Benchmarks
Clasificación
Todos los modelos de texto activos a los que podemos llegar, con lo que tardan en responder y con qué frecuencia ganan un duelo. No se oculta nada: un modelo sin medir conserva su fila, y esa fila explica por qué.
- Caso normal
- Lo que tarda una respuesta corriente. La mitad de las llamadas volvió antes y la otra mitad después — así que es lo que cabe esperar en una petición normal.
- Caso lento
- Lo malo que se pone en un mal día. Aproximadamente una llamada de cada veinte es más lenta que esto. Un modelo con caso normal bajo pero caso lento alto es rápido hasta que deja de serlo.
- Tasa de victoria
- De 100 duelos frente a un modelo medio de esta tabla, cuántos gana este. 50 es la media, más alto es mejor. Se calcula con todas las comparaciones evaluadas, no con una puntuación suelta.
104 de 109 modelos medidos por completo · 0 cronometrados una vez · 0 a la espera de una primera pasada · 5 que no podemos medir.
Filtro:
| # | |||||||
|---|---|---|---|---|---|---|---|
| 1 | Qwen3-Coder-30B-A3B-InstructB | OVH AI Endpoints (GRA) | B | 82 ms | 84 ms | 55% | 2026-09-14 |
| 2 | Meta-Llama-3_3-70B-InstructB | OVH AI Endpoints (GRA) | B | 136 ms | 138 ms | 57% | 2026-09-14 |
| 3 | Qwen2.5-VL-72B-InstructB | OVH AI Endpoints (GRA) | B | 145 ms | 394 ms | 53% | 2026-09-14 |
| 4 | Mistral-Nemo-Instruct-2407C | OVH AI Endpoints (GRA) | C | 158 ms | 190 ms | 35% | 2026-09-14 |
| 5 | NVIDIA Nemotron Super 49B v1.5A | OpenRouter | A | 173 ms | 199 ms | sin comparar | 2026-07-17 |
| 6 | Mistral-Small-3.2-24B-Instruct-2506B | OVH AI Endpoints (GRA) | B | 174 ms | 691 ms | 54% | 2026-09-14 |
| 7 | MiniMax M2.5A | OpenRouter | A | 175 ms | 204 ms | sin comparar | 2026-09-14 |
| 8 | Llama 4 ScoutA | OpenRouter | A | 202 ms | 210 ms | sin comparar | 2026-09-14 |
| 9 | gpt-oss-120bC | OVH AI Endpoints (GRA) | C | 209 ms | 359 ms | 62% | 2026-09-14 |
| 10 | Nous Hermes 3 70BA | OpenRouter | A | 212 ms | 635 ms | sin comparar | 2026-09-14 |
| 11 | Mistral-7B-Instruct-v0.3C | OVH AI Endpoints (GRA) | C | 228 ms | 784 ms | 28% | 2026-09-14 |
| 12 | gpt-oss-20bC | OVH AI Endpoints (GRA) | C | 273 ms | 311 ms | 39% | 2026-09-14 |
| 13 | Qwen3.5-397B-A17BA | OVH AI Endpoints (GRA) | A | 320 ms | 400 ms | 23% | 2026-09-14 |
| 14 | Cohere Command-AA | OpenRouter | A | 402 ms | 755 ms | sin comparar | 2026-09-14 |
| 15 | gpt-4.1-mini-2025-04-14C | OpenAI | C | 446 ms | 455 ms | 69% | 2026-09-14 |
| 16 | gpt-4.1-nanoC | OpenAI | C | 488 ms | 604 ms | 57% | 2026-09-14 |
| 17 | gpt-5.4-mini-2026-03-17A | OpenAI | A | 516 ms | 562 ms | 66% | 2026-09-14 |
| 18 | Gemini 2.5 FlashA | Google Gemini | A | 518 ms | 543 ms | 14% | 2026-09-14 |
| 19 | Gemini 2.5 Flash-LiteB | Google Gemini | B | 532 ms | 2.8 s | 49% | 2026-09-14 |
| 20 | Qwen3.5-9BB | OVH AI Endpoints (GRA) | B | 538 ms | 729 ms | 21% | 2026-09-14 |
| 21 | Gemini 3.1 Flash LiteB | Google Gemini | B | 542 ms | 671 ms | 61% | 2026-09-14 |
| 22 | o1-2024-12-17C | OpenAI | C | 543 ms | 911 ms | 62% | 2026-09-14 |
| 23 | gpt-4.1B | OpenAI | B | 544 ms | 620 ms | 69% | 2026-09-14 |
| 24 | gpt-4o-2024-05-13C | OpenAI | C | 544 ms | 633 ms | 64% | 2026-09-14 |
| 25 | gpt-5.4-miniA | OpenAI | A | 548 ms | 1.1 s | 68% | 2026-09-14 |
| 26 | Llama 4 MaverickA | OpenRouter | A | 548 ms | 653 ms | sin comparar | 2026-09-14 |
| 27 | Qwen3-32BB | OVH AI Endpoints (GRA) | B | 548 ms | 622 ms | 23% | 2026-09-14 |
| 28 | gpt-4.1-nano-2025-04-14C | OpenAI | C | 550 ms | 601 ms | 61% | 2026-09-14 |
| 29 | gpt-4o-mini-2024-07-18C | OpenAI | C | 554 ms | 593 ms | 57% | 2026-09-14 |
| 30 | Claude Haiku 4.5A | Anthropic | A | 561 ms | 577 ms | 55% | 2026-09-14 |
| 31 | Gemini Flash-Lite LatestC | Google Gemini | C | 562 ms | 587 ms | 64% | 2026-09-14 |
| 32 | Llama 3.3 70B InstructA | OpenRouter | A | 567 ms | 870 ms | sin comparar | 2026-09-14 |
| 33 | gpt-4o-miniC | OpenAI | C | 570 ms | 636 ms | 61% | 2026-09-14 |
| 34 | gpt-4.1-miniC | OpenAI | C | 572 ms | 882 ms | 73% | 2026-09-14 |
| 35 | o3-miniC | OpenAI | C | 579 ms | 619 ms | 51% | 2026-09-14 |
| 36 | Qwen 2.5 VL 72B InstructA | OpenRouter | A | 582 ms | 638 ms | sin comparar | 2026-09-14 |
| 37 | gpt-3.5-turbo-0125C | OpenAI | C | 590 ms | 777 ms | 43% | 2026-09-14 |
| 38 | gpt-5.1B | OpenAI | B | 613 ms | 705 ms | 73% | 2026-09-14 |
| 39 | gpt-4o-2024-11-20C | OpenAI | C | 617 ms | 1.4 s | 62% | 2026-09-14 |
| 40 | Qwen 3.6 PlusA | OpenRouter | A | 622 ms | 863 ms | sin comparar | 2026-09-14 |
| 41 | gpt-5.4A | OpenAI | A | 646 ms | 696 ms | 69% | 2026-09-14 |
| 42 | gpt-5.4-nanoC | OpenAI | C | 668 ms | 687 ms | 53% | 2026-09-14 |
| 43 | gpt-4.1-2025-04-14C | OpenAI | C | 669 ms | 816 ms | 70% | 2026-09-14 |
| 44 | gpt-4o-2024-08-06C | OpenAI | C | 691 ms | 1.7 s | 62% | 2026-09-14 |
| 45 | Qwen 3.7 MaxA | OpenRouter | A | 742 ms | 837 ms | sin comparar | 2026-09-14 |
| 46 | gpt-5-nanoC | OpenAI | C | 755 ms | 777 ms | 24% | 2026-09-14 |
| 47 | o3-2025-04-16B | OpenAI | B | 765 ms | 1.1 s | 60% | 2026-09-14 |
| 48 | gpt-5.4-nano-2026-03-17A | OpenAI | A | 776 ms | 934 ms | 59% | 2026-09-14 |
| 49 | Claude Sonnet 4.5B | Anthropic | B | 782 ms | 838 ms | 60% | 2026-09-14 |
| 50 | o3C | OpenAI | C | 822 ms | sin medir | 61% | 2026-09-14 |
| 51 | Gemini 3 Flash PreviewC | Google Gemini | C | 834 ms | 859 ms | 42% | 2026-09-14 |
| 52 | Claude Opus 4.5B | Anthropic | B | 845 ms | 1.8 s | 63% | 2026-09-14 |
| 53 | Claude Opus 4.7B | Anthropic | B | 846 ms | 861 ms | 64% | 2026-09-14 |
| 54 | gpt-4-turboC | OpenAI | C | 849 ms | 966 ms | 59% | 2026-09-14 |
| 55 | gpt-5.4-2026-03-05B | OpenAI | B | 850 ms | 1.3 s | 68% | 2026-09-14 |
| 56 | gpt-5.2-2025-12-11B | OpenAI | B | 851 ms | 1.1 s | 70% | 2026-09-14 |
| 57 | gpt-5.1-2025-11-13B | OpenAI | B | 853 ms | 914 ms | 67% | 2026-09-14 |
| 58 | gpt-3.5-turbo-16kC | OpenAI | C | 884 ms | 1.6 s | 41% | 2026-09-14 |
| 59 | gpt-5-mini-2025-08-07B | OpenAI | B | 893 ms | 1.3 s | 47% | 2026-09-14 |
| 60 | gpt-5-2025-08-07B | OpenAI | B | 919 ms | 2.8 s | 40% | 2026-09-14 |
| 61 | Gemini 3.5 FlashA | Google Gemini | A | 925 ms | 1.4 s | 25% | 2026-09-14 |
| 62 | gpt-4-0613C | OpenAI | C | 925 ms | 1.4 s | 47% | 2026-09-14 |
| 63 | o4-miniC | OpenAI | C | 934 ms | 1.0 s | 60% | 2026-09-14 |
| 64 | o4-mini-2025-04-16B | OpenAI | B | 960 ms | 1.1 s | 60% | 2026-09-14 |
| 65 | gpt-4-turbo-2024-04-09C | OpenAI | C | 972 ms | 1.4 s | 60% | 2026-09-14 |
| 66 | DeepSeek v4 ProA | OpenRouter | A | 973 ms | 2.0 s | sin comparar | 2026-09-14 |
| 67 | Claude Opus 4.8A | Anthropic | A | 987 ms | 1.1 s | 58% | 2026-09-14 |
| 68 | o3-mini-2025-01-31C | OpenAI | C | 988 ms | 3.2 s | 59% | 2026-09-14 |
| 69 | gpt-4C | OpenAI | C | 993 ms | 1.0 s | 51% | 2026-09-14 |
| 70 | o1C | OpenAI | C | 1.0 s | 2.7 s | 63% | 2026-09-14 |
| 71 | Claude Sonnet 5A | Anthropic | A | 1.1 s | 1.4 s | 60% | 2026-09-14 |
| 72 | Qwen3.7 MaxA | Alibaba Cloud Qwen (DashScope Intl) | A | 1.1 s | 1.2 s | sin comparar | 2026-09-14 |
| 73 | Gemini Flash LatestB | Google Gemini | B | 1.1 s | 2.6 s | 34% | 2026-09-14 |
| 74 | Qwen3.7 PlusB | Alibaba Cloud Qwen (DashScope Intl) | B | 1.1 s | 1.3 s | sin comparar | 2026-09-14 |
| 75 | gpt-5C | OpenAI | C | 1.2 s | 1.2 s | 42% | 2026-09-14 |
| 76 | gpt-5.5C | OpenAI | C | 1.2 s | 1.7 s | 70% | 2026-09-14 |
| 77 | gpt-5-miniC | OpenAI | C | 1.2 s | 1.6 s | 50% | 2026-09-14 |
| 78 | Gemini 3.1 Pro Preview Custom ToolsC | Google Gemini | C | 1.3 s | 1.8 s | 22% | 2026-05-31 |
| 79 | Claude Opus 4.6B | Anthropic | B | 1.3 s | 1.5 s | 69% | 2026-09-14 |
| 80 | gpt-4oC | OpenAI | C | 1.3 s | 2.6 s | 65% | 2026-09-14 |
| 81 | Gemini 2.5 ProA | Google Gemini | A | 1.4 s | 1.9 s | 17% | 2026-09-14 |
| 82 | DeepSeek v3.2A | OpenRouter | A | 1.4 s | 2.1 s | sin comparar | 2026-09-14 |
| 83 | gpt-3.5-turbo-1106C | OpenAI | C | 1.4 s | 2.6 s | 47% | 2026-09-14 |
| 84 | gpt-5.2B | OpenAI | B | 1.4 s | 1.4 s | 69% | 2026-09-14 |
| 85 | GLM-4.5V (vision)A | Z.ai (GLM / Zhipu) | A | 1.5 s | 4.9 s | 31% | 2026-09-14 |
| 86 | gpt-5-search-apiC | OpenAI | C | 1.5 s | 2.0 s | 64% | 2026-09-14 |
| 87 | gpt-5-search-api-2025-10-14B | OpenAI | B | 1.5 s | 2.7 s | 64% | 2026-09-14 |
| 88 | gpt-3.5-turboC | OpenAI | C | 1.6 s | 2.4 s | 41% | 2026-09-14 |
| 89 | Claude Opus 5A | Anthropic | A | 1.9 s | 2.6 s | 50% | 2026-09-14 |
| 90 | Gemini 3.1 Pro PreviewC | Google Gemini | C | 2.0 s | 2.3 s | 21% | 2026-09-14 |
| 91 | GLM-4.5 AirB | Z.ai (GLM / Zhipu) | B | 2.0 s | 2.7 s | 37% | 2026-09-14 |
| 92 | GLM-4.6V (vision)A | Z.ai (GLM / Zhipu) | A | 2.0 s | 2.4 s | 26% | 2026-09-14 |
| 93 | Gemini Pro LatestC | Google Gemini | C | 2.1 s | sin medir | 20% | 2026-09-14 |
| 94 | gpt-5.5-2026-04-23A | OpenAI | A | 2.1 s | 4.1 s | 73% | 2026-09-14 |
| 95 | GLM-4.5A | Z.ai (GLM / Zhipu) | A | 2.2 s | 3.0 s | 66% | 2026-09-14 |
| 96 | Claude Sonnet 4.6A | Anthropic | A | 2.2 s | 2.3 s | 61% | 2026-09-14 |
| 97 | gpt-5-nano-2025-08-07B | OpenAI | B | 2.5 s | 4.3 s | 30% | 2026-09-14 |
| 98 | GLM-5A | Z.ai (GLM / Zhipu) | A | 2.7 s | 2.7 s | 63% | 2026-09-14 |
| 99 | Claude Fable 5A | Anthropic | A | 2.9 s | 3.2 s | 63% | 2026-09-14 |
| 100 | GLM-5.2A | Z.ai (GLM / Zhipu) | A | 3.1 s | 3.2 s | 37% | 2026-09-14 |
| 101 | GLM-4.6A | Z.ai (GLM / Zhipu) | A | 4.2 s | 26.7 s | 31% | 2026-09-14 |
| 102 | GLM-5.1A | Z.ai (GLM / Zhipu) | A | 4.3 s | 6.2 s | 37% | 2026-09-14 |
| 103 | GLM-4.7A | Z.ai (GLM / Zhipu) | A | 4.4 s | 4.4 s | 68% | 2026-09-14 |
| 104 | GLM-5 TurboB | Z.ai (GLM / Zhipu) | B | 5.8 s | 7.5 s | 38% | 2026-09-14 |
| · | Deep Research Max Preview (Apr-21-2026)B | Google Gemini | B | No se puede medir — responde por otra API | sin medir | sin comparar | — |
| · | Deep Research Preview (Apr-21-2026)B | Google Gemini | B | No se puede medir — responde por otra API | sin medir | sin comparar | — |
| · | Deep Research Pro Preview (Dec-12-2025)B | Google Gemini | B | No se puede medir — responde por otra API | sin medir | sin comparar | — |
| · | Gemini 2.5 Computer Use Preview 10-2025B | Google Gemini | B | No se puede medir — responde por otra API | sin medir | sin comparar | — |
| · | gpt-5.6-terra | Azure OpenAI (EU - Sweden) | sin nivel | No se puede medir — sin sonda para este proveedor | sin medir | sin comparar | — |
109 de 109 modelos · pulse una columna para ordenar
«No se puede medir» significa que el modelo no responde por la API de chat que cronometramos, o que su proveedor usa un protocolo que nuestra sonda todavía no habla. Esperar no lo arreglará.
Rápido (menos de 500 ms)
Medio (500–1000 ms)
Lento (más de 1000 ms)
Medido cuatro veces al día (02:00, 08:00, 14:00, 20:00 UTC) desde Ámsterdam.