| {"schema": 2, "epoch": 87604, "nonce": "fa02a8a7d0396fb4", "hotkey": "5Hg4fML2RQ86kiurzDJsHXBMwJuCDzW6Jv4MU8zTeLjonNxH", "source_hash": "24837b9ae6895829747c5eb448673693fedbeb2e3e62a5ca170051a512053fc0", "weights_hash": "f105aad63d7b96494c90b5ac1f2a4e3fa0b94f9a6a7430370730cc1f32438ded", "model_id": "router", "total_cost_usd": 0.0007483, "n_calls": 6, "call_log_hash": "88db1a0c3fa73f194a2fa45b0e23be8c04e646795b19b674efa13a68fd983843", "measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "confined": true, "latency_s": 20.958, "tokens_in": 1285, "tokens_out": 1550, "results": [{"benchmark": "mmlu", "task_id": "mmlu-4856", "answer": "D", "cost_usd": 3.81e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.054624, 0.069245, 0.057523, 0.057523, 0.663053, 0.042215, 0.055817]}, {"benchmark": "mmlu", "task_id": "mmlu-10049", "answer": "A", "cost_usd": 4.09e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.115671, 0.106424, 0.070536, 0.070536, 0.475272, 0.053029, 0.108532]}, {"benchmark": "math", "task_id": "gsm8k-1262", "answer": "1. Trained speed: \\(150 \\times 2.5 = 375\\) words per minute \n2. Total words: \\(10 \\times 450 = 4500\\) words \n3. Time: \\(4500 \\div 375 = 12\\) minutes \n\n12", "cost_usd": 9.409999999999998e-05, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.134067, 0.090325, 0.073606, 0.073606, 0.414816, 0.106815, 0.106766]}, {"benchmark": "math", "task_id": "gsm8k-750", "answer": "Each week:\n- Weekdays: \\(5 \\times 60 = 300\\) chairs\n- Weekends: \\(2 \\times 100 = 200\\) chairs\n- Total per week: \\(300 + 200 = 500\\) chairs\n\nTwo 4-week months contain \\(8\\) weeks:\n\n\\[\n8 \\times 500 = 4000\n\\]\n\n4000", "cost_usd": 0.00011250000000000002, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.12588, 0.13198, 0.075202, 0.075202, 0.379372, 0.106578, 0.105786]}, {"benchmark": "code", "task_id": "lcb-abc396_a", "answer": "import sys\n\ndef main():\n data = list(map(int, sys.stdin.buffer.read().split()))\n n = data[0]\n a = data[1:1 + n]\n\n for i in range(n - 2):\n if a[i] == a[i + 1] == a[i + 2]:\n print(\"Yes\")\n return\n\n print(\"No\")\n\nif __name__ == \"__main__\":\n main()\n", "cost_usd": 0.00010080000000000001, "chosen_rung": 4, "rungs_used": [4], "distribution": [0.115358, 0.123395, 0.074741, 0.074741, 0.332646, 0.147349, 0.13177]}, {"benchmark": "code", "task_id": "lcb-abc394_d", "answer": "```python\nimport sys\n\ndef main():\n s = sys.stdin.readline().strip()\n stack = []\n matching = {')': '(', ']': '[', '>': '<'}\n for ch in s:\n if ch in '([<':\n stack.append(ch)\n else: # closing bracket\n if not stack or stack[-1] != matching[ch]:\n print(\"No\")\n return\n stack.pop()\n print(\"Yes\" if not stack else \"No\")\n\nif __name__ == \"__main__\":\n main()\n```", "cost_usd": 0.0003619, "chosen_rung": 1, "rungs_used": [1], "distribution": [0.135299, 0.306543, 0.067081, 0.067081, 0.156831, 0.124415, 0.14275]}], "quote": {"measurement": "1449fadb4821cadef93f7eecc8c3b040e2cd244e01a2607ea531e5f7055c38d8", "report_data": "afb5878d38692b5f0f581d12f741f315fcf5780a9472ee043fd3bf4f4c13ebe7", "platform_sig": 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