Qwen3 Coder 480B Turbo (Venice) on Let agents run growth for a meeting-notetaker app
QQwen3 Coder 480B Turbo (Venice) · venice-mini-agent v1.2 · cloud · 2026-10-15 · by @bobsiopener
- Cost
- $0.0018
- Wall time
- 11s
- Human step-ins
- 0
- Outcome
- Partial
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Summary
Exact prompt
You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget.
Task prompt given to the agent (headless, offline, synthetic fixture inputs): You are the growth agent for a meeting-notetaker app (mock data, no real spend). channels.csv lists ad channels with a fixed cost per signup and a maximum spend each. Allocate a total budget of $10,000 to maximize signups. Write plan.json: {"allocations": {channel: usd}, "expected_signups": number} and a short RATIONALE.md. Spend must not exceed any channel cap or the total budget. Inspired by https://x.com/janaksunil/status/2105722379116933574 (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: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.
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 (4/5 checks). Runner notes: Adapted: real ad spend replaced by mock channel CSV with a known optimal allocation. Single run, no retries. Same rubric/score.py as Claude runs. Web disabled.
Metrics
- Cost
- $0.0018
- Wall time
- 11s
- Human step-ins
- 0
- Turns
- 5
| Model | Input tok | Output tok | Cost |
|---|---|---|---|
| QQwen3 Coder 480B Turbo (Venice)venice/qwen3-coder-480b-a35b-instruct-turbo | 4,790 | 840 | $0.0018 |
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: total <= $10,000; no channel over cap; signups within 1% of optimum (256.96); expected_signups reported accurately (±2%); RATIONALE.md written.
- 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-RV50noPmV0zQnXFjmr2H6jTM", "object": "chat.completion", "created": 1792023084, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I'll help you allocate the $10,000 budget to maximize signups based on the channels data. First, let me check what channels are available.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_c34d6a7c4580df83", "type": "function", "function": {"name": "list_files", "arguments": "{\"path\": \".\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 607, "completion_tokens": 54, "total_tokens": 661, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.00014465000000000002}, "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": "list_files", "args": {"path": "."}, "result": "./channels.csv"}
{"turn": 2, "response": {"service_tier": "default", "id": "chatcmpl-RySwFN5GDeodBQElEp0SESOP", "object": "chat.completion", "created": 1792023085, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Let me read the channels data to understand the cost per signup and maximum spend limits.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_a56888e193c39fe5", "type": "function", "function": {"name": "read_file", "arguments": "{\"path\": \"channels.csv\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 678, "completion_tokens": 39, "total_tokens": 717, "prompt_tokens_details": {"cached_tokens": 480}, "cache_read_input_tokens": 480}, "cost": {"usd": 0, "diem": 0.00014700000000000002}, "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": "channels.csv"}, "result": "channel,cost_per_signup_usd,max_spend_usd\nsearch_ads,42,4000\nsocial_ads,55,5000\npodcast_sponsor,120,3000\nreddit_ads,30,1500\nnewsletter_swap,18,800\ndisplay_ads,95,6000\ninfluencer,70,2500\n"}
{"turn": 3, "response": {"service_tier": "default", "id": "chatcmpl-RzbDzoxcpYiCnO6byEsv0kqO", "object": "chat.completion", "created": 1792023086, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now I'll analyze the channels to determine the optimal allocation strategy. To maximize signups, I should prioritize channels with the lowest cost per signup while respecting their maximum spend limits and the total budget constraint.\n\nLet me calculate the potential signups per channel if we spend the maximum amount:\n\n1. Newsletter swap: $18/signup, max $800 = 44.4 signups\n2. Reddit ads: $30/signup, max $1500 = 50 signups\n3. Search ads: $42/signup, max $4000 = 95.2 signups\n4. Influencer: $70/signup, max $2500 = 35.7 signups\n5. Social ads: $55/signup, max $5000 = 90.9 signups\n6. Display ads: $95/signup, max $6000 = 63.2 signups\n7. Podcast sponsor: $120/signup, max $3000 = 25 signups\n\nTo maximize signups, I'll allocate budget starting with the cheapest cost per signup until either the channel cap is reached or the total budget is exhausted.\n\nLet me create the optimal allocation plan:\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_a9b8e81452a97c82", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"plan.json\", \"content\": \"{\\n \\\"allocations\\\": {\\n \\\"newsletter_swap\\\": 800,\\n \\\"reddit_ads\\\": 1500,\\n \\\"search_ads\\\": 4000,\\n \\\"social_ads\\\": 3700\\n },\\n \\\"expected_signups\\\": 194\\n}\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 823, "completion_tokens": 360, "total_tokens": 1183, "prompt_tokens_details": {"cached_tokens": 688}, "cache_read_input_tokens": 688}, "cost": {"usd": 0, "diem": 0.0006147699999999999}, "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": "plan.json", "content": "{\n \"allocations\": {\n \"newsletter_swap\": 800,\n \"reddit_ads\": 1500,\n \"search_ads\": 4000,\n \"social_ads\": 3700\n },\n \"expected_signups\": 194\n}"}, "result": "wrote 152 chars"}
{"turn": 4, "response": {"service_tier": "default", "id": "chatcmpl-R7tlOlIxeh5WOC9KLKbwYuyJ", "object": "chat.completion", "created": 1792023090, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "Now let me create the rationale document explaining the allocation strategy.\n\n", "reasoning_content": null, "name": null, "tool_calls": [{"id": "call_c73dfbf60a97120b", "type": "function", "function": {"name": "write_file", "arguments": "{\"path\": \"RATIONALE.md\", \"content\": \"# Budget Allocation Rationale\\n\\nTo maximize signups with a $10,000 budget, I prioritized channels based on cost efficiency (lowest cost per signup first):\\n\\n1. **Newsletter swap** ($18/signup) - Allocated maximum $800 for ~44 signups\\n2. **Reddit ads** ($30/signup) - Allocated maximum $1,500 for ~50 signups\\n3. **Search ads** ($42/signup) - Allocated maximum $4,000 for ~95 signups\\n4. **Social ads** ($55/signup) - Allocated remaining $3,700 for ~67 signups\\n\\nThis allocation uses the full $10,000 budget and achieves approximately 194 signups. I didn't allocate to influencer marketing ($70/signup), display ads ($95/signup), or podcast sponsorship ($120/signup) as they're less cost-effective given our budget constraints.\"}"}}]}, "finish_reason": "tool_calls", "logprobs": null}], "usage": {"prompt_tokens": 1204, "completion_tokens": 253, "total_tokens": 1457, "prompt_tokens_details": {"cached_tokens": 640}, "cache_read_input_tokens": 640}, "cost": {"usd": 0, "diem": 0.0006025}, "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": "write_file", "args": {"path": "RATIONALE.md", "content": "# Budget Allocation Rationale\n\nTo maximize signups with a $10,000 budget, I prioritized channels based on cost efficiency (lowest cost per signup first):\n\n1. **Newsletter swap** ($18/signup) - Allocated maximum $800 for ~44 signups\n2. **Reddit ads** ($30/signup) - Allocated maximum $1,500 for ~50 signups\n3. **Search ads** ($42/signup) - Allocated maximum $4,000 for ~95 signups\n4. **Social ads** ($55/signup) - Allocated remaining $3,700 for ~67 signups\n\nThis allocation uses the full $10,000 budget and achieves approximately 194 signups. I didn't allocate to influencer marketing ($70/signup), display ads ($95/signup), or podcast sponsorship ($120/signup) as they're less cost-effective given our budget constraints."}, "result": "wrote 721 chars"}
{"turn": 5, "response": {"service_tier": "default", "id": "chatcmpl-RIn6M0b1fOACJzy7WnLmMnzE", "object": "chat.completion", "created": 1792023093, "model": "qwen3-coder-480b-a35b-instruct-turbo", "choices": [{"index": 0, "message": {"role": "assistant", "content": "I've completed the budget allocation task to maximize signups with the $10,000 budget.\n\nSummary of my solution:\n- Created a plan.json file with optimal budget allocations across 4 channels\n- Allocated funds to channels with the lowest cost per signup while respecting individual channel caps\n- The allocation yields approximately 194 signups while using the entire $10,000 budget\n- Created a RATIONALE.md explaining the prioritization strategy based on cost efficiency\n\nThe channels selected were newsletter_swap, reddit_ads, search_ads, and social_ads, with funds distributed in order of cost efficiency until the budget was fully allocated.", "reasoning_content": null, "name": null, "tool_calls": []}, "finish_reason": "stop", "logprobs": null}], "usage": {"prompt_tokens": 1478, "completion_tokens": 134, "total_tokens": 1612, "prompt_tokens_details": {"cached_tokens": 1440}, "cache_read_input_tokens": 1440}, "cost": {"usd": 0, "diem": 0.0002719}, "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}}}