不正解 の失敗
どのAIモデルで 不正解 が起きやすいかを確認し、選ぶ前に信頼性のリスクを見極められます。 並び替え: 合計コスト ↑.
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モデルを絞り込む
現在の検索条件とフィルターに一致するモデルはありません。
| 順位 | モデル | 企業 | 不正解 件数 | スコア | 合計コスト | 正解テスト | 応答時間（平均） |
|---|---|---|---|---|---|---|---|
| #102 | DeepSeek V4.1 Flash 1017 max | DeepSeek | 4 | 0.8 | $0.757 | 15/23 | 78.2s |
| #177 | LongCat 2.0 medium | Meituan | 8 | 0.7 | $0.767 | 12/23 | 144.9s |
| #116 | Gemini 3.8 Flash medium | 2 | 0.8 | $0.769 | 19/23 | 16.6s | |
| #168 | LongCat 2.0 high | Meituan | 7 | 0.7 | $0.778 | 10/23 | 151.7s |
| #194 | Grok 4.6 low | X AI | 8 | 0.7 | $0.781 | 15/23 | 16.4s |
| #155 | Qwen3.6 Flash medium | Qwen | 8 | 0.7 | $0.783 | 13/23 | 45.5s |
| #332 | Ember-1 none | Fireworks | 10 | 0.5 | $0.786 | 8/23 | 22.6s |
| #304 | Trinity Large Thinking high | Arcee AI | 10 | 0.6 | $0.794 | 6/23 | 74.5s |
| #219 | GPT-5.6 Sol none | OpenAI | 10 | 0.7 | $0.795 | 12/23 | 4.61s |
| #243 | Beam 1.0 501B A23B max | Reflection | 6 | 0.6 | $0.799 | 12/23 | 11.1s |
| #232 | Qwen3.6 35B A3B medium | Qwen | 6 | 0.7 | $0.834 | 12/23 | 59.9s |
| #247 | Kimi K2.5 medium | Moonshot AI | 5 | 0.6 | $0.841 | 10/23 | 125.8s |
| #278 | Trinity Large Thinking medium | Arcee AI | 9 | 0.6 | $0.862 | 8/23 | 84.0s |
| #15 | Gemini 3 Flash Preview medium | 2 | 1.0 | $0.876 | 21/23 | 21.6s | |
| #108 | Seed-2.0-Code low | Bytedance Seed | 7 | 0.8 | $0.881 | 14/23 | 73.0s |