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: 応答時間(平均) ↓.
316/316
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) |
|---|---|---|---|---|---|---|---|
| #202 | Trinity Large Thinking low | Arcee AI | 7 | 6.0 | $0.625 | 8/22 | 96.6s |
| #66 | Muse Glimmer 30B xhigh | Meta | 4 | 8.1 | $0.471 | 13/22 | 95.6s |
| #141 | Seed-2.0-Mini medium | Bytedance Seed | 5 | 7.0 | $0.116 | 11/22 | 93.1s |
| #91 | DeepSeek V4 Pro high | DeepSeek | 7 | 7.7 | $0.454 | 10/22 | 92.5s |
| #102 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 4 | 7.5 | $0.459 | 14/22 | 91.8s |
| #299 | Granite 4.2 8B none | IBM Granite | 11 | 4.3 | $0.026 | 3/22 | 86.3s |
| #197 | Trinity Large Thinking medium | Arcee AI | 8 | 6.1 | $0.756 | 8/22 | 85.4s |
| #269 | Laguna S 2.1 low | Poolside | 15 | 5.0 | $0.082 | 3/22 | 85.3s |
| #122 | DeepSeek V4 Flash 0731 medium | DeepSeek | 5 | 7.3 | $0.106 | 11/22 | 84.7s |
| #195 | Qwen3.5-Flash medium | Qwen | 5 | 6.1 | $0.142 | 11/22 | 84.4s |
| #17 | Grok 4.6 high | X AI | 2 | 9.3 | $1.908 | 19/22 | 84.1s |
| #110 | Kimi K2.7 Code medium | Moonshot AI | 6 | 7.4 | $0.687 | 11/22 | 80.1s |
| #187 | Gemma 4 31B medium | 3 | 6.2 | $0.100 | 13/22 | 78.6s | |
| #69 | DeepSeek V4 Flash 0731 low | DeepSeek | 7 | 8.0 | $0.072 | 13/22 | 77.6s |
| #280 | Trinity Large Thinking high | Arcee AI | 10 | 4.8 | $0.592 | 5/22 | 75.9s |