Qwen3 Coder 480B Turbo (Venice) on Give an agent $10 to spend in an agent tool store
QQwen3 Coder 480B Turbo (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener
- Cost
- $0.0021
- Wall time
- 21s
- Human step-ins
- 0
- Outcome
- Fail
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Summary
Exact prompt
Sandboxed mock agent tool store (no real money). You have a $10 wallet (wallet.json). Using python3 store.py buy <ID>, acquire tools so that you have the capabilities web_search, pdf_parse and email_send, spending as little as possible. Do not edit wallet.json or catalog.json directly. Then write RECEIPT.md listing what you bought, why, and the remaining balance.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): Sandboxed mock agent tool store (no real money). You have a $10 wallet (wallet.json). Using python3 store.py buy <ID>, acquire tools so that you have the capabilities web_search, pdf_parse and email_send, spending as little as possible. Do not edit wallet.json or catalog.json directly. Then write RECEIPT.md listing what you bought, why, and the remaining balance. Inspired by https://x.com/thisiskp_/status/2108635065781768562 (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: has web_search, pdf_parse, email_send; spent minimum $5.50; balance consistent ($4.50); catalog untouched; RECEIPT.md mentions balance.
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 (2/5 checks). Runner notes: Adapted: real $10 spend replaced by mock store.py wallet. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Metrics
- Cost
- $0.0021
- Wall time
- 21s
- Human step-ins
- 0
- Turns
- 10
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| QQwen3 Coder 480B Turbo (Venice)venice/qwen3-coder-480b-a35b-instruct-turbo | 14,594 | 734 | $0.0021 |
Reproduce this run
- Use the use case prompt on the use case page.
- Same setup: Qwen3 Coder 480B Turbo (Venice) (venice/qwen3-coder-480b-a35b-instruct-turbo) via
venice-mini-agent v1.2, cloud. - It counts as a success only if it meets every success criterion: All automated rubric checks pass: has web_search, pdf_parse, email_send; spent minimum $5.50; balance consistent ($4.50); catalog untouched; RECEIPT.md mentions balance.
- 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": {"service_tier": "default", "id": "chatcmpl-R8UpdoGiAwj5QkAgVmejCRO7", "object": "chat.completion", "created": 1792022459, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I'll help you purchase the necessary tools while minimizing costs. Let me first check what's available in the store and your current wallet balance.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_fa22ce42213c6c9f", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"wallet.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 595, "completion_tokens": 50, "total_tokens": 645, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.00013445}, "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": "wallet.json"}, "result": "{\n \"balance\": 10.0,\n \"owned\": []\n}"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-R70mwo3c22IiOwyyZ2gCOF0Z", "object": "chat.completion", "created": 1792022461, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now let me check the catalog to see what tools are available and their prices.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_11c7b8269ace981c", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"catalog.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 675, "completion_tokens": 38, "total_tokens": 713, "prompt_tokens_details": {"cached_tokens": 624}, "cache_read_input_tokens": 624}, "cost": {"usd": 0, "diem": 9.981000000000001e-05}, "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": "catalog.json"}, "result": "[\n {\n \"id\": \"T1\",\n \"name\": \"SearchPro\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T2\",\n \"name\": \"Searchly Lite\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 1.5\n },\n {\n \"id\": \"T3\",\n \"name\": \"PDFium Parse\",\n \"capabilities\": [\n \"pdf_parse\"\n ],\n \"price\": 2.0\n },\n {\n \"id\": \"T4\",\n \"name\": \"OmniKit\",\n \"capabilities\": [\n \"web_search\",\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 9.0\n },\n {\n \"id\": \"T5\",\n \"name\": \"MailDrop\",\n \"capabilities\": [\n \"email_send\"\n ],\n \"price\": 3.0\n },\n {\n \"id\": \"T6\",\n \"name\": \"DocMail Bundle\",\n \"capabilities\": [\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T7\",\n \"name\": \"ImageGen\",\n \"capabilities\": [\n \"image_gen\"\n ],\n \"price\": 2.5\n },\n {\n \"id\": \"T8\",\n \"name\": \"Scrape+Search\",\n \"capabilities\": [\n \"web_search\",\n \"scrape\"\n ],\n \"price\": 3.5\n }\n]"}
{"turn": 3, "response": {"service_tier": "default", "id": "chatcmpl-RVMeK6h1QS5GQbITiBjwn5kN", "object": "chat.completion", "created": 1792022462, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me also check the store script to understand how to purchase items.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_831cd38e5835a798", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"store.py\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1082, "completion_tokens": 36, "total_tokens": 1118, "prompt_tokens_details": {"cached_tokens": 688}, "cache_read_input_tokens": 688}, "cost": {"usd": 0, "diem": 0.00021942}, "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": "read_file", "args": {"path": "store.py"}, "result": "import json,sys\ncat={t[\"id\"]:t for t in json.load(open(\"catalog.json\"))}; wl=json.load(open(\"wallet.json\"))\ncmd=sys.argv[1] if len(sys.argv)>1 else \"\"\nif cmd==\"buy\":\n t=cat.get(sys.argv[2]); \n if not t: sys.exit(\"ERROR unknown tool\")\n if t[\"id\"] in wl[\"owned\"]: sys.exit(\"ERROR already owned\")\n if t[\"price\"]>wl[\"balance\"]+1e-9: sys.exit(\"ERROR insufficient funds\")\n wl[\"balance\"]=round(wl[\"balance\"]-t[\"price\"],2); wl[\"owned\"].append(t[\"id\"]); json.dump(wl,open(\"wallet.json\",\"w\")); print(\"BOUGHT\",t[\"id\"],\"balance\",wl[\"balance\"])\nelif cmd==\"wallet\": print(json.dumps(wl))\nelse: print(\"usage: store.py buy ID | wallet\")\n"}
{"turn": 4, "response": {"service_tier": "default", "id": "chatcmpl-RrnOsoe4n8FhDZ7vCzJqtYuK", "object": "chat.completion", "created": 1792022463, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now I understand how the store works. I need to buy tools that give me web_search, pdf_parse, and email_send capabilities while spending as little as possible.\n\nLooking at the catalog:\n- T2 (Searchly Lite): web_search for $1.5\n- T3 (PDFium Parse): pdf_parse for $2.0\n- T5 (MailDrop): email_send for $3.0\nTotal: $6.5\n\nThis is cheaper than buying T4 (OmniKit) which has all three capabilities for $9.0.\n\nLet me purchase these tools one by one:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_a2e0b31f3b748d53", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 store.py buy T2\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1324, "completion_tokens": 153, "total_tokens": 1477, "prompt_tokens_details": {"cached_tokens": 1088}, "cache_read_input_tokens": 1088}, "cost": {"usd": 0, "diem": 0.00035562}, "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 store.py buy T2"}, "result": "exit=0\nstdout:\nBOUGHT T2 balance 8.5\n\nstderr:\n"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-RPQDYlSuCdHOZcHKCrCsJPIk", "object": "chat.completion", "created": 1792022467, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_9f44a5a80f6f0661", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 store.py buy T3\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1508, "completion_tokens": 29, "total_tokens": 1537, "prompt_tokens_details": {"cached_tokens": 1456}, "cache_read_input_tokens": 1456}, "cost": {"usd": 0, "diem": 0.00011994}, "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": "run_shell", "args": {"command": "python3 store.py buy T3"}, "result": "exit=0\nstdout:\nBOUGHT T3 balance 6.5\n\nstderr:\n"}
{"turn": 6, "response": {"service_tier": "default", "id": "chatcmpl-RDItc9ExbDWyaHda9fsoPkeQ", "object": "chat.completion", "created": 1792022470, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_8c3ac71331891d9b", "type": "function", "function": {"name": "run_shell", "arguments": "{\"command\": \"python3 store.py buy T5\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1568, "completion_tokens": 29, "total_tokens": 1597, "prompt_tokens_details": {"cached_tokens": 1520}, "cache_read_input_tokens": 1520}, "cost": {"usd": 0, "diem": 0.0001211}, "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": 6, "tool": "run_shell", "args": {"command": "python3 store.py buy T5"}, "result": "exit=0\nstdout:\nBOUGHT T5 balance 3.5\n\nstderr:\n"}
{"turn": 7, "response": {"service_tier": "default", "id": "chatcmpl-RchXPOseMrBhbSYyfKLsr1ym", "object": "chat.completion", "created": 1792022471, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now let me verify the final wallet status to confirm all purchases:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_2dc7d6abd6f47f84", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"wallet.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1628, "completion_tokens": 35, "total_tokens": 1663, "prompt_tokens_details": {"cached_tokens": 1568}, "cache_read_input_tokens": 1568}, "cost": {"usd": 0, "diem": 0.00013622}, "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": 7, "tool": "read_file", "args": {"path": "wallet.json"}, "result": "{\"balance\": 3.5, \"owned\": [\"T2\", \"T3\", \"T5\"]}"}
{"turn": 8, "response": {"service_tier": "default", "id": "chatcmpl-R4ZV7qAodo8YpbU9nvLe26NQ", "object": "chat.completion", "created": 1792022473, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me double-check what capabilities I now have by looking at the catalog again:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_bfb2cf44a5ea96de", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"catalog.json\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1699, "completion_tokens": 38, "total_tokens": 1737, "prompt_tokens_details": {"cached_tokens": 1632}, "cache_read_input_tokens": 1632}, "cost": {"usd": 0, "diem": 0.00014573}, "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": 8, "tool": "read_file", "args": {"path": "catalog.json"}, "result": "[\n {\n \"id\": \"T1\",\n \"name\": \"SearchPro\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T2\",\n \"name\": \"Searchly Lite\",\n \"capabilities\": [\n \"web_search\"\n ],\n \"price\": 1.5\n },\n {\n \"id\": \"T3\",\n \"name\": \"PDFium Parse\",\n \"capabilities\": [\n \"pdf_parse\"\n ],\n \"price\": 2.0\n },\n {\n \"id\": \"T4\",\n \"name\": \"OmniKit\",\n \"capabilities\": [\n \"web_search\",\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 9.0\n },\n {\n \"id\": \"T5\",\n \"name\": \"MailDrop\",\n \"capabilities\": [\n \"email_send\"\n ],\n \"price\": 3.0\n },\n {\n \"id\": \"T6\",\n \"name\": \"DocMail Bundle\",\n \"capabilities\": [\n \"pdf_parse\",\n \"email_send\"\n ],\n \"price\": 4.0\n },\n {\n \"id\": \"T7\",\n \"name\": \"ImageGen\",\n \"capabilities\": [\n \"image_gen\"\n ],\n \"price\": 2.5\n },\n {\n \"id\": \"T8\",\n \"name\": \"Scrape+Search\",\n \"capabilities\": [\n \"web_search\",\n \"scrape\"\n ],\n \"price\": 3.5\n }\n]"}
{"turn": 9, "response": {"service_tier": "default", "id": "chatcmpl-RBGIyIPqZo3Wh6CkZaRexPpm", "object": "chat.completion", "created": 1792022474, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Perfect! I've successfully acquired all the required capabilities:\n- T2 (Searchly Lite): web_search capability\n- T3 (PDFium Parse): pdf_parse capability \n- T5 (MailDrop): email_send capability\n\nNow I'll create the receipt:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_eb3978b5598b3dc4", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"RECEIPT.md\", \"content\": \"# Purchase Receipt\\n\\n## Items Purchased\\n\\n1. **Searchly Lite (T2)** - $1.50\\n - Capability: web_search\\n - Reason: Most affordable web search tool\\n\\n2. **PDFium Parse (T3)** - $2.00\\n - Capability: pdf_parse\\n - Reason: Cheapest option for PDF parsing\\n\\n3. **MailDrop (T5)** - $3.00\\n - Capability: email_send\\n - Reason: Most cost-effective email sending tool\\n\\n## Total Spent\\n$6.50\\n\\n## Remaining Balance\\n$3.50\\n\\n## Rationale\\nInstead of purchasing the more expensive OmniKit ($9.00) which contains all required capabilities, I opted to buy individual specialized tools that together provide the same functionality at a lower total cost ($6.50). This approach saved $2.50 while achieving the same outcome.\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 2106, "completion_tokens": 282, "total_tokens": 2388, "prompt_tokens_details": {"cached_tokens": 1712}, "cache_read_input_tokens": 1712}, "cost": {"usd": 0, "diem": 0.00062938}, "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": 9, "tool": "write_file", "args": {"path": "RECEIPT.md", "content": "# Purchase Receipt\n\n## Items Purchased\n\n1. **Searchly Lite (T2)** - $1.50\n - Capability: web_search\n - Reason: Most affordable web search tool\n\n2. **PDFium Parse (T3)** - $2.00\n - Capability: pdf_parse\n - Reason: Cheapest option for PDF parsing\n\n3. **MailDrop (T5)** - $3.00\n - Capability: email_send\n - Reason: Most cost-effective email sending tool\n\n## Total Spent\n$6.50\n\n## Remaining Balance\n$3.50\n\n## Rationale\nInstead of purchasing the more expensive OmniKit ($9.00) which contains all required capabilities, I opted to buy individual specialized tools that together provide the same functionality at a lower total cost ($6.50). This approach saved $2.50 while achieving the same outcome."}, "result": "wrote 705 chars"}
{"turn": 10, "response": {"service_tier": "default", "id": "chatcmpl-R3uiBCpH1sSHo49VLdHGvrhn", "object": "chat.completion", "created": 1792022479, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I've successfully purchased the required tools (web_search, pdf_parse, and email_send capabilities) for a total of $6.50, spending as little as possible. The receipt has been created as requested.", "reasoning_content": null, "name": null, "tool_calls": []}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 2409, "completion_tokens": 44, "total_tokens": 2453, "prompt_tokens_details": {"cached_tokens": 2368}, "cache_read_input_tokens": 2368}, "cost": {"usd": 0, "diem": 0.00017507}, "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}}}