Ranking de modelos de lenguaje (LLM) - Comparación de modelos de IA de OpenAI, Anthropic, Google, SpaceXAI y otros
Comparación y ranking del rendimiento de más de 250 modelos de IA (LLM) en métricas clave como inteligencia, precio, rendimiento y velocidad (tiempo por tarea en minutos y latencia como tiempo hasta el primer token de respuesta), ventana de contexto y otras.
Para más detalles, incluso sobre nuestra metodología, consulta nuestras preguntas frecuentes.
Inteligencia
Gemini 4 Carbon (high) y Claude Opus 5.5 (max) son los modelos con mayor inteligencia, seguidos por Gemini 4 Carbon (medium) y Claude Opus 5.5 (xhigh).
Tiempo por tarea
GPT-6 Luna (low) y GPT-6.1 Terra (low) tienen el menor tiempo por tarea, seguidos por Mistral Small 4 y Gemini 3.5 Flash-Lite.
Tiempo hasta el primer token de respuesta
Tiny Aya Global y Phi-4 Multimodal tienen el menor tiempo hasta el primer token de respuesta, seguidos por NVIDIA Nemotron Nano 9B V2 y Nemotron 3 Nano (non-reasoning).
Costo por tarea
K2 Horizon 375B A23B y Command A+ tienen el menor costo por tarea, seguidos por North Mini Code y GPT-6 Luna (low).
Ventana de contexto
Llama 4 Scout y GPT-6 Sol (Daybreak Blue, max) admiten las ventanas de contexto más grandes, seguidos por Muse Wonder (max) y Muse Wonder (high).
Análisis adicional | |||||||
|---|---|---|---|---|---|---|---|
Gemini 4 Carbon (high) | 1M | Google | 60 | $7.76 | 28.7 | 73.48 | |
Claude Opus 5.5 (max) | 1M | Anthropic | 59 | $10.04 | 25.4 | 415.35 | |
Gemini 4 Carbon (medium) | 1M | Google | 58 | $6.59 | 25.2 | 29.19 | |
Claude Opus 5.5 (xhigh) | 1M | Anthropic | 57 | $6.05 | 16.3 | 93.90 | |
GPT-6 Astra (max) | 1M | OpenAI | 57 | $6.24 | 22.2 | 267.02 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 55 | $3.66 | 11.6 | 119.18 | |
GPT-6 Astra (high) | 1M | OpenAI | 55 | $3.24 | 9.8 | 72.37 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 55 | $1.27 | 19.9 | 176.93 | |
Claude Sonnet 5.5 (max) | 1M | Anthropic | 55 | $10.02 | 31.5 | 310.29 | |
Gemini 4 Carbon (low) | 1M | Google | 54 | $7.19 | 23.9 | 8.14 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 52 | $0.76 | 9.2 | 70.31 | |
Claude Opus 5.5 (high) | 1M | Anthropic | 52 | $3.46 | 9.6 | 31.89 | |
GPT-6 Astra (medium) | 1M | OpenAI | 52 | $2.73 | 6.9 | 6.14 | |
GPT-6.1 Terra (max) | 1M | OpenAI | 51 | $0.96 | 13.5 | 161.28 | |
Gemini 4 Argon (high) | 1M | Google | 50 | $9.95 | 29.1 | 37.81 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.59 | 6.5 | 36.93 | |
Muse Wonder Full (max) | 1M | Meta | 50 | -- | -- | -- | |
Claude Fable 5.1 (xhigh) | 1M | Anthropic | 50 | $10.85 | 19.1 | 66.43 | |
Claude Sonnet 5.5 (xhigh) | 1M | Anthropic | 50 | $4.09 | 15.3 | 27.39 | |
Claude Fable 5.1 (max) | 1M | Anthropic | 49 | $12.99 | 22.7 | 185.18 | |
Claude Opus 5.5 (medium) | 1M | Anthropic | 48 | $2.45 | 7.2 | 14.82 | |
Claude Fable 5.1 (high) | 1M | Anthropic | 47 | $7.54 | 13.2 | 14.39 | |
Kimi K3.1 Pro | 1M |  Kimi | 46 | $3.68 | 38.1 | 181.49 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 46 | $0.36 | 3.8 | 4.36 | |
GPT-6.1 Terra (xhigh) | 1M | OpenAI | 45 | $0.40 | 6.0 | 30.82 | |
Muse Wonder (max) | 1M | Meta | 44 | $6.95 | 13.0 | 22.33 | |
GPT-6 Astra (low) | 1M | OpenAI | 43 | $1.42 | 3.6 | 3.30 | |
Claude Fable 5.1 (medium) | 1M | Anthropic | 43 | $5.56 | 9.7 | 10.31 | |
GPT-6.1 Terra (high) | 1M | OpenAI | 42 | $0.26 | 4.0 | 10.80 | |
Claude Sonnet 5.5 (high) | 1M | Anthropic | 42 | $1.64 | 7.2 | 9.33 | |
Muse Wonder (high) | 1M | Meta | 41 | $4.56 | 9.1 | 8.75 | |
Claude Fable 5.1 (low) | 1M | Anthropic | 39 | $4.47 | 7.4 | 6.86 | |
GPT-6.1 Terra (medium) | 1M | OpenAI | 38 | $0.17 | 2.6 | 4.22 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 36 | $0.41 | 16.2 | 187.49 | |
Grok 4.7 (xhigh) | 500k |  SpaceXAI | 35 | $7.77 | 25.7 | 56.07 | |
Grok 4.7 (high) | 500k | SpaceXAI | 35 | $6.18 | 21.7 | 34.96 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 35 | $0.16 | 1.8 | 2.46 | |
Claude Opus 5.5 (low) | 1M | Anthropic | 35 | $0.98 | 3.1 | 6.47 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 35 | $0.25 | 9.7 | 54.45 | |
Tencent Hy4 | 1M |  Tencent | 35 | $1.03 | 13.9 | 103.27 | |
Qwen3.8 Max (0902) | 984k |  Alibaba | 34 | $10.02 | 61.9 | 119.75 | |
DeepSeek V4.1 Flash 1017 (max) | 1M |  DeepSeek | 33 | $0.60 | 16.1 | 53.85 | |
GLM-5.3 (max) | 1M |  Z AI | 32 | $5.01 | 29.2 | 81.53 | |
Grok 4.7 (low) | 500k | SpaceXAI | 31 | $2.92 | 10.7 | 12.48 | |
Gemini 3.8 Flash (high) | 1M | Google | 31 | $7.77 | 14.9 | 17.02 | |
Claude Sonnet 5.5 (medium) | 1M | Anthropic | 31 | $0.78 | 3.7 | 4.26 | |
Inkling 2 Small | 1M |  Thinking Machines | 31 | $1.18 | 15.8 | 29.02 | |
GPT-6.1 Terra (non-reasoning) | 1M | OpenAI | 31 | $0.23 | 2.2 | 1.63 | |
Gemini 3.8 Flash (medium) | 1M | Google | 30 | $6.26 | 12.0 | 10.86 | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 30 | $0.26 | 39.2 | 25.31 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 30 | $0.16 | 6.5 | 21.06 | |
Ling 3.1 Flash 1019 | 1M |  InclusionAI | 30 | $3.19 | -- | -- | |
GPT-6.1 Terra (low) | 1M | OpenAI | 29 | $0.07 | 1.1 | 2.17 | |
MiniMax-M3.1-Flash | 1M |  MiniMax | 29 | $0.49 | 14.2 | 50.12 | |
DeepSeek V4.1 Flash 1017 (high) | 1M | DeepSeek | 29 | $0.46 | 12.5 | 24.70 | |
Step 5 Preview | 1M |  StepFun | 29 | $2.35 | 13.9 | 20.82 | |
GPT-6 Luna (max) | 1M | OpenAI | 28 | $0.15 | 12.4 | 94.72 | |
GLM-5.3-Flash | 1M | Z AI | 28 | $0.58 | 45.3 | 94.96 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 27 | $0.13 | 62.2 | 46.94 | |
Mistral Large 4 (high) | 1M | Mistral | 26 | $2.06 | 12.3 | 31.54 | |
Claude Sonnet 5.5 (low) | 1M | Anthropic | 26 | $0.51 | 2.6 | 2.40 | |
Muse Spark Open (xhigh) | 1M | Meta | 25 | $2.02 | 5.8 | 10.46 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 25 | $0.09 | 4.1 | 10.07 | |
Agnes 2.5 Pro Theta | 1M |  Sapiens AI | 24 | $2.46 | 22.2 | 23.45 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 23 | $0.10 | 7.2 | 23.61 | |
Mistral Large 4 (medium) | 1M | Mistral | 23 | $1.41 | 8.8 | 20.52 | |
GLM-5.3 (low) | 1M | Z AI | 23 | $1.57 | 15.9 | 13.04 | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 23 | $1.77 | 24.6 | 78.19 | |
Gemini 3.8 Flash (low) | 1M | Google | 23 | -- | -- | 3.74 | |
GPT-6 Luna (high) | 1M | OpenAI | 21 | $0.07 | 5.7 | 11.95 | |
Nanbeige4.3-33B | 524k |  Nanbeige | 20 | -- | -- | -- | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 20 | $3.53 | 40.3 | 122.28 | |
MiniMax-M3 | 1M | MiniMax | 19 | $1.29 | 11.9 | 73.00 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 19 | $0.04 | 2.2 | 6.79 | |
DeepSeek V4.1 Flash 1017 (non-reasoning) | 1M | DeepSeek | 19 | $0.43 | 8.5 | 1.32 | |
GPT-6 Luna (medium) | 1M | OpenAI | 18 | $0.04 | 3.4 | 5.53 | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 18 | $0.00 | 5.7 | 28.41 | |
Beam 1.0 | 1M |  Reflection | 18 | $0.28 | 2.3 | 7.41 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 17 | $2.16 | 32.9 | 32.66 | |
Qwen3.8 27B (low) | 256k | Alibaba | 16 | $1.91 | 28.4 | 18.53 | |
Nemotron 3.5 Super VL | 1M | NVIDIA | 14 | $0.52 | 5.6 | 14.49 | |
Inkling Small | 1M | Thinking Machines | 13 | $0.20 | 8.3 | 30.26 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | 13 | $0.98 | 16.8 | 3.58 | |
Inkling (xhigh) | 1M | Thinking Machines | 12 | $1.35 | 8.1 | 17.51 | |
Nemotron 3 Ultra | 262k | NVIDIA | 12 | $2.23 | 4.8 | 4.08 | |
Gemini 3.5 Flash-Lite | 1M | Google | 12 | $0.69 | 1.7 | 4.08 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 10 | $3.77 | 18.5 | 5.30 | |
GPT-6 Luna (low) | 1M | OpenAI | 10 | $0.01 | 0.6 | 2.50 | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 9 | $0.07 | 2.1 | 1.15 | |
K-EXAONE 2.0 | 262k |  LG AI Research | 8 | -- | -- | -- | |
Muse Glimmer (high) | 131k | Meta | 6 | $0.16 | 4.5 | 17.50 | |
Command A+ | 192k | Cohere | 6 | $0.00 | 3.1 | 14.59 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 6 | $0.29 | 4.2 | 13.37 | |
Granite 4.2 8B | 131k |  IBM | 5 | $0.04 | 8.7 | 38.63 | |
Granite 4.2 3B | 131k | IBM | 5 | -- | -- | -- | |
Mistral Medium 3.5 | 256k | Mistral | 5 | $1.04 | 4.9 | 26.82 | |
Gemma 4 31B | 256k | Google | 4 | -- | -- | 64.39 | |
Mistral Small 4 | 256k | Mistral | 4 | $0.04 | 1.6 | 13.28 | |
North Mini Code | 256k | Cohere | 3 | $0.00 | 3.3 | 7.72 | |
Nemotron 3 Nano 4B | 262k | NVIDIA | 2 | -- | -- | -- | |
JT-35B-Flash | 256k |  China Mobile | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | -- | -- | -- | 2.84 | |
Nova 2.0 Omni (medium) | 1M |  Amazon | -- | -- | -- | -- | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 4.50 | |
Gemma 4 12B (non-reasoning) | 262k | Google | -- | -- | -- | 3.88 | |
Gemma 3 270M | 32k | Google | -- | -- | -- | -- | |
Apodex 1.1 | 256k |  Apodex | -- | -- | -- | 14.84 | |
Qwen3.5 2B (non-reasoning) | 262k | Alibaba | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 66k | Alibaba | -- | -- | -- | 1.30 | |
Nova 2.0 Pro Preview (medium) | 256k | Amazon | -- | -- | -- | 12.36 | |
Qwen3.5 397B A17B | 262k | Alibaba | -- | -- | -- | 40.04 | |
Granite 4.2 30B | 131k | IBM | -- | -- | -- | -- | |
K2 Horizon 7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | -- | -- | -- | 1.77 | |
Solar Pro 4 | 512k |  Upstage | -- | -- | -- | 42.41 | |
gpt-oss-20b (low) | 131k | OpenAI | -- | -- | -- | 3.44 | |
o3 | 200k | OpenAI | -- | -- | -- | 5.51 | |
Nova 2.0 Omni (non-reasoning) | 1M | Amazon | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | -- | -- | -- | -- | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 1.02 | |
Qwen3.5 122B A10B | 262k | Alibaba | -- | -- | -- | 19.14 | |
Hermes 4 70B (non-reasoning) | 128k |  Nous Research | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | -- | -- | -- | 0.91 | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | -- | 1.47 | |
Phi-4 Multimodal | 128k | Microsoft | -- | -- | -- | 0.37 | |
Qwen3.5 9B | 262k | Alibaba | -- | -- | -- | 38.38 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | -- | -- | -- | 1.15 | |
EXAONE 4.0 32B (non-reasoning) | 131k | LG AI Research | -- | -- | -- | -- | |
G9v3-3B | 131k |  AI9Stars | -- | -- | -- | -- | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 1.38 | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 2.63 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Olmo 3 7B Think | 66k |  Allen Institute for AI | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | -- | -- | -- | -- | |
HyperNova 60B 2605 (high) | 131k |  Multiverse Computing | -- | -- | -- | -- | |
Nova Micro | 130k | Amazon | -- | -- | -- | 1.33 | |
EXAONE 4.5 33B (non-reasoning) | 262k | LG AI Research | -- | -- | -- | -- | |
INTELLECT-3 | 131k |  Prime Intellect | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | -- | -- | -- | 38.52 | |
Olmo 3.1 32B Think | 66k | Allen Institute for AI | -- | -- | -- | -- | |
Nex-N2-Pro | 262k |  Nex AGI | -- | -- | -- | -- | |
Command A | 256k | Cohere | -- | -- | -- | 10.32 | |
LFM2.5-VL-1.6B | 32k |  Liquid AI | -- | -- | -- | -- | |
JT-MINI | 128k | China Mobile | -- | -- | -- | -- | |
Molmo2-8B | 37k | Allen Institute for AI | -- | -- | -- | -- | |
Qwen3.5 0.8B (non-reasoning) | 262k | Alibaba | -- | -- | -- | -- | |
Ling-3.0-flash-VL | 262k | InclusionAI | -- | -- | -- | -- | |
MiniCPM-V 4.6 1.3B | 262k |  OpenBMB | -- | -- | -- | -- | |
EXAONE 4.0 32B | 131k | LG AI Research | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | -- | -- | -- | 7.40 | |
Llama 3.1 405B | 128k | Meta | -- | -- | -- | -- | |
JT-4.1 Flash 236B A21B | 262k | China Mobile | -- | -- | -- | -- | |
Ring-flash-2.0 | 128k | InclusionAI | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | -- | -- | -- | -- | |
Apertus 70B Instruct | 66k |  Swiss AI Initiative | -- | -- | -- | -- | |
Doubao Seed Code | 256k |  ByteDance Seed | -- | -- | -- | -- | |
EXAONE 4.5 33B | 262k | LG AI Research | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | -- | -- | -- | 1.58 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | -- | -- | -- | -- | |
Granite 4.0 350M | 33k | IBM | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | -- | -- | -- | -- | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | -- | -- | -- | 45.20 | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | -- | -- | -- | -- | |
K2 Think V2 | 262k | Institute of Foundation Models | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | -- | -- | -- | 35.54 | |
Qwen3.5 2B | 262k | Alibaba | -- | -- | -- | -- | |
Tri-21B-Think | 32k |  Trillion Labs | -- | -- | -- | -- | |
Granite 4.0 H Small | 128k | IBM | -- | -- | -- | -- | |
Llama 3.2 11B (Vision) | 128k | Meta | -- | -- | -- | 4.24 | |
LongCat Flash Lite | 256k | LongCat | -- | -- | -- | -- | |
Nemotron 3.5 Bolt E4B 4GB | 131k | NVIDIA | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | -- | -- | -- | 17.90 | |
Solar Mini 4 | 1M | Upstage | -- | -- | -- | 59.56 | |
MiniCPM5-2B | 131k | OpenBMB | -- | -- | -- | -- | |
Qwen3.5 4B | 262k | Alibaba | -- | -- | -- | 113.15 | |
Motif-2-12.7B | 128k |  Motif Technologies | -- | -- | -- | -- | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | -- | -- | -- | 3.20 | |
Ministral 3 3B | 256k | Mistral | -- | -- | -- | 1.51 | |
Hermes 4 70B | 128k | Nous Research | -- | -- | -- | -- | |
Ling-3.0-flash-Fin | 262k | InclusionAI | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | -- | -- | -- | 23.99 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | -- | -- | -- | -- | |
Qwen3.5 Omni Flash | 256k | Alibaba | -- | -- | -- | 2.96 | |
Nova 2.0 Lite (low) | 1M | Amazon | -- | -- | -- | 8.40 | |
Magistral Small 1.2 | 128k | Mistral | -- | -- | -- | 2.95 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | -- | -- | -- | 1.54 | |
Ministral 3 14B | 256k | Mistral | -- | -- | -- | 2.54 | |
Gemma 4 E2B (non-reasoning) | 128k | Google | -- | -- | -- | -- | |
Sarvam 30B (high) | 66k | Sarvam | -- | -- | -- | -- | |
Mercury 2.5 | 260k |  Inception | -- | -- | -- | 2.38 | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | -- | -- | -- | 1.56 | |
Nemotron 3 Nano | 1M | NVIDIA | -- | -- | -- | 7.21 | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | -- | -- | -- | 59.21 | |
MiniCPM5-1B | 128k | OpenBMB | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | -- | -- | -- | -- | |
Nemotron 3.5 Bolt 74B-A9B | 262k | NVIDIA | -- | -- | -- | -- | |
Nanbeige4.1-3B | 256k | Nanbeige | -- | -- | -- | -- | |
Solar Open2 250B | 1M | Upstage | -- | -- | -- | -- | |
Ling 3.0 Tiny | 262k | InclusionAI | -- | -- | -- | 22.75 | |
Celeris-1 | 131k |  Celeris | -- | -- | -- | 1.35 | |
Tiny Aya Global | 8k | Cohere | -- | -- | -- | 0.22 | |
A.X-K2 | 262k |  SK Telecom | -- | -- | -- | -- | |
Exaone 4.0 1.2B (non-reasoning) | 64k | LG AI Research | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | -- | -- | -- | 19.00 | |
Magistral Medium 1.2 | 128k | Mistral | -- | -- | -- | -- | |
Qwen3.6 35B A3B | 262k | Alibaba | -- | -- | -- | 19.90 | |
Apertus 8B Instruct | 66k | Swiss AI Initiative | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | -- | -- | -- | 16.00 | |
Kimi K2.7 Code | 256k | Kimi | -- | -- | -- | 34.34 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | -- | -- | -- | 128.53 | |
Olmo 3 7B | 66k | Allen Institute for AI | -- | -- | -- | -- | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | -- | -- | -- | -- | |
Llama 4 Maverick | 1M | Meta | -- | -- | -- | 1.37 | |
GPT-6 Sol (Daybreak Blue, max) | 1M | OpenAI | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 66k | Allen Institute for AI | -- | -- | -- | -- | |
Ministral 3 8B | 256k | Mistral | -- | -- | -- | 2.12 | |
Llama 3.3 70B | 128k | Meta | -- | -- | -- | 1.75 | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | -- | -- | -- | -- | |
Qwen3.8-Flash-Next | 256k | Alibaba | -- | -- | -- | 101.84 | |
Llama 3.2 90B (Vision) | 128k | Meta | -- | -- | -- | -- | |
K2 Horizon 0.9B | 131k | Institute of Foundation Models | -- | -- | -- | -- | |
Phi-4 Mini | 128k | Microsoft | -- | -- | -- | 4.51 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | -- | -- | -- | 1.41 | |
K2-V2 (high) | 512k | Institute of Foundation Models | -- | -- | -- | -- | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | -- | -- | -- | -- | |
Ling 3.1 Flash | 1M | InclusionAI | -- | -- | -- | 37.76 | |
Granite 4.0 H 350M | 33k | IBM | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | -- | -- | -- | -- | |
Qwen3.7 Plus | 1M | Alibaba | -- | -- | -- | 42.09 | |
DeepHermes 3 - Mistral 24B (non-reasoning) | 32k | Nous Research | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | -- | -- | -- | 1.62 | |
Step3 VL 10B | 66k | StepFun | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | -- | -- | -- | 1.13 | |
ERNIE 4.5 300B A47B | 131k | Baidu | -- | -- | -- | -- | |
Molmo 7B-D | 4k | Allen Institute for AI | -- | -- | -- | -- | |
Motif 3 | 262k | Motif Technologies | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | -- | -- | -- | -- | |
Hy3 | 256k | Tencent | -- | -- | -- | 47.43 | |
Nova 2.0 Omni (low) | 1M | Amazon | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | -- | -- | -- | -- | |
Trinity Large Thinking | 512k |  Arcee AI | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B (non-reasoning) | 128k | Nous Research | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 66k | Alibaba | -- | -- | -- | 23.47 | |
Gemini 3.1 Pro Preview | 1M | Google | -- | -- | -- | 16.01 | |
G9v3-39A5B | 131k | AI9Stars | -- | -- | -- | -- | |
DiffusionGemma 26B A4B | 256k | Google | -- | -- | -- | -- | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | -- | -- | -- | 1.38 | |
Falcon-H1R-7B | 256k |  TII UAE | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | -- | -- | -- | -- | |
gpt-oss-120b (low) | 131k | OpenAI | -- | -- | -- | 2.20 | |
Llama Nemotron Ultra | 128k | NVIDIA | -- | -- | -- | -- | |
Gemma 4 31B (non-reasoning) | 256k | Google | -- | -- | -- | 3.90 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | -- | -- | -- | -- | |
Hermes 4 405B (non-reasoning) | 128k | Nous Research | -- | -- | -- | 5.16 | |
Exaone 4.0 1.2B | 64k | LG AI Research | -- | -- | -- | -- | |
Gemma 4 E4B | 128k | Google | -- | -- | -- | 49.13 | |
K2-V2 (low) | 512k | Institute of Foundation Models | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | -- | -- | -- | 8.27 | |
K2-V2 (medium) | 512k | Institute of Foundation Models | -- | -- | -- | -- | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | -- | -- | -- | -- | |
LFM2.5-2.6B | 128k | Liquid AI | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 33k | Liquid AI | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | |
Ring-2.6-1T | 262k | InclusionAI | -- | -- | -- | 8.76 | |
Phi-4 | 16k | Microsoft | -- | -- | -- | 2.47 | |
gpt-oss-120b (high) | 131k | OpenAI | -- | -- | -- | 15.21 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | -- | -- | -- | 0.80 | |
Agnes 2.5 Pro Beta | 1M | Sapiens AI | -- | -- | -- | -- | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | -- | -- | -- | 6.33 | |
Jamba Reasoning 3B | 262k | AI21 Labs | -- | -- | -- | -- | |
Quasar 438B (max) | 1M | Multiverse Computing | -- | -- | -- | -- | |
LFM2 24B A2B | 33k | Liquid AI | -- | -- | -- | -- | |
Nova 2.0 Lite (medium) | 1M | Amazon | -- | -- | -- | 20.39 | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | -- | -- | -- | -- | |
Qwen3 Coder Next | 256k | Alibaba | -- | -- | -- | 1.34 | |
Gemma 4 12B | 262k | Google | -- | -- | -- | 26.77 | |
Definiciones clave
Preguntas frecuentes
Gemini 4 Carbon (High) ocupa actualmente el puesto #1 en el ranking de modelos LLM de Artificial Analysis, con una puntuación de 60 en el Intelligence Index, entre 100 modelos clasificados.
Los mejores modelos según el Intelligence Index son: 1. Gemini 4 Carbon (High) (60), 2. Claude Opus 5.5 (Max, Default Fallback) (59), 3. Gemini 4 Carbon (Medium) (58), 4. Claude Opus 5.5 (Xhigh, Default Fallback) (57), 5. GPT-6 Astra (Max) (57).
GPT-6 Luna (Low) es el más rápido, con el menor tiempo por tarea: 0.6 minutos por tarea del Intelligence Index, seguido de GPT-6.1 Terra (Low) (1.1 min) y Mistral Small 4 (Reasoning) (1.6 min). Cuanto menor, mejor.
K2 Horizon 375B A23B tiene el menor costo por tarea del Intelligence Index con $0.00, seguido por Command A+ ($0.00) y North Mini Code ($0.00).
Kimi K3.1 Pro es el modelo con pesos abiertos mejor clasificado, con una puntuación de 46 en el Intelligence Index. Hay 40 modelos con pesos abiertos de un total de 100 en el ranking.
Los mejores modelos con pesos abiertos según el Intelligence Index son: 1. Kimi K3.1 Pro (46), 2. DeepSeek V4.1 Flash 1017 (Max) (33), 3. GLM-5.3 (Max) (32).
Gemini 4 Carbon (High) lidera entre 95 modelos de razonamiento, con una puntuación de 60 en el Intelligence Index. Los modelos de razonamiento usan pensamiento extendido para resolver problemas complejos antes de responder.
El ranking incluye filtros para limitar los resultados por tipo de modelo (razonamiento o no razonamiento), apertura (pesos abiertos o propietario) y otros criterios.
Haz clic en cualquier nombre de modelo en la clasificación para visitar su página de comparación dedicada, con gráficos detallados sobre inteligencia, precios, velocidad, latencia y más. También puedes comparar proveedores de API para cada modelo. Ver todos los modelos