{
  "schemaVersion": 3,
  "id": "ayt-2026-sb2",
  "kind": "exam",
  "title": {
    "tr": "2026 AYT · Sosyal Bilimler-2",
    "en": "2026 AYT · Social Sciences-2"
  },
  "subtitle": {
    "tr": "Alan Yeterlilik Testi · Sosyal Bilimler-2",
    "en": "Turkish university entrance exam · Social Sciences-2"
  },
  "category": {
    "tr": "Ulusal sınav",
    "en": "National exam"
  },
  "description": {
    "tr": "Yapay zekâ modellerinin 2026 AYT Sosyal Bilimler-2 testindeki doğruluk, puan, maliyet ve token verimliliğini farklı akıl yürütme (reasoning effort) seviyelerinde karşılaştırır.",
    "en": "Compares AI models on the 2026 AYT Social Sciences-2 test across accuracy, score, cost, and token efficiency at different reasoning effort levels."
  },
  "status": "published",
  "examDate": "2026-06-21",
  "runId": "2026-07-31T14-58-12Z",
  "runCompletedAt": "2026-08-12T04:38:43Z",
  "generatedAt": "2026-08-12T04:38:43Z",
  "itemCount": 40,
  "responseCount": 2960,
  "totalQuestions": 40,
  "score": {
    "label": {
      "tr": "SB2 Puanı",
      "en": "SB2 Score"
    },
    "min": 100.0,
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    "formula": {
      "tr": "100 + Sosyal Bilimler-2 neti × 3",
      "en": "100 + Social Sciences-2 net × 3"
    }
  },
  "netRule": {
    "tr": "net = doğru − yanlış/4; geçersiz yanıtlar yanlış sayılır.",
    "en": "net = correct − wrong/4; invalid responses count as wrong."
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      "code": "SB2",
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        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 3906.25,
        "netPer1kTokens": 1.5899
      },
      "rank": 51
    },
    {
      "modelId": "anthropic/claude-sonnet-5@low",
      "baseModelId": "anthropic/claude-sonnet-5",
      "modelSlug": "claude-sonnet-5",
      "developerId": "anthropic",
      "name": "Claude Sonnet 5 (low)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.0447,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 20426,
        "known": true,
        "approximate": false,
        "prompt": 19941,
        "completion": 485,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "low",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 838.9262,
        "netPer1kTokens": 1.8359
      },
      "rank": 52
    },
    {
      "modelId": "meta/muse-glimmer-30b@high",
      "baseModelId": "meta/muse-glimmer-30b",
      "modelSlug": "muse-glimmer-30b",
      "developerId": "meta",
      "name": "Muse Glimmer 30B (high)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.0527,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 44781,
        "known": true,
        "approximate": false,
        "prompt": 11544,
        "completion": 33237,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Koşu ayarlarındaki 65.536 istenen tavandır; efektif tavan 32.768'dir. Diğer varyantlar 131.072 ile koştu, ancak modelin bağlamı 131.072 olduğundan genel tavan gönderilemezdi. Pinlenen Together endpoint'i ilan etmediği bir sınırla talebi 32.768'de kesiyor. 2026-08-12 ölçümünde bu tavanda hiçbir yanıt kesilmedi.",
        "en": "The 65,536 shown in run settings is the requested ceiling; the effective ceiling is 32,768. The other variants ran with 131,072, but the run-wide ceiling could not be sent because this model's context is 131,072. The pinned Together endpoint enforces an undeclared limit that caps the request at 32,768. In the 2026-08-12 measurement no response was truncated at this ceiling."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 65536,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "ignore": [
            "deepinfra"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 711.575,
        "netPer1kTokens": 0.8374
      },
      "rank": 53
    },
    {
      "modelId": "qwen/qwen3.7-plus",
      "baseModelId": "qwen/qwen3.7-plus",
      "modelSlug": "qwen3-7-plus",
      "developerId": "alibaba-qwen",
      "name": "Qwen3.7 Plus",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.08,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 71574,
        "known": true,
        "approximate": false,
        "prompt": 12079,
        "completion": 59495,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": null,
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 468.75,
        "netPer1kTokens": 0.5239
      },
      "rank": 54
    },
    {
      "modelId": "tencent/hy3@high",
      "baseModelId": "tencent/hy3",
      "modelSlug": "tencent-hy3",
      "developerId": "tencent",
      "name": "Tencent Hy3 (high)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.0979,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 135411,
        "known": true,
        "approximate": false,
        "prompt": 14528,
        "completion": 120883,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; allow_fallbacks nedeniyle 2026-07-31 ölçümünde gerçek fatura hesaplananın ≈1,5 katıydı.",
        "en": "Cost computed from the list price; with allow_fallbacks, a 2026-07-31 probe measured the actual bill at ≈1.5× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 383.0439,
        "netPer1kTokens": 0.2769
      },
      "rank": 55
    },
    {
      "modelId": "qwen/qwen3.6-27b",
      "baseModelId": "qwen/qwen3.6-27b",
      "modelSlug": "qwen3-6-27b",
      "developerId": "alibaba-qwen",
      "name": "Qwen3.6 27B",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.2645,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 83525,
        "known": true,
        "approximate": false,
        "prompt": 12079,
        "completion": 71446,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; allow_fallbacks nedeniyle 2026-07-31 ölçümünde gerçek fatura hesaplananın ≈1,8 katıydı.",
        "en": "Cost computed from the list price; with allow_fallbacks, a 2026-07-31 probe measured the actual bill at ≈1.8× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": null,
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "ignore": [
            "io-net"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 141.7769,
        "netPer1kTokens": 0.449
      },
      "rank": 56
    },
    {
      "modelId": "anthropic/claude-fable-5@medium",
      "baseModelId": "anthropic/claude-fable-5",
      "modelSlug": "claude-fable-5",
      "developerId": "anthropic",
      "name": "Claude Fable 5 (medium)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 1,
          "invalid": 1,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.3828,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 23703,
        "known": true,
        "approximate": false,
        "prompt": 19941,
        "completion": 3762,
        "orchestration": 0
      },
      "errors": {
        "invalid": 1,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "medium",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 97.9624,
        "netPer1kTokens": 1.5821
      },
      "rank": 57
    },
    {
      "modelId": "moonshotai/kimi-k3@high",
      "baseModelId": "moonshotai/kimi-k3",
      "modelSlug": "kimi-k3",
      "developerId": "moonshot",
      "name": "Kimi K3 (high)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 2,
          "invalid": 0,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.7047,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 48047,
        "known": true,
        "approximate": false,
        "prompt": 19050,
        "completion": 28997,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "ignore": [
            "nebius",
            "moonshotai"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 53.2141,
        "netPer1kTokens": 0.7805
      },
      "rank": 58
    },
    {
      "modelId": "anthropic/claude-fable-5@high",
      "baseModelId": "anthropic/claude-fable-5",
      "modelSlug": "claude-fable-5",
      "developerId": "anthropic",
      "name": "Claude Fable 5 (high)",
      "score": 212.5,
      "net": 37.5,
      "sections": {
        "SB2": {
          "correct": 38,
          "wrong": 1,
          "invalid": 1,
          "net": 37.5
        }
      },
      "cost": {
        "usd": 0.8263,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 32574,
        "known": true,
        "approximate": false,
        "prompt": 19941,
        "completion": 12633,
        "orchestration": 0
      },
      "errors": {
        "invalid": 1,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 45.383,
        "netPer1kTokens": 1.1512
      },
      "rank": 59
    },
    {
      "modelId": "openai/gpt-5.6-luna@none",
      "baseModelId": "openai/gpt-5.6-luna",
      "modelSlug": "gpt-5-6-luna",
      "developerId": "openai",
      "name": "GPT-5.6 Luna (none)",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 3,
          "invalid": 0,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.0032,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 15126,
        "known": true,
        "approximate": false,
        "prompt": 11692,
        "completion": 3434,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "none",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 11328.125,
        "netPer1kTokens": 2.3965
      },
      "rank": 60
    },
    {
      "modelId": "google/gemma-4-31b-it",
      "baseModelId": "google/gemma-4-31b-it",
      "modelSlug": "gemma-4-31b",
      "developerId": "google",
      "name": "Gemma 4 31B",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 3,
          "invalid": 0,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.0083,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 28607,
        "known": true,
        "approximate": false,
        "prompt": 11502,
        "completion": 17105,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; allow_fallbacks nedeniyle 2026-07-31 ölçümünde gerçek fatura hesaplananın ≈1,2 katıydı.",
        "en": "Cost computed from the list price; with allow_fallbacks, a 2026-07-31 probe measured the actual bill at ≈1.2× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": null,
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 4367.4699,
        "netPer1kTokens": 1.2672
      },
      "rank": 61
    },
    {
      "modelId": "openai/gpt-5.6-terra@none",
      "baseModelId": "openai/gpt-5.6-terra",
      "modelSlug": "gpt-5-6-terra",
      "developerId": "openai",
      "name": "GPT-5.6 Terra (none)",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 3,
          "invalid": 0,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.0197,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 13027,
        "known": true,
        "approximate": false,
        "prompt": 11692,
        "completion": 1335,
        "orchestration": 0
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      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "none",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 1840.1015,
        "netPer1kTokens": 2.7827
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      "rank": 62
    },
    {
      "modelId": "thinkingmachines/inkling@none",
      "baseModelId": "thinkingmachines/inkling",
      "modelSlug": "thinky-inkling",
      "developerId": "thinking-machines",
      "name": "Thinky Inkling (none)",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 3,
          "invalid": 0,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.0329,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 17113,
        "known": true,
        "approximate": false,
        "prompt": 11932,
        "completion": 5181,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "none",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 1101.8237,
        "netPer1kTokens": 2.1183
      },
      "rank": 63
    },
    {
      "modelId": "z-ai/glm-5.2@high",
      "baseModelId": "z-ai/glm-5.2",
      "modelSlug": "glm-5-2",
      "developerId": "zai",
      "name": "GLM 5.2 (high)",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 3,
          "invalid": 0,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.1069,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 39976,
        "known": true,
        "approximate": false,
        "prompt": 13339,
        "completion": 26637,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; allow_fallbacks nedeniyle 2026-07-31 ölçümünde gerçek fatura hesaplananın ≈1,3 katıydı.",
        "en": "Cost computed from the list price; with allow_fallbacks, a 2026-07-31 probe measured the actual bill at ≈1.3× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "ignore": [
            "akashml",
            "ambient"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 339.102,
        "netPer1kTokens": 0.9068
      },
      "rank": 64
    },
    {
      "modelId": "nvidia/nemotron-3-ultra-550b-a55b@high",
      "baseModelId": "nvidia/nemotron-3-ultra-550b-a55b",
      "modelSlug": "nemotron-3-ultra",
      "developerId": "nvidia",
      "name": "Nemotron 3 Ultra (high)",
      "score": 208.75,
      "net": 36.25,
      "sections": {
        "SB2": {
          "correct": 37,
          "wrong": 1,
          "invalid": 2,
          "net": 36.25
        }
      },
      "cost": {
        "usd": 0.709,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 208050,
        "known": true,
        "approximate": false,
        "prompt": 12893,
        "completion": 195157,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "ignore": [
            "baseten"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 51.1283,
        "netPer1kTokens": 0.1742
      },
      "rank": 65
    },
    {
      "modelId": "deepseek/deepseek-v4-pro@high",
      "baseModelId": "deepseek/deepseek-v4-pro",
      "modelSlug": "deepseek-v4-pro",
      "developerId": "deepseek",
      "name": "DeepSeek V4 Pro (high)",
      "score": 205.0,
      "net": 35.0,
      "sections": {
        "SB2": {
          "correct": 36,
          "wrong": 2,
          "invalid": 2,
          "net": 35.0
        }
      },
      "cost": {
        "usd": 0.1402,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 49318,
        "known": true,
        "approximate": false,
        "prompt": 15675,
        "completion": 33643,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; model allow_fallbacks ile koşuldu ve 2026-07-31 usage.cost ölçümünde gerçek fatura hesaplananın ≈3,9 katına ulaştı.",
        "en": "Cost computed from the list price; the model ran with allow_fallbacks and a 2026-07-31 usage.cost probe measured the actual bill at ≈3.9× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 249.6434,
        "netPer1kTokens": 0.7097
      },
      "rank": 66
    },
    {
      "modelId": "z-ai/glm-5.2@xhigh",
      "baseModelId": "z-ai/glm-5.2",
      "modelSlug": "glm-5-2",
      "developerId": "zai",
      "name": "GLM 5.2 (xhigh)",
      "score": 205.0,
      "net": 35.0,
      "sections": {
        "SB2": {
          "correct": 36,
          "wrong": 4,
          "invalid": 0,
          "net": 35.0
        }
      },
      "cost": {
        "usd": 0.1975,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 64084,
        "known": true,
        "approximate": false,
        "prompt": 13339,
        "completion": 50745,
        "orchestration": 0
      },
      "errors": {
        "invalid": 0,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; allow_fallbacks nedeniyle 2026-07-31 ölçümünde gerçek fatura hesaplananın ≈1,3 katıydı.",
        "en": "Cost computed from the list price; with allow_fallbacks, a 2026-07-31 probe measured the actual bill at ≈1.3× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "xhigh",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "ignore": [
            "akashml",
            "ambient"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 177.2152,
        "netPer1kTokens": 0.5462
      },
      "rank": 67
    },
    {
      "modelId": "deepseek/deepseek-v4-pro@xhigh",
      "baseModelId": "deepseek/deepseek-v4-pro",
      "modelSlug": "deepseek-v4-pro",
      "developerId": "deepseek",
      "name": "DeepSeek V4 Pro (xhigh)",
      "score": 205.0,
      "net": 35.0,
      "sections": {
        "SB2": {
          "correct": 36,
          "wrong": 3,
          "invalid": 1,
          "net": 35.0
        }
      },
      "cost": {
        "usd": 0.3702,
        "known": true,
        "approximate": true
      },
      "tokens": {
        "billed": 118955,
        "known": true,
        "approximate": false,
        "prompt": 18835,
        "completion": 100120,
        "orchestration": 0
      },
      "errors": {
        "invalid": 1,
        "apiFailures": 0
      },
      "note": {
        "tr": "Maliyet liste fiyatından hesaplandı; model allow_fallbacks ile koşuldu ve 2026-07-31 usage.cost ölçümünde gerçek fatura hesaplananın ≈3,9 katına ulaştı.",
        "en": "Cost computed from the list price; the model ran with allow_fallbacks and a 2026-07-31 usage.cost probe measured the actual bill at ≈3.9× the computed value."
      },
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "xhigh",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 94.5435,
        "netPer1kTokens": 0.2942
      },
      "rank": 68
    },
    {
      "modelId": "nvidia/nemotron-3-ultra-550b-a55b@medium",
      "baseModelId": "nvidia/nemotron-3-ultra-550b-a55b",
      "modelSlug": "nemotron-3-ultra",
      "developerId": "nvidia",
      "name": "Nemotron 3 Ultra (medium)",
      "score": 205.0,
      "net": 35.0,
      "sections": {
        "SB2": {
          "correct": 36,
          "wrong": 2,
          "invalid": 2,
          "net": 35.0
        }
      },
      "cost": {
        "usd": 0.6775,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 198983,
        "known": true,
        "approximate": false,
        "prompt": 12949,
        "completion": 186034,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "medium",
        "requestedRoutingPolicy": {
          "ignore": [
            "baseten"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 51.6605,
        "netPer1kTokens": 0.1759
      },
      "rank": 69
    },
    {
      "modelId": "deepseek/deepseek-v4-flash@high",
      "baseModelId": "deepseek/deepseek-v4-flash",
      "modelSlug": "deepseek-v4-flash",
      "developerId": "deepseek",
      "name": "DeepSeek V4 Flash (high)",
      "score": 201.25,
      "net": 33.75,
      "sections": {
        "SB2": {
          "correct": 35,
          "wrong": 4,
          "invalid": 1,
          "net": 33.75
        }
      },
      "cost": {
        "usd": 0.0095,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 41849,
        "known": true,
        "approximate": false,
        "prompt": 15675,
        "completion": 26174,
        "orchestration": 0
      },
      "errors": {
        "invalid": 1,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "ignore": [
            "akashml",
            "io-net"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 3552.6316,
        "netPer1kTokens": 0.8065
      },
      "rank": 70
    },
    {
      "modelId": "deepseek/deepseek-v4-flash@xhigh",
      "baseModelId": "deepseek/deepseek-v4-flash",
      "modelSlug": "deepseek-v4-flash",
      "developerId": "deepseek",
      "name": "DeepSeek V4 Flash (xhigh)",
      "score": 201.25,
      "net": 33.75,
      "sections": {
        "SB2": {
          "correct": 35,
          "wrong": 3,
          "invalid": 2,
          "net": 33.75
        }
      },
      "cost": {
        "usd": 0.0141,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 59764,
        "known": true,
        "approximate": false,
        "prompt": 18835,
        "completion": 40929,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "xhigh",
        "requestedRoutingPolicy": {
          "quantizations": [
            "fp8"
          ],
          "ignore": [
            "akashml",
            "io-net"
          ],
          "allow_fallbacks": true
        },
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 2393.617,
        "netPer1kTokens": 0.5647
      },
      "rank": 71
    },
    {
      "modelId": "meituan/longcat-2.0",
      "baseModelId": "meituan/longcat-2.0",
      "modelSlug": "longcat-2-0",
      "developerId": "meituan",
      "name": "LongCat 2.0",
      "score": 201.25,
      "net": 33.75,
      "sections": {
        "SB2": {
          "correct": 35,
          "wrong": 3,
          "invalid": 2,
          "net": 33.75
        }
      },
      "cost": {
        "usd": 0.0719,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 209287,
        "known": true,
        "approximate": false,
        "prompt": 15629,
        "completion": 193658,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": null,
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 469.4019,
        "netPer1kTokens": 0.1613
      },
      "rank": 72
    },
    {
      "modelId": "inclusionai/ring-2.6-1t@high",
      "baseModelId": "inclusionai/ring-2.6-1t",
      "modelSlug": "ring-2-6-1t",
      "developerId": "inclusion-ai",
      "name": "Ring-2.6-1T (high)",
      "score": 197.5,
      "net": 32.5,
      "sections": {
        "SB2": {
          "correct": 34,
          "wrong": 4,
          "invalid": 2,
          "net": 32.5
        }
      },
      "cost": {
        "usd": 0.0228,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 52492,
        "known": true,
        "approximate": false,
        "prompt": 13615,
        "completion": 38877,
        "orchestration": 0
      },
      "errors": {
        "invalid": 2,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "high",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 1425.4386,
        "netPer1kTokens": 0.6191
      },
      "rank": 73
    },
    {
      "modelId": "inclusionai/ring-2.6-1t@xhigh",
      "baseModelId": "inclusionai/ring-2.6-1t",
      "modelSlug": "ring-2-6-1t",
      "developerId": "inclusion-ai",
      "name": "Ring-2.6-1T (xhigh)",
      "score": 186.25,
      "net": 28.75,
      "sections": {
        "SB2": {
          "correct": 31,
          "wrong": 8,
          "invalid": 1,
          "net": 28.75
        }
      },
      "cost": {
        "usd": 0.0241,
        "known": true,
        "approximate": false
      },
      "tokens": {
        "billed": 64065,
        "known": true,
        "approximate": false,
        "prompt": 13720,
        "completion": 50345,
        "orchestration": 0
      },
      "errors": {
        "invalid": 1,
        "apiFailures": 0
      },
      "note": null,
      "settings": {
        "temperature": 0.0,
        "maxTokens": 131072,
        "reasoningEffort": "xhigh",
        "requestedRoutingPolicy": null,
        "endpointBaseUrl": null,
        "resolvedInferenceProviderId": null,
        "resolutionSource": "unknown",
        "settingsSource": "run"
      },
      "efficiency": {
        "netPerUsd": 1192.9461,
        "netPer1kTokens": 0.4488
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      "rank": 74
    }
  ],
  "questionStats": [
    {
      "id": "SB2-1",
      "number": 1,
      "section": "SB2",
      "cancelled": false,
      "correct": 74,
      "responses": 74
    },
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    },
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      "correct": 74,
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}
