.json"
    },
    "result": "exit=127\nstdout:\n\nstderr:\nbash: line 1: python: command not found\n"
   },
   {
    "turn": 4,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-RrHXazCL9wwW6dYrGvAPMjK1",
     "object": "chat.completion",
     "created": 1792974920,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": null,
        "name": null,
        "tool_calls": [
         {
          "id": "cQC9BEI3k",
          "type": "function",
          "function": {
           "name": "run_shell",
           "arguments": "{\"command\": \"python3 solve.py input.json answer.json\"}"
          }
         }
        ]
       },
       "finish_reason": "tool_calls",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 3581,
      "completion_tokens": 19,
      "total_tokens": 3600
     },
     "cost": {
      "usd": 0,
      "diem": 0.00034046875
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 4,
    "tool": "run_shell",
    "args": {
     "command": "python3 solve.py input.json answer.json"
    },
    "result": "exit=0\nstdout:\n\nstderr:\n"
   },
   {
    "turn": 5,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-REVHj7oVGyU66wHYWXZQnJZS",
     "object": "chat.completion",
     "created": 1792974921,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "",
        "reasoning_content": null,
        "name": null,
        "tool_calls": [
         {
          "id": "SIfCbDxZd",
          "type": "function",
          "function": {
           "name": "read_file",
           "arguments": "{\"path\": \"answer.json\"}"
          }
         }
        ]
       },
       "finish_reason": "tool_calls",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 3630,
      "completion_tokens": 12,
      "total_tokens": 3642
     },
     "cost": {
      "usd": 0,
      "diem": 0.00034331250000000003
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   },
   {
    "turn": 5,
    "tool": "read_file",
    "args": {
     "path": "answer.json"
    },
    "result": "{\n    \"tax_table\": [\n        {\n            \"filing\": \"joint\",\n            \"income\": 0,\n            \"tax\": 0.0,\n            \"effective_rate\": 0.0,\n            \"marginal_rate\": 0.08\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 15600,\n            \"tax\": 0.0,\n            \"effective_rate\": 0.0,\n            \"marginal_rate\": 0.08\n        },\n        {\n            \"filing\": \"single\",\n            \"income\": 28080,\n            \"tax\": 998.4,\n            \"effective_rate\": 0.035556,\n            \"marginal_rate\": 0.14\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 65520,\n            \"tax\": 3307.2,\n            \"effective_rate\": 0.050476,\n            \"marginal_rate\": 0.14\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 683000,\n            \"tax\": 172707.6,\n            \"effective_rate\": 0.252866,\n            \"marginal_rate\": 0.39\n        },\n        {\n            \"filing\": \"single\",\n            \"income\": 669000,\n            \"tax\": 201598.8,\n            \"effective_rate\": 0.301343,\n            \"marginal_rate\": 0.39\n        },\n        {\n            \"filing\": \"single\",\n            \"income\": 295000,\n            \"tax\": 68926.8,\n            \"effective_rate\": 0.23365,\n            \"marginal_rate\": 0.33\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 144000,\n            \"tax\": 15201.6,\n            \"effective_rate\": 0.105567,\n            \"marginal_rate\": 0.21\n        },\n        {\n            \"filing\": \"single\",\n            \"income\": 92000,\n            \"tax\": 11800.8,\n            \"effective_rate\": 0.12827,\n            \"marginal_rate\": 0.21\n        },\n        {\n            \"filing\": \"head\",\n            \"income\": 603000,\n            \"tax\": 156355.2,\n            \"effective_rate\": 0.259296,\n            \"marginal_rate\": 0.33\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 51000,\n            \"tax\": 1584.0,\n            \"effective_rate\": 0.031059,\n            \"marginal_rate\": 0.08\n        },\n        {\n            \"filing\": \"joint\",\n            \"income\": 714000,\n            \"tax\": 184797.6,\n            \"effective_rate\": 0.25882,\n            \"marginal_rate\": 0.39\n        }\n    ],\n    \"scenarios\": [\n        {\n            \"name\": \"S1\",\n            \"tax_now_traditional\": 79156.8,\n            \"tax_now_roth\": 86746.8,\n            \"tax_saved_now\": 7590.0,\n            \"marginal_rate_now\": 0.33,\n            \"traditional_balance\": 43144.89,\n            \"withdrawal_tax\": 6061.63,\n            \"traditional_after_tax\": 37083.26,\n            \"roth_after_tax\": 28907.08,\n            \"winner\": \"traditional\"\n        },\n        {\n            \"name\": \"S2\",\n            \"tax_now_traditional\": 97306.8,\n            \"tax_now_roth\": 101266.8,\n            \"tax_saved_now\": 3960.0,\n            \"marginal_rate_now\": 0.33,\n            \"traditional_balance\": 33037.25,\n            \"withdrawal_tax\": 5546.22,\n            \"traditional_after_tax\": 27491.03,\n            \"roth_after_tax\": 22134.96"
   },
   {
    "turn": 6,
    "response": {
     "service_tier": "default",
     "id": "chatcmpl-R5qzt04SM9SmlKVWXJVpRxNW",
     "object": "chat.completion",
     "created": 1792974923,
     "model": "mistral-small-3-2-24b-instruct",
     "choices": [
      {
       "index": 0,
       "message": {
        "role": "assistant",
        "content": "The task is now complete. I have created the `solve.py` script, executed it to generate the `answer.json` file, and verified the contents of the output.",
        "reasoning_content": null,
        "name": null,
        "tool_calls": []
       },
       "finish_reason": "stop",
       "logprobs": null
      }
     ],
     "usage": {
      "prompt_tokens": 5143,
      "completion_tokens": 37,
      "total_tokens": 5180
     },
     "cost": {
      "usd": 0,
      "diem": 0.00049140625
     },
     "venice_parameters": {
      "strip_thinking_response": false,
      "disable_thinking": false,
      "enable_e2ee": true,
      "enable_web_search": "off",
      "enable_web_scraping": false,
      "enable_web_citations": false,
      "include_search_results_in_stream": false,
      "include_venice_system_prompt": false,
      "enable_x_search": false,
      "web_search_citations": [],
      "return_search_results_as_documents": false
     }
    }
   }
  ]
 }
]

Get new runs and ranking changes weekly