Catégorie AI BENCHY
Classement Résolution d'énigmes
Voyez quels modèles d'IA réussissent le mieux sur Résolution d'énigmes, lesquels restent fiables et où les écarts sont les plus marqués. Trier par: Temps de réponse (moy.) ↓.
Raisons d'échec liées
| Rang | Modèle | Entreprise | Score Résolution d'énigmes | Score moy. | Tests corrects | Temps de réponse (moy.) |
|---|---|---|---|---|---|---|
| #7 | Qwen3.5-27B medium | Qwen | 8.3 | 8.2 | 2/3 | 64.6s |
| #24 | Qwen3.5-Flash medium | Qwen | 4.0 | 6.9 | 1/3 | 56.7s |
| #8 | Gemini 3.1 Flash Lite Preview high | 7.0 | 8.2 | 2/3 | 46.3s | |
| #28 | Kimi K2.5 medium | Moonshot AI | 4.0 | 6.4 | 1/3 | 45.4s |
| #18 | DeepSeek V3.2 medium | DeepSeek | 7.0 | 7.3 | 2/3 | 36.9s |
| #4 | Qwen3.5 Plus 2026-02-15 medium | Qwen | 10.0 | 8.3 | 3/3 | 34.6s |
| #35 | Qwen3.5-35B-A3B medium | Qwen | 4.0 | 5.5 | 1/3 | 31.6s |
| #23 | Seed-2.0-Mini medium | Bytedance Seed | 7.0 | 6.9 | 2/3 | 25.9s |
| #48 | Qwen3 Coder Next none | Qwen | 1.3 | 4.0 | 0/3 | 22.9s |
| #34 | GPT-5 Nano medium | OpenAI | 4.0 | 5.5 | 1/3 | 19.8s |
| #10 | Qwen3.5-122B-A10B medium | Qwen | 10.0 | 7.7 | 3/3 | 17.2s |
| #14 | GLM 5 medium | Z.ai | 10.0 | 7.4 | 3/3 | 15.6s |
| #32 | GPT-5 Mini medium | OpenAI | 4.3 | 6.0 | 1/3 | 14.1s |
| #52 | GLM 4.7 Flash medium | Z.ai | 10.0 | 3.1 | 0/3 | 12.9s |
| #39 | gpt-oss-120b medium | OpenAI | 1.7 | 5.1 | 0/3 | 11.8s |
| #43 | MiniMax M2.5 medium | Minimax | 4.0 | 4.7 | 1/3 | 11.5s |
| #9 | GPT-5.4 medium | OpenAI | 7.0 | 8.0 | 2/3 | 9.13s |
| #30 | Grok 4.1 Fast medium | X AI | 4.0 | 6.2 | 1/3 | 8.08s |
| #13 | Step 3.5 Flash medium | Stepfun | 4.0 | 7.4 | 1/3 | 7.72s |
| #33 | DeepSeek V3.2 none | DeepSeek | 7.7 | 5.5 | 2/3 | 7.37s |
| #2 | Gemini 3.1 Pro Preview medium | 10.0 | 9.4 | 3/3 | 7.15s | |
| #5 | Gemini 3 Flash Preview low | 10.0 | 8.2 | 3/3 | 6.11s | |
| #37 | Qwen3.5-Flash none | Qwen | 1.3 | 5.2 | 0/3 | 5.90s |
| #27 | GPT-5.2 medium | OpenAI | 7.0 | 6.5 | 2/3 | 5.47s |
| #3 | GPT-5.3-Codex medium | OpenAI | 9.3 | 8.4 | 2/3 | 5.12s |
| #11 | Claude Sonnet 4.6 medium | Anthropic | 10.0 | 7.7 | 3/3 | 4.80s |
| #46 | Kimi K2.5 none | Moonshot AI | 10.0 | 4.1 | 0/3 | 4.73s |
| #26 | Claude Opus 4.6 medium | Anthropic | 7.0 | 6.6 | 2/3 | 4.60s |
| #1 | Gemini 3 Flash Preview medium | 10.0 | 10.0 | 3/3 | 4.43s | |
| #15 | GPT-5.2 Chat none | OpenAI | 7.0 | 7.4 | 2/3 | 4.42s |
| #16 | Gemini 2.5 Flash medium | 7.0 | 7.4 | 2/3 | 3.94s | |
| #6 | Gemini 3 Pro Preview medium | 10.0 | 8.2 | 3/3 | 3.91s | |
| #21 | MiMo-V2-Flash medium | Xiaomi | 7.0 | 7.2 | 2/3 | 3.77s |
| #12 | Gemini 3.1 Flash Lite Preview medium | 7.0 | 7.5 | 2/3 | 3.58s | |
| #45 | Trinity Large Preview none | Arcee AI | 4.0 | 4.2 | 1/3 | 3.30s |
| #19 | GPT-5.3 Chat none | OpenAI | 10.0 | 7.3 | 3/3 | 2.93s |
| #25 | Claude Sonnet 4.6 none | Anthropic | 7.0 | 6.8 | 2/3 | 2.92s |
| #29 | Qwen3.5 Plus 2026-02-15 none | Qwen | 7.0 | 6.2 | 2/3 | 2.82s |
| #17 | Gemini 3.1 Flash Lite Preview low | 10.0 | 7.3 | 3/3 | 2.76s | |
| #50 | Qwen3 Coder Next medium | Qwen | 10.0 | 3.5 | 0/3 | 2.30s |
| #31 | GLM 5 none | Z.ai | 7.0 | 6.0 | 2/3 | 2.05s |
| #55 | LFM2-24B-A2B none | Liquid | 3.3 | 2.6 | 0/3 | 1.69s |
| #44 | GPT-5.4 none | OpenAI | 4.0 | 4.5 | 1/3 | 1.52s |
| #54 | MiMo-V2-Flash none | Xiaomi | 10.0 | 2.9 | 0/3 | 1.38s |
| #41 | Qwen3.5-27B none | Qwen | 6.3 | 4.9 | 1/3 | 1.37s |
| #42 | Qwen3.5-35B-A3B none | Qwen | 1.7 | 4.7 | 0/3 | 1.34s |
| #47 | GPT-4o-mini none | OpenAI | 2.3 | 4.0 | 0/3 | 1.30s |
| #53 | Grok 4.1 Fast none | X AI | 1.3 | 2.9 | 0/3 | 1.28s |
| #20 | Gemini 3 Flash Preview none | 7.0 | 7.2 | 2/3 | 1.06s | |
| #49 | GLM 4.7 Flash none | Z.ai | 3.7 | 3.9 | 0/3 | 1.00s |
| #40 | Qwen3.5-122B-A10B none | Qwen | 4.0 | 5.0 | 1/3 | 982ms |
| #22 | Gemini 3.1 Flash Lite Preview none | 10.0 | 7.1 | 3/3 | 972ms | |
| #36 | Mercury 2 medium | Inception | 1.7 | 5.3 | 0/3 | 934ms |
| #38 | Gemini 2.5 Flash none | 4.7 | 5.2 | 1/3 | 576ms | |
| #51 | Mercury 2 none | Inception | 10.0 | 3.4 | 0/3 | 533ms |