HyperAI
Command Palette
Search for a command to run...
IFBench
58の多様で検証可能なドメイン外制約における指示追従の汎化性能を評価するベンチマークで、特定の出力要件に従うモデルの能力をテストする。
- モデル
- 150 現在、 451 合計
- 中央値
- 43.0%
- 範囲
- 12.1%–82.9%
| ランク | 比較する | モデル | スコア |
|---|---|---|---|
| 1 | MiniMax-M3 MiniMax | 82.9% | |
| 2 | 81.4% | ||
| 3 | 80.4% | ||
| 4 | 79.6% | ||
| 5 | 79.0% | ||
| 6 | 78.8% | ||
| 7 | Qwen3.7 Plus Alibaba | 78.0% | |
| 8 | Gemini 3.1 Pro Preview Google | 77.1% | |
| 9 | 75.7% | ||
| 10 | Gemma 4 31B (Reasoning) Google | 75.6% | |
| 11 | GPT-5.3 Codex (Xhigh) OpenAI | 75.4% | |
| 12 | Command A+ Cohere | 73.9% | |
| 13 | Gemma 4 12B (Reasoning) Google | 73.5% | |
| 14 | 72.4% | ||
| 15 | o3 OpenAI | 71.4% | |
| 16 | 71.1% | ||
| 17 | Nova 2.0 Lite (High) Amazon | 70.7% | |
| 18 | Apriel-v1.6-15B-Thinker ServiceNow | 69.1% | |
| 19 | gpt-oss-120b (High) OpenAI | 69.0% | |
| 20 | Mistral Medium 3.5 Mistral | 68.8% | |
| 21 | Nova 2.0 Lite (Medium) Amazon | 68.5% | |
| 22 | Qwen3.5 9B (Reasoning) Alibaba | 66.7% | |
| 23 | KAT Coder Pro V2 KwaiKAT | 66.7% | |
| 24 | HyperNova 60B 2605 (High, Based on gpt-oss-120b) Multiverse Computing | 66.5% | |
| 25 | 66.2% | ||
| 26 | Nova 2.0 Omni (Medium) Amazon | 66.2% | |
| 27 | Olmo 3.1 32B Think Allen Institute for AI | 66.0% | |
| 28 | gpt-oss-20b (High) OpenAI | 65.1% | |
| 29 | Qwen3.6 35B A3B (Reasoning) Alibaba | 64.4% | |
| 30 | 63.2% | ||
| 31 | Kimi K2.7 Code Kimi | 63.1% | |
| 32 | K2 Think V2 Institute of Foundation Models | 62.8% | |
| 33 | Nova 2.0 Omni (Low) Amazon | 61.8% | |
| 34 | Nova 2.0 Lite (Low) Amazon | 61.2% | |
| 35 | 61.1% | ||
| 36 | 60.7% | ||
| 37 | K2-V2 (High) Institute of Foundation Models | 60.1% | |
| 38 | DiffusionGemma 26B A4B Google | 59.5% | |
| 39 | gpt-oss-120b (Low) OpenAI | 58.3% | |
| 40 | 58.2% | ||
| 41 | EXAONE 4.5 33B (Reasoning) LG AI Research | 58.0% | |
| 42 | gpt-oss-20b (Low) OpenAI | 57.8% | |
| 43 | Solar Open 100B (Reasoning) Upstage | 57.7% | |
| 44 | North Mini Code Cohere | 57.6% | |
| 45 | Motif-2-12.7B-Reasoning Motif Technologies | 57.0% | |
| 46 | Trinity Large Thinking Arcee AI | 56.3% | |
| 47 | LFM2.5-8B-A1B Liquid AI | 55.6% | |
| 48 | K2-V2 (Medium) Institute of Foundation Models | 55.1% | |
| 49 | Tri-21B-Think Trillion Labs | 54.6% | |
| 50 | Falcon-H1R-7B TII UAE | 54.4% |