Grok 4.3 (Venice) on Implement 5 Python functions from a task list
XGrok 4.3 (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener
- Cost
- $0.0084
- Wall time
- 11s
- Human step-ins
- 0
- Outcome
- Pass
Compare with other models on this task →
Summary
Exact prompt
Read tasks/TASKS.md and implement all 5 functions in ./solution.py in the current directory. Python 3 stdlib only.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): Read tasks/TASKS.md and implement all 5 functions in ./solution.py in the current directory. Python 3 stdlib only. Inspired by https://x.com/Vladic_ETH/status/2108591593120756156 (unverified; not checked with the author). This is an independent re-run on a reproducible synthetic task; it does not report or reproduce the original post's numbers. Cost is real Venice spend (paid from DIEM credit), as reported by Venice.
Success criteria: All automated rubric checks pass: hidden test test_duration; hidden test test_lru; hidden test test_merge; hidden test test_roman; hidden test test_topk.
Setup notes: Harness: venice-mini-agent v1.2 via Venice OpenAI-compatible API. Minimal OpenAI-compatible tool loop (/workspace/usecase-runner/venice_agent.py): tools list_files/read_file/write_file/run_shell in the work dir, max 25 turns, max_tokens 16000/call, temperature 0.2, Venice system prompt and web search off, $0.08 per-run cost cap. Identical for all Venice models. Cost source: Venice /api/v1/models model_spec.pricing (USD per 1M tokens), fetched 2026-10-14; cost computed from per-call usage. Paid from Bob's DIEM daily allowance. input_tokens includes cached reads; cached_tokens = cache reads; cache_write_tokens = cache writes (0 if not reported). Single run, no retries; scored automatically (5/5 checks). Runner notes: Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Metrics
- Cost
- $0.0084
- Wall time
- 11s
- Human step-ins
- 0
- Turns
- 5
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| XGrok 4.3 (Venice)venice/grok-4-3 | 5,102 | 929 | $0.0084 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Grok 4.3 (Venice) (venice/grok-4-3) via
venice-mini-agent v1.2, cloud. - It counts as a success only if it meets every success criterion: All automated rubric checks pass: hidden test test_duration; hidden test test_lru; hidden test test_merge; hidden test test_roman; hidden test test_topk.
- 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
{"turn": 1, "response": {"id": "c92718de-5562-918b-ab13-4cc60a9417f1", "object": "chat.completion", "created": 1792023595, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 547 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_c92718de-5562-918b-ab13-4cc60a9417f1", "data": "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"}], "tool_calls": [{"id": "call-6a8db1f5-d458-4f66-b1d1-56fae6c44982-0", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"tasks/TASKS.md\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 509, "completion_tokens": 98, "total_tokens": 607, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 84}}, "cost": {"usd": 0, "diem": 0.0008478}, "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": "tasks/TASKS.md"}, "result": "Implement these 5 functions in solution.py (Python 3 stdlib only):\n1. roman_to_int(s: str) -> int \u2014 convert a valid Roman numeral (I..MMMCMXCIX) to int.\n2. merge_intervals(iv: list[list[int]]) -> list[list[int]] \u2014 merge overlapping/touching closed intervals, return sorted.\n3. lru_cache_sim(capacity: int, ops: list[tuple]) -> list \u2014 simulate an LRU cache. ops are (\"put\", k, v) or (\"get\", k); return the results of each get in order (-1 if missing).\n4. top_k_words(text: str, k: int) -> list[str] \u2014 k most frequent words, case-insensitive, words are [a-z']+ runs; ties broken alphabetically.\n5. parse_duration(s: str) -> int \u2014 parse strings like \"1h30m\", \"45s\", \"2h\", \"1h2m3s\", \"90m\" into total seconds; raise ValueError for invalid input such as \"\", \"h\", \"1x\", \"1h1h\".\nWrite your own quick tests if you like, then finish.\n"}
{"turn": 2, "response": {"id": "dcfdb680-b3b2-915d-8f98-b111928e30c1", "object": "chat.completion", "created": 1792023596, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 213 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_dcfdb680-b3b2-915d-8f98-b111928e30c1", "data": "G0R/SzW/k/fPmowKs58ybMsHjkldv7yyIBiMEfJnDTyNgV2y/DVOFGxj76JBlB/39AAsxXtyp5Nn4dbtbtgnLhUzIfrY3ycMTh56ph1YkemuuNWXgSxWEgtwmLCzDLZyfw91qLuag6I8E3ialNKVDoLqU9CrVRYt4DymLSXoyLJIT/919PfKwZmkPMBs8w"}], "tool_calls": [{"id": "call-f6ed2dab-4c7d-4299-92e9-2a8fbae41277-1", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\":\"solution.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 771, "completion_tokens": 37, "total_tokens": 808, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 26}}, "cost": {"usd": 0, "diem": 0.00104721}, "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": "read_file", "args": {"path": "solution.py"}, "result": "ERROR: [Errno 2] No such file or directory: 'solution.py'"}
{"turn": 3, "response": {"id": "1d1afa76-31ee-9948-8fe1-f73881fd6fef", "object": "chat.completion", "created": 1792023597, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "The file does not exist yet. I need to create it.\n\n[encrypted reasoning omitted, 123 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_1d1afa76-31ee-9948-8fe1-f73881fd6fef", "data": "WDirpsxC+mjVQid/PkCbNz/fb6YHNKdYfOWbJho02lPwo51U6BJX87rdV7R9WP6JpkNohi8fpp5eHmzFkbx5sERxL7m3+/qzOf5X"}], "tool_calls": [{"id": "call-ee630bb2-1eaa-4018-bb02-e1dc5eed81cd-2", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\":\"solution.py\",\"content\":\"import re\\nfrom collections import defaultdict, OrderedDict\\n\\ndef roman_to_int(s: str) -> int:\\n roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}\\n total = 0\\n prev = 0\\n for char in reversed(s):\\n val = roman[char]\\n if val < prev:\\n total -= val\\n else:\\n total += val\\n prev = val\\n return total\\n\\ndef merge_intervals(iv):\\n if not iv:\\n return []\\n sorted_iv = sorted(iv)\\n merged = [sorted_iv[0]]\\n for current in sorted_iv[1:]:\\n last = merged[-1]\\n if current[0] <= last[1]:\\n merged[-1] = [last[0], max(last[1], current[1])]\\n else:\\n merged.append(current)\\n return merged\\n\\ndef lru_cache_sim(capacity, ops):\\n cache = OrderedDict()\\n results = []\\n for op in ops:\\n if op[0] == \\\"put\\\":\\n k, v = op[1], op[2]\\n if k in cache:\\n cache.move_to_end(k)\\n cache[k] = v\\n if len(cache) > capacity:\\n cache.popitem(last=False)\\n elif op[0] == \\\"get\\\":\\n k = op[1]\\n if k in cache:\\n cache.move_to_end(k)\\n results.append(cache[k])\\n else:\\n results.append(-1)\\n return results\\n\\ndef top_k_words(text, k):\\n words = re.findall(r\\\"[a-z']+\\\", text.lower())\\n freq = defaultdict(int)\\n for w in words:\\n freq[w] += 1\\n sorted_words = sorted(freq.items(), key=lambda x: (-x[1], x[0]))\\n return [w for w, _ in sorted_words[:k]]\\n\\ndef parse_duration(s):\\n if not s or not re.match(r'^(\\\\d+[hms])+$', s):\\n raise ValueError(\\\"invalid\\\")\\n total = 0\\n matches = re.findall(r'(\\\\d+)([hms])', s)\\n seen = set()\\n for num, unit in matches:\\n if unit in seen:\\n raise ValueError(\\\"invalid\\\")\\n seen.add(unit)\\n val = int(num)\\n if unit == 'h':\\n total += val * 3600\\n elif unit == 'm':\\n total += val * 60\\n elif unit == 's':\\n total += val\\n if not matches:\\n raise ValueError(\\\"invalid\\\")\\n return total\\n\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 805, "completion_tokens": 600, "total_tokens": 1405, "prompt_tokens_details": {"cached_tokens": 768}, "cache_read_input_tokens": 768, "completion_tokens_details": {"reasoning_tokens": 12}}, "cost": {"usd": 0, "diem": 0.0019271800000000001}, "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": "write_file", "args": {"path": "solution.py", "content": "import re\nfrom collections import defaultdict, OrderedDict\n\ndef roman_to_int(s: str) -> int:\n roman = {'I': 1, 'V': 5, 'X': 10, 'L': 50, 'C': 100, 'D': 500, 'M': 1000}\n total = 0\n prev = 0\n for char in reversed(s):\n val = roman[char]\n if val < prev:\n total -= val\n else:\n total += val\n prev = val\n return total\n\ndef merge_intervals(iv):\n if not iv:\n return []\n sorted_iv = sorted(iv)\n merged = [sorted_iv[0]]\n for current in sorted_iv[1:]:\n last = merged[-1]\n if current[0] <= last[1]:\n merged[-1] = [last[0], max(last[1], current[1])]\n else:\n merged.append(current)\n return merged\n\ndef lru_cache_sim(capacity, ops):\n cache = OrderedDict()\n results = []\n for op in ops:\n if op[0] == \"put\":\n k, v = op[1], op[2]\n if k in cache:\n cache.move_to_end(k)\n cache[k] = v\n if len(cache) > capacity:\n cache.popitem(last=False)\n elif op[0] == \"get\":\n k = op[1]\n if k in cache:\n cache.move_to_end(k)\n results.append(cache[k])\n else:\n results.append(-1)\n return results\n\ndef top_k_words(text, k):\n words = re.findall(r\"[a-z']+\", text.lower())\n freq = defaultdict(int)\n for w in words:\n freq[w] += 1\n sorted_words = sorted(freq.items(), key=lambda x: (-x[1], x[0]))\n return [w for w, _ in sorted_words[:k]]\n\ndef parse_duration(s):\n if not s or not re.match(r'^(\\d+[hms])+$', s):\n raise ValueError(\"invalid\")\n total = 0\n matches = re.findall(r'(\\d+)([hms])', s)\n seen = set()\n for num, unit in matches:\n if unit in seen:\n raise ValueError(\"invalid\")\n seen.add(unit)\n val = int(num)\n if unit == 'h':\n total += val * 3600\n elif unit == 'm':\n total += val * 60\n elif unit == 's':\n total += val\n if not matches:\n raise ValueError(\"invalid\")\n return total\n"}, "result": "wrote 2087 chars"}
{"turn": 4, "response": {"id": "aff055d5-7304-9e78-b052-4e59a6b814e6", "object": "chat.completion", "created": 1792023602, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": null, "refusal": null, "reasoning_content": "The file has been created. Now I will test it to verify functionality.\n\n[encrypted reasoning omitted, 146 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_aff055d5-7304-9e78-b052-4e59a6b814e6", "data": "Q0IXUlzynyQ4rf9QosKmxPBiaEzf0YwzJMC3YS9Lisu2ScOdfOR4AvtXNezXwxgbHs/TLtqaCYpBFHfPsKRCrBY+Zu1sLTor6XMtox85Taa5FZO31r2E1St3BxI"}], "tool_calls": [{"id": "call-2d65c24d-6539-48c8-8c9c-eac6b76cc82b-3", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\":\"python3 -c '\\nfrom solution import *\\nprint(roman_to_int(\\\"III\\\"))\\nprint(roman_to_int(\\\"MCMXCIV\\\"))\\nprint(merge_intervals([[1,3],[2,6],[8,10],[15,18]]))\\nprint(lru_cache_sim(2, [(\\\"put\\\",1,1),(\\\"put\\\",2,2),(\\\"get\\\",1),(\\\"put\\\",3,3),(\\\"get\\\",2)]))\\nprint(top_k_words(\\\"a b a c b a\\\", 2))\\nprint(parse_duration(\\\"1h30m\\\"))\\nprint(parse_duration(\\\"45s\\\"))\\ntry:\\n print(parse_duration(\\\"\\\"))\\nexcept ValueError as e:\\n print(\\\"caught\\\", e)\\n'\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1404, "completion_tokens": 169, "total_tokens": 1573, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 16}}, "cost": {"usd": 0, "diem": 0.00231963}, "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 -c '\nfrom solution import *\nprint(roman_to_int(\"III\"))\nprint(roman_to_int(\"MCMXCIV\"))\nprint(merge_intervals([[1,3],[2,6],[8,10],[15,18]]))\nprint(lru_cache_sim(2, [(\"put\",1,1),(\"put\",2,2),(\"get\",1),(\"put\",3,3),(\"get\",2)]))\nprint(top_k_words(\"a b a c b a\", 2))\nprint(parse_duration(\"1h30m\"))\nprint(parse_duration(\"45s\"))\ntry:\n print(parse_duration(\"\"))\nexcept ValueError as e:\n print(\"caught\", e)\n'"}, "result": "exit=0\nstdout:\n3\n1994\n[[1, 6], [8, 10], [15, 18]]\n[1, -1]\n['a', 'b']\n5400\n45\ncaught invalid\n\nstderr:\n"}
{"turn": 5, "response": {"id": "3f2cc5ed-bb23-9ca8-a82f-3cfe716a66f1", "object": "chat.completion", "created": 1792023604, "model": "grok-4-3", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Implemented all 5 functions in solution.py (verified via quick tests).", "refusal": null, "reasoning_content": "[encrypted reasoning omitted, 143 chars]", "reasoning_encrypted": true, "reasoning_details": [{"type": "reasoning.encrypted", "format": "xai-responses-v1", "index": 0, "id": "rs_3f2cc5ed-bb23-9ca8-a82f-3cfe716a66f1", "data": "/AK/pbpdd2e7joE041Yh09gLCH9qIkmIWDq5/81nyXC+35CroXF0qljYMaJHDOJsXoZnapF0J93AXpKuXYOJ3zH6vlu5Qrp+FjJLPW0PG5GGhCO6LHP/qgaS"}]}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1613, "completion_tokens": 25, "total_tokens": 1638, "prompt_tokens_details": {"cached_tokens": 128}, "cache_read_input_tokens": 128, "completion_tokens_details": {"reasoning_tokens": 11}}, "cost": {"usd": 0, "diem": 0.00220889}, "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}}}