Página automatizada. Redactada y traducida automáticamente por IA y verificada con las fuentes mediante software; sin editor humano. SI-IQ es un índice elaborado a partir de resultados públicos de benchmarks, no una prueba de CI. Cómo funciona
Mystery Game Puzzles: resultados de modelos de IA
Mystery Game Puzzles es un benchmark de Razonamiento ejecutado por Epoch AI. 78 modelos de nuestros datos tienen un resultado publicado.
Forma parte del índice SI-IQ (carga k = 1,15, nivel de azar 9 %).
- Evaluador
- Epoch AI
- Página principal del benchmark
- epoch.ai/benchmarks/mystery-game-puzzles
Resultados
| 1 | GPT-6 Astra OpenAI | 84,0 % | 150146–153 | 8 |
| 2 | GPT-6.1 Sol OpenAI | 80,0 % | 148144–152 | 8 |
| 3 | Claude Opus 5.5 Anthropic | 71,0 % | 144141–148 | 8 |
| 4 | Claude Sonnet 5.5 Anthropic | 65,0 % | 140137–143 | 8 |
| 5 | Gemini 4 Argon Google DeepMind | 64,0 % | 140137–143 | 8 |
| 6 | Claude Opus 5 Anthropic | 59,0 % | 136133–140 | 8 |
| 7 | Claude Fable 5.1 Anthropic | 58,0 % | 140136–143 | 8 |
| 8 | GPT-5.6 Sol OpenAI | 58,0 % | 140137–143 | 8 |
| 9 | GPT-5.5 OpenAI | 56,0 % | 138135–141 | 9 |
| 10 | GPT-6 Sol OpenAI | 56,0 % | 140137–144 | 8 |
| 11 | Claude Fable 5 Anthropic | 52,0 % | 138134–141 | 8 |
| 12 | Muse Wonder Meta AI | 51,0 % | 136133–139 | 4 datos insuficientes |
| 13 | Gemini 3.8 Flash Google DeepMind | 47,0 % | 130127–133 | 8 |
| 14 | DeepSeek V4 Pro 0813abierto DeepSeek | 43,0 % | 128125–131 | 8 |
| 15 | DeepSeek V4.1 Flashabierto DeepSeek | 43,0 % | 128125–131 | 8 |
| 16 | Qwen 3.8 Max Alibaba | 38,0 % | 130127–133 | 7 datos insuficientes |
| 17 | GPT-5.4 OpenAI | 37,0 % | 131128–133 | 9 |
| 18 | Gemini 3.7 Flash Google DeepMind | 37,0 % | 131128–134 | 8 |
| 19 | Claude Opus 4.8 Anthropic | 36,0 % | 132129–135 | 8 |
| 20 | Claude Sonnet 5 Anthropic | 35,0 % | 126123–129 | 8 |
| 21 | GPT-5.6 Terra OpenAI | 35,0 % | 134131–137 | 8 |
| 22 | DeepSeek V4 Flash 0731abierto DeepSeek | 34,0 % | 124121–127 | 8 |
| 23 | Gemini 3.1 Pro Google DeepMind | 34,0 % | 127124–130 | 9 |
| 24 | Grok 4.6 xAI | 34,0 % | 126123–129 | 8 |
| 25 | GLM-5.3abierto Z.ai (Zhipu AI) | 33,0 % | 125122–128 | 8 |
| 26 | Gemini 3.5 Flash Google DeepMind | 32,0 % | 126123–129 | 9 |
| 27 | Qwen3.7-Max Alibaba | 32,0 % | 125122–128 | 9 |
| 28 | Claude Haiku 5.5 Anthropic | 30,0 % | 129126–132 | 8 |
| 29 | Gemini 3.6 Flash Google DeepMind | 30,0 % | 125122–128 | 8 |
| 30 | Grok 4.7 xAI | 29,0 % | 123120–127 | 7 datos insuficientes |
| 31 | o3 OpenAI | 29,0 % | 116113–119 | 10 |
| 32 | Claude Opus 4.7 Anthropic | 28,0 % | 127124–130 | 9 |
| 33 | Gemini 3 Flash Google DeepMind | 26,0 % | 122119–125 | 9 |
| 34 | Kimi K3abierto Moonshot | 26,0 % | 127124–130 | 8 |
| 35 | Claude Opus 4.6 Anthropic | 25,0 % | 123120–126 | 9 |
| 36 | Muse Spark 1.3 Meta AI | 25,0 % | 128125–131 | 5 datos insuficientes |
| 37 | GPT-5 OpenAI | 23,0 % | 121118–124 | 11 |
| 38 | GPT-5.2 OpenAI | 23,0 % | 125122–128 | 10 |
| 39 | Claude Opus 4.5 Anthropic | 22,0 % | 115111–118 | 10 |
| 40 | Qwen 3.6 35B-A3Babierto Alibaba | 22,0 % | 111107–115 | 5 |
| 41 | Claude Opus 4.1 Anthropic | 21,0 % | 105102–109 | 6 datos insuficientes |
| 42 | GPT-5.6 Luna OpenAI | 21,0 % | 130127–133 | 8 |
| 43 | Nemotron 3 Ultraabierto Nvidia | 20,0 % | 114108–120 | 4 datos insuficientes |
| 44 | Qwen 3.5 Flash (hosted 35B-A3B) Alibaba | 20,0 % | 107103–111 | 6 datos insuficientes |
| 45 | GLM-5.2abierto Z.ai (Zhipu AI) | 19,0 % | 121118–124 | 9 |
| 46 | GPT-5.1 OpenAI | 19,0 % | 120115–125 | 7 |
| 47 | Gemini 3.5 Flash-Lite Google DeepMind | 19,0 % | 109106–113 | 7 |
| 48 | Qwen 3.6 Max (Preview) Alibaba | 19,0 % | 118112–124 | 5 datos insuficientes |
| 49 | Kimi K2.6abierto Moonshot | 18,0 % | 121118–124 | 9 |
| 50 | Qwen 3.6 Flash Alibaba | 18,0 % | 107103–111 | 6 datos insuficientes |
| 51 | Qwen3.5 397B-A17Babierto Alibaba | 18,0 % | 114109–118 | 5 |
| 52 | Claude Sonnet 4.5 Anthropic | 17,0 % | 110107–113 | 11 |
| 53 | DeepSeek-V4-Proabierto DeepSeek | 17,0 % | 117113–120 | 9 |
| 54 | Mistral Large 4 Mistral AI | 17,0 % | 122119–125 | 7 datos insuficientes |
| 55 | Qwen 3.5 Plus (hosted 397B-A17B) Alibaba | 17,0 % | 109103–115 | 5 datos insuficientes |
| 56 | Qwen3.5-122B-A10Babierto Alibaba | 17,0 % | 112103–121 | 3 datos insuficientes |
| 57 | Qwen3.7-Plus Alibaba | 17,0 % | 115110–119 | 5 |
| 58 | Claude Sonnet 4.6 Anthropic | 16,0 % | 113108–118 | 7 |
| 59 | Qwen3.7 Flash Alibaba | 15,0 % | 107103–112 | 4 datos insuficientes |
| 60 | GPT-4 (Jun 2023) OpenAI | 12,0 % | 5751–63 | 4 datos insuficientes |
| 61 | GPT-4o mini OpenAI | 12,0 % | 6864–73 | 9 |
| 62 | Qwen 3.6 Plus Alibaba | 12,0 % | 113109–117 | 7 datos insuficientes |
| 63 | GPT-5.4 Mini OpenAI | 11,0 % | 117113–120 | 8 |
| 64 | GPT-5 mini OpenAI | 10,0 % | 115112–118 | 11 |
| 65 | GPT-5 nano OpenAI | 9,0 % | 105102–109 | 10 |
| 66 | GPT-5.4 Nano OpenAI | 9,0 % | 118115–121 | 8 |
| 67 | Qwen3-235B-A22B-Thinking (Jul 2025)abierto Alibaba | 9,0 % | 111105–118 | 5 |
| 68 | GLM-5.3-Flashabierto Z.ai (Zhipu AI) | 8,0 % | 120117–124 | 7 |
| 69 | MiniMax-M3abierto MiniMax | 8,0 % | 108102–114 | 5 |
| 70 | GPT-4.1 mini OpenAI | 7,0 % | 9188–95 | 10 |
| 71 | GPT-6 Luna OpenAI | 7,0 % | 130127–133 | 8 |
| 72 | Qwen3.6 27Babierto Alibaba | 7,0 % | 115110–119 | 5 |
| 73 | o3-mini OpenAI | 7,0 % | 105101–108 | 9 |
| 74 | Inkling-Smallabierto Thinking Machines | 6,0 % | 118115–122 | 7 |
| 75 | Qwen3-Max Alibaba | 5,0 % | 106103–110 | 6 datos insuficientes |
| 76 | o4-mini OpenAI | 5,0 % | 112109–115 | 10 |
| 77 | GPT-3.5 Turbo (Jan 2024) OpenAI | 3,0 % | 4742–53 | 5 datos insuficientes |
| 78 | gpt-oss-120babierto OpenAI | 2,0 % | 10699–112 | 5 |
Fuentes de datos: Aider polyglot leaderboard data (Apache-2.0); Arena leaderboard dataset on Hugging Face (CC BY 4.0); Berkeley Function Calling Leaderboard, Gorilla project (Apache-2.0); Epoch AI, ‘Capabilities & benchmarking’ (CC BY 4.0); API list prices via LiteLLM's price table (MIT); each price links to the developer's pricing page; Source: OpenRouter (openrouter.ai), licensed under CC BY 4.0: reuse and republish with attribution to OpenRouter..