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 (velocidad de salida - tokens por segundo y latencia - TTFT), ventana de contexto y otras.
Para más detalles, incluso sobre nuestra metodología, consulta nuestras preguntas frecuentes.
Inteligencia
Claude Opus 5 (max) y Claude Opus 5 (xhigh) son los modelos con mayor inteligencia, seguidos por Claude Fable 5 (with fallback) y GPT-5.6 Sol (max).
Velocidad de salida
Mercury 2 y Gemini 3.5 Flash-Lite son los modelos más rápidos, seguidos por LFM2.5-VL-1.6B y Step 3.7 Flash.
Latencia
Gemini 2.5 Flash-Lite y Command A+ son los modelos con menor latencia, seguidos por North Mini Code y Gemini 2.5 Flash.
Costo por tarea
Llama 4 Scout y MiMo-V2.5 tienen el menor costo por tarea, seguidos por gpt-oss-120b (low) y NVIDIA Nemotron 3 Nano.
Ventana de contexto
Llama 4 Scout y Grok 4.20 0309 admiten las ventanas de contexto más grandes, seguidos por Gemini 1.5 Pro (May) y Grok 4.1 Fast.
Análisis adicional | ||||||||
|---|---|---|---|---|---|---|---|---|
Claude Opus 5 (max) | 1M | Anthropic | 61 | $2.03 | 55 | 69.71 | 78.81 | |
Claude Opus 5 (xhigh) | 1M | Anthropic | 60 | $1.56 | 53 | 40.62 | 49.99 | |
Claude Fable 5 (with fallback) | 1M | Anthropic | 60 | $2.75 | 72 | 184.00 | 190.93 | |
GPT-5.6 Sol (max) | 1M | OpenAI | 59 | $1.54 | 81 | 130.03 | 136.23 | |
Claude Opus 5 (high) | 1M | Anthropic | 59 | $1.06 | 57 | 22.29 | 31.10 | |
GPT-5.6 Sol (xhigh) | 1M | OpenAI | 58 | $0.95 | 82 | 44.90 | 51.02 | |
Kimi K3 | 1.05M |  Kimi | 57 | $0.72 | 33 | 148.54 | 223.66 | |
Claude Opus 5 (medium) | 1M | Anthropic | 56 | $0.62 | 52 | 5.98 | 15.60 | |
GPT-5.6 Sol (high) | 1M | OpenAI | 56 | $0.62 | 78 | 12.48 | 18.92 | |
Claude Opus 4.8 (max) | 1M | Anthropic | 56 | $1.80 | 56 | 30.95 | 39.87 | |
GPT-5.6 Terra (max) | 1M | OpenAI | 55 | $0.82 | 137 | 172.72 | 176.36 | |
Grok 4.5 (high) | 500k | SpaceXAI | 54 | $0.35 | 58 | 8.79 | 17.37 | |
GPT-5.6 Sol (medium) | 1M | OpenAI | 54 | $0.41 | 74 | 4.92 | 11.67 | |
Claude Sonnet 5 (max) | 1M | Anthropic | 53 | $1.53 | 74 | 174.30 | 181.03 | |
GPT-5.6 Terra (xhigh) | 1M | OpenAI | 52 | $0.48 | 134 | 20.06 | 23.79 | |
GPT-5.6 Luna (max) | 1M | OpenAI | 51 | $0.28 | 195 | 127.85 | 130.42 | |
GLM-5.2 (max) | 1M |  Z AI | 51 | $0.32 | 225 | 1.31 | 12.41 | |
Muse Spark 1.1 (xhigh) | 1.05M | Meta | 51 | $0.26 | 129 | 1.46 | 20.88 | |
Claude Opus 5 (low) | 1M | Anthropic | 51 | $0.36 | 52 | 3.66 | 13.23 | |
Gemini 3.5 Flash | 1M | Google | 50 | $0.59 | 188 | 28.40 | 31.07 | |
Gemini 3.6 Flash | 1M | Google | 50 | $0.50 | 240 | 18.83 | 20.92 | |
GPT-5.6 Sol (low) | 1M | OpenAI | 49 | $0.24 | 72 | 3.09 | 10.06 | |
GPT-5.6 Luna (xhigh) | 1M | OpenAI | 49 | $0.18 | 178 | 31.90 | 34.71 | |
GPT-5.6 Terra (high) | 1M | OpenAI | 49 | $0.34 | 125 | 2.16 | 6.17 | |
Gemini 3.1 Pro Preview | 1M | Google | 46 | $0.29 | 127 | 42.32 | 46.25 | |
GPT-5.6 Luna (high) | 1M | OpenAI | 46 | $0.12 | 185 | 9.07 | 11.77 | |
Qwen3.7 Max | 1M |  Alibaba | 46 | $1.03 | 201 | 2.54 | 16.98 | |
GPT-5.6 Terra (medium) | 1M | OpenAI | 46 | $0.18 | 118 | 1.62 | 5.85 | |
Gemini 3.5 Flash (medium) | 1M | Google | 45* | -- | 195 | 23.05 | 25.61 | |
MiniMax-M3 | 1M |  MiniMax | 44 | $0.12 | 83 | 1.61 | 31.72 | |
DeepSeek V4 Pro (max) | 1M |  DeepSeek | 44 | $0.04 | 71 | 1.54 | 69.85 | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | 44* | -- | 138 | 65.95 | 69.58 | |
Motif 3 (Beta) | 262k |  Motif Technologies | 44 | -- | -- | -- | -- | |
DeepSeek V4 Pro (high) | 1M | DeepSeek | 43 | $0.04 | 71 | 1.57 | 36.45 | |
Muse Spark | 262k | Meta | 43 | -- | -- | -- | -- | |
Claude Opus 4.7 (Non-reasoning, high) | 1M | Anthropic | 43* | -- | 44 | 1.90 | 13.14 | |
MiMo-V2.5-Pro | 1M | Xiaomi | 42 | $0.06 | 67 | 2.75 | 40.19 | |
Kimi K2.7 Code | 256k | Kimi | 42 | -- | 46 | 2.79 | 62.57 | |
Claude Sonnet 5 (Non-reasoning) | 1M | Anthropic | 42 | $0.37 | 61 | 1.16 | 9.32 | |
Hy3 | 256k |  Tencent | 41 | $0.03 | 58 | 2.49 | 45.65 | |
GPT-5.6 Sol (Non-reasoning) | 1M | OpenAI | 41 | $0.26 | 73 | 0.99 | 7.87 | |
Nex-N2-Pro | 262k |  Nex AGI | 41 | -- | 142 | 1.77 | 19.38 | |
Inkling | 1M |  Thinking Machines | 41 | -- | 87 | 1.75 | 30.34 | |
GPT-5.6 Terra (low) | 1M | OpenAI | 40 | $0.15 | 129 | 1.39 | 5.26 | |
DeepSeek V4 Flash (max) | 1M | DeepSeek | 40 | $0.02 | 122 | 1.25 | 51.49 | |
Qwen3.6 Plus | 1M | Alibaba | 40 | $0.31 | 52 | 2.51 | 118.81 | |
Qwen3.7 Plus | 1M | Alibaba | 39 | $0.22 | 53 | 2.93 | 49.84 | |
JT-4.1 Flash 236B A21B | 256k |  China Mobile | 39 | -- | -- | -- | -- | |
Agnes 2.5 Pro Alpha | 1M |  Sapiens AI | 39 | -- | 107 | 1.66 | 24.98 | |
GPT-5.6 Luna (medium) | 1M | OpenAI | 38 | $0.07 | 192 | 2.84 | 5.45 | |
Nemotron 3 Ultra | 262k | NVIDIA | 38 | $0.25 | 204 | 1.15 | 14.77 | |
DeepSeek V4 Flash (high) | 1M | DeepSeek | 37 | $0.04 | -- | -- | -- | |
MiMo-V2.5 | 1M | Xiaomi | 37 | $0.01 | 67 | 4.39 | 41.66 | |
Qwen3.6 27B | 262k | Alibaba | 37 | $0.27 | 56 | 3.67 | 114.46 | |
Gemini 3.5 Flash-Lite | 1M | Google | 36 | $0.09 | 433 | 8.38 | 9.54 | |
MiMo-V2-Omni-0327 | 256k | Xiaomi | 36* | -- | -- | -- | -- | |
Grok 4.3 (medium) | 1M | SpaceXAI | 36* | -- | 110 | 12.58 | 17.12 | |
Grok 4.3 (low) | 1M | SpaceXAI | 35* | -- | 105 | 5.85 | 10.60 | |
MiMo-V2-Omni | 256k | Xiaomi | 35* | -- | -- | -- | -- | |
Gemini 3.5 Flash (minimal) | 1M | Google | 35* | -- | 167 | 0.92 | 3.91 | |
Kimi K2.6 | 256k | Kimi | 35* | -- | 38 | 2.84 | 16.01 | |
Claude Sonnet 4.6 (Non-reasoning, Low Effort) | 1M | Anthropic | 34* | -- | 44 | 1.23 | 12.54 | |
GLM-5.2 | 1M | Z AI | 34 | -- | 162 | 1.43 | 4.51 | |
GPT-5.6 Terra (Non-reasoning) | 1M | OpenAI | 34 | $0.18 | 123 | 0.79 | 4.85 | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | 34 | -- | 103 | 1.57 | 6.42 | |
Qwen3.5 397B A17B | 262k | Alibaba | 34 | $0.33 | 69 | 2.36 | 55.49 | |
Hy3-preview | 256k | Tencent | 34* | -- | 152 | 3.57 | 20.00 | |
LongCat 2.0 | 1M |  LongCat | 33 | -- | -- | -- | -- | |
GPT-5.6 Luna (low) | 1M | OpenAI | 33 | $0.06 | 168 | 1.53 | 4.52 | |
MiMo-V2-Flash (Feb 2026) | 256k | Xiaomi | 33* | -- | -- | -- | -- | |
Qwen3.5 122B A10B | 262k | Alibaba | 32 | $0.24 | 133 | 2.32 | 21.09 | |
Qwen3.5 397B A17B | 262k | Alibaba | 32* | -- | 69 | 2.36 | 9.62 | |
Qwen3.6 35B A3B | 262k | Alibaba | 32 | $0.18 | 158 | 2.21 | 39.49 | |
DeepSeek V4 Pro | 1M | DeepSeek | 31* | -- | 73 | 1.52 | 8.32 | |
Qwen3.5 Omni Plus | 256k | Alibaba | 31* | -- | 53 | 2.37 | 11.77 | |
Ring-2.6-1T | 262k |  InclusionAI | 31 | $0.35 | 126 | 3.37 | 23.28 | |
Qwen3.6 27B | 262k | Alibaba | 30 | $0.36 | 57 | 3.63 | 12.40 | |
o3 | 200k | OpenAI | 30* | -- | 139 | 6.60 | 10.20 | |
Step 3.7 Flash | 262k | StepFun | 30 | $0.09 | 396 | 0.89 | 7.20 | |
Mistral Medium 3.5 | 256k |  Mistral | 30 | $0.39 | 104 | 1.91 | 26.03 | |
Claude 4.5 Haiku | 200k | Anthropic | 30 | $0.24 | 104 | 13.30 | 18.08 | |
Gemma 4 31B | 256k | Google | 29 | -- | 35 | 1.12 | 65.03 | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | 29 | $0.54 | -- | -- | -- | |
DeepSeek V4 Flash | 1M | DeepSeek | 29* | -- | 117 | 1.22 | 5.49 | |
JT-35B-Flash | 256k | China Mobile | 28* | -- | -- | -- | -- | |
KAT-Coder-Pro V1 | 256k | KwaiKAT | 28* | -- | -- | -- | -- | |
MiMo-V2.5-Pro | 1M | Xiaomi | 28* | -- | 67 | 2.77 | 10.24 | |
Qwen3.5 122B A10B | 262k | Alibaba | 28 | $0.18 | 146 | 2.37 | 5.80 | |
GPT-5.6 Luna (Non-reasoning) | 1M | OpenAI | 27 | $0.08 | 179 | 0.79 | 3.59 | |
Hy3-preview | 256k | Tencent | 26* | -- | 150 | 3.70 | 7.03 | |
Ling-2.6-1T | 262k | InclusionAI | 26* | -- | -- | -- | -- | |
Step 3.5 Flash 2603 | 256k | StepFun | 26* | -- | 274 | 1.06 | 10.17 | |
Doubao Seed Code | 256k |  ByteDance Seed | 26* | -- | -- | -- | -- | |
Gemini 2.5 Pro | 1M | Google | 26 | $0.20 | 139 | 23.89 | 27.48 | |
Gemma 4 26B A4B | 256k | Google | 26 | $0.03 | -- | -- | -- | |
NVIDIA Nemotron 3 Super | 1M | NVIDIA | 25 | $0.21 | 187 | 1.65 | 15.00 | |
Gemini 3.1 Flash-Lite | 1M | Google | 25 | $0.04 | 314 | 6.01 | 7.60 | |
Grok 4.3 (Non-reasoning) | 1M | SpaceXAI | 25 | $0.37 | 100 | 0.84 | 5.84 | |
MiMo-V2-Flash | 256k | Xiaomi | 25 | -- | -- | -- | -- | |
Qwen3.6 35B A3B | 262k | Alibaba | 24 | $0.60 | 190 | 2.26 | 4.89 | |
Qwen3.5 35B A3B | 262k | Alibaba | 24 | $0.23 | 134 | 2.17 | 5.90 | |
gpt-oss-120b (high) | 131k | OpenAI | 24 | $0.06 | 288 | 0.86 | 9.54 | |
Claude 4.5 Haiku | 200k | Anthropic | 24* | -- | 93 | 0.89 | 6.28 | |
Command A+ | 192k | Cohere | 23 | $0.00 | 203 | 0.40 | 12.70 | |
K-EXAONE | 256k |  LG AI Research | 22 | -- | -- | -- | -- | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | 22* | -- | -- | -- | -- | |
Gemma 4 12B | 256k | Google | 22 | -- | 110 | 2.43 | 25.18 | |
Gemma 4 31B | 256k | Google | 22 | $0.03 | 73 | 2.24 | 9.06 | |
Nova 2.0 Pro Preview (medium) | 256k |  Amazon | 22 | $0.17 | 117 | 15.71 | 37.16 | |
Qwen3.5 9B | 262k | Alibaba | 21 | $0.22 | 71 | 1.57 | 36.67 | |
Mercury 2 | 128k | Inception | 21 | $0.08 | 987 | 4.00 | 4.51 | |
Qwen3 Coder Next | 256k | Alibaba | 21 | $0.33 | 128 | 1.25 | 5.15 | |
Nova 2.0 Omni (medium) | 1M | Amazon | 21* | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | 21* | -- | -- | -- | -- | |
Qwen3.5 9B | 262k | Alibaba | 20* | -- | -- | -- | -- | |
EXAONE 4.5 33B | 262k | LG AI Research | 20 | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | 20* | -- | 75 | 1.16 | 7.83 | |
Qwen3.5 4B | 262k | Alibaba | 20* | -- | 31 | 0.76 | 82.08 | |
North Mini Code | 256k | Cohere | 20 | $0.00 | 64 | 0.48 | 39.45 | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | 20 | $0.21 | 120 | 9.70 | 30.55 | |
Mistral Small 4 | 256k | Mistral | 20 | $0.10 | 163 | 0.75 | 16.08 | |
Devstral 2 | 256k | Mistral | 19 | $0.00 | 29 | 1.27 | 18.35 | |
Nova 2.0 Lite (medium) | 1M | Amazon | 19* | -- | 151 | 21.47 | 38.01 | |
Qwen3.5 Omni Flash | 256k | Alibaba | 19* | -- | 253 | 1.87 | 3.85 | |
JT-MINI | 128k | China Mobile | 19* | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | 18 | $0.25 | 149 | 18.92 | 35.71 | |
Trinity Large Thinking | 512k |  Arcee AI | 18 | $0.13 | 172 | 0.90 | 15.44 | |
Magistral Medium 1.2 | 128k | Mistral | 18 | $0.75 | 44 | 1.71 | 58.62 | |
Nova 2.0 Lite (low) | 1M | Amazon | 18* | -- | 150 | 9.80 | 26.46 | |
HyperNova 60B 2605 | 131k |  Multiverse Computing | 18 | $0.02 | 367 | 0.89 | 7.69 | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | 18 | -- | -- | -- | -- | |
Devstral Small 2 | 256k | Mistral | 17 | $0.00 | 30 | 1.35 | 18.30 | |
K2 Think V2 | 262k |  MBZUAI Institute of Foundation Models | 17 | -- | -- | -- | -- | |
LongCat Flash Lite | 256k | LongCat | 17* | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | 17* | -- | -- | -- | -- | |
K-EXAONE | 256k | LG AI Research | 17* | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | 17 | $0.17 | 208 | 2.24 | 14.29 | |
Nova 2.0 Omni (low) | 1M | Amazon | 17* | -- | -- | -- | -- | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | 16* | -- | -- | -- | -- | |
G9v3-3B | 131k |  AI9Stars | 16 | -- | -- | -- | -- | |
Qwen3.5 4B | 262k | Alibaba | 16* | -- | 30 | 0.71 | 17.61 | |
Mistral Large 3 | 256k | Mistral | 16 | $0.06 | 49 | 1.14 | 11.28 | |
INTELLECT-3 | 131k |  Prime Intellect | 16* | -- | -- | -- | -- | |
Solar Open 100B | 128k |  Upstage | 15* | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B Reasoning | 256k | NVIDIA | 15* | -- | 319 | 0.95 | 8.77 | |
gpt-oss-120b (low) | 131k | OpenAI | 15 | $0.02 | 293 | 0.84 | 9.36 | |
gpt-oss-20b (high) | 131k | OpenAI | 15 | $0.02 | 197 | 0.83 | 13.55 | |
Nova 2.0 Pro Preview | 256k | Amazon | 14 | $0.25 | 106 | 1.01 | 5.72 | |
gpt-oss-20b (low) | 131k | OpenAI | 14* | -- | 222 | 0.81 | 12.06 | |
Llama 4 Maverick | 1M | Meta | 14 | $0.03 | 105 | 0.92 | 5.67 | |
K2-V2 (high) | 512k | MBZUAI Institute of Foundation Models | 14* | -- | -- | -- | -- | |
NVIDIA Nemotron 3 Nano | 1M | NVIDIA | 14 | $0.02 | 157 | 1.52 | 17.49 | |
Solar Pro 3 | 128k | Upstage | 14 | -- | -- | -- | -- | |
Ling 2.6 Flash | 262k | InclusionAI | 14 | -- | 149 | 1.12 | 4.47 | |
Qwen3 Next 80B A3B | 262k | Alibaba | 14* | -- | 180 | 2.27 | 5.05 | |
Tri-21B-think Preview | 32k |  Trillion Labs | 14* | -- | -- | -- | -- | |
DiffusionGemma 26B A4B | 256k | Google | 13 | -- | -- | -- | -- | |
Gemma 4 12B (Non-reasoning) | 262k | Google | 13* | -- | 105 | 2.39 | 7.14 | |
Motif-2-12.7B | 128k | Motif Technologies | 13* | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | 13* | -- | 33 | 2.84 | 18.03 | |
K2-V2 (medium) | 512k | MBZUAI Institute of Foundation Models | 12* | -- | -- | -- | -- | |
Llama Nemotron Super 49B v1.5 | 128k | NVIDIA | 12* | -- | 83 | 10.29 | 40.55 | |
Mistral Small 4 | 256k | Mistral | 12* | -- | 151 | 0.68 | 4.00 | |
Tri-21B-Think | 32k | Trillion Labs | 12* | -- | -- | -- | -- | |
MiniCPM5-1B | 128k |  OpenBMB | 12* | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | 12* | -- | -- | -- | -- | |
Gemma 4 E4B | 128k | Google | 12 | -- | 92 | 0.78 | 28.09 | |
Nova 2.0 Lite | 1M | Amazon | 12* | -- | 140 | 1.15 | 4.73 | |
MiniCPM5-1B | 128k | OpenBMB | 12* | -- | -- | -- | -- | |
Magistral Small 1.2 | 128k | Mistral | 11 | $0.25 | 89 | 0.93 | 29.09 | |
Nanbeige4.1-3B | 256k |  Nanbeige | 11 | -- | -- | -- | -- | |
Ministral 3 14B | 256k | Mistral | 11 | $0.15 | 64 | 0.85 | 8.70 | |
EXAONE 4.0 32B | 131k | LG AI Research | 11* | -- | -- | -- | -- | |
Nova 2.0 Omni | 1M | Amazon | 11* | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | 10 | $0.01 | 96 | 0.76 | 5.97 | |
Hermes 4 70B | 128k |  Nous Research | 10* | -- | 93 | 1.35 | 28.24 | |
Falcon-H1R-7B | 256k |  TII UAE | 10* | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 10* | -- | 99 | 1.92 | 27.13 | |
Gemma 4 E2B | 128k | Google | 9 | -- | -- | -- | -- | |
Step3 VL 10B | 65.5k | StepFun | 9* | -- | -- | -- | -- | |
Llama 3.3 70B | 128k | Meta | 9 | $0.08 | 85 | 1.65 | 7.53 | |
Llama Nemotron Ultra | 128k | NVIDIA | 9* | -- | 53 | 2.32 | 49.56 | |
ERNIE 4.5 300B A47B | 131k | Baidu | 9* | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | 9* | -- | 40 | 2.36 | 65.40 | |
Solar Pro 2 | 65.5k | Upstage | 9* | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 9* | -- | 72 | 5.57 | 40.05 | |
Ministral 3 8B | 256k | Mistral | 9 | $0.18 | 115 | 0.73 | 5.07 | |
Gemma 4 E4B | 128k | Google | 9* | -- | 94 | 0.75 | 6.08 | |
Granite 4.1 30B | 131k |  IBM | 9 | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 9* | -- | 80 | 7.00 | 38.30 | |
Hermes 4 405B | 128k | Nous Research | 9* | -- | 40 | 2.37 | 14.78 | |
NVIDIA Nemotron 3 Nano 4B | 262k | NVIDIA | 9 | -- | -- | -- | -- | |
Llama Nemotron Super 49B v1.5 | 128k | NVIDIA | 9* | -- | 83 | 4.95 | 10.96 | |
K2-V2 (low) | 512k | MBZUAI Institute of Foundation Models | 9* | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | 9* | -- | -- | -- | -- | |
Llama 3.1 405B | 128k | Meta | 9* | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 32.8k | Liquid AI | 8* | -- | 335 | 11.42 | 18.89 | |
Ring-flash-2.0 | 128k | InclusionAI | 8* | -- | -- | -- | -- | |
Olmo 3.1 32B Think | 65.5k |  Allen Institute for AI | 8* | -- | -- | -- | -- | |
Solar Pro 2 | 65.5k | Upstage | 8* | -- | -- | -- | -- | |
Command A | 256k | Cohere | 8* | -- | 57 | 1.67 | 10.50 | |
Llama 3.1 Nemotron 70B | 128k | NVIDIA | 8* | -- | 74 | 9.88 | 16.66 | |
NVIDIA Nemotron 3 Nano | 1M | NVIDIA | 7* | -- | 100 | 0.93 | 5.92 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 7* | -- | 156 | 1.91 | 5.12 | |
Hermes 4 70B | 128k | Nous Research | 7* | -- | 93 | 1.34 | 6.71 | |
Qwen3.5 2B | 262k | Alibaba | 7 | -- | -- | -- | -- | |
Granite 4.1 8B | 131k | IBM | 7* | -- | 105 | 0.81 | 5.58 | |
Sarvam 30B (high) | 65.5k | Sarvam | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Ministral 3 3B | 256k | Mistral | 6 | $0.13 | 247 | 0.63 | 2.65 | |
Gemma 4 E2B | 128k | Google | 6* | -- | -- | -- | -- | |
R1 1776 | 128k |  Perplexity | 6* | -- | -- | -- | -- | |
Llama 3.2 90B (Vision) | 128k | Meta | 6* | -- | -- | -- | -- | |
Phi-4 Mini | 128k |  Microsoft | 6 | $0.00 | 45 | 0.82 | 12.04 | |
EXAONE 4.0 32B | 131k | LG AI Research | 6* | -- | -- | -- | -- | |
Qwen3.5 2B | 262k | Alibaba | 6 | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | 5 | -- | -- | -- | -- | |
DeepHermes 3 - Mistral 24B | 32k | Nous Research | 5* | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | 5* | -- | 54 | 1.39 | 10.71 | |
Granite 4.0 H Small | 128k | IBM | 5* | -- | 386 | 10.22 | 11.52 | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 5* | -- | 94 | 1.98 | 7.28 | |
LFM2 24B A2B | 32.8k | Liquid AI | 5* | -- | -- | -- | -- | |
Phi-4 | 16k | Microsoft | 5* | -- | 29 | 4.01 | 21.17 | |
Nova Micro | 130k | Amazon | 5* | -- | 285 | 0.91 | 2.67 | |
Granite 4.1 3B | 131k | IBM | 5 | -- | -- | -- | -- | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 5* | -- | 154 | 2.48 | 5.73 | |
Phi-4 Multimodal | 128k | Microsoft | 5* | -- | 18 | 0.81 | 28.98 | |
MiniCPM-V 4.6 1.3B | 262k | OpenBMB | 4 | -- | -- | -- | -- | |
Jamba Reasoning 3B | 262k | AI21 Labs | 4* | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | 4* | -- | -- | -- | -- | |
Olmo 3 7B Think | 65.5k | Allen Institute for AI | 4* | -- | -- | -- | -- | |
Molmo 7B-D | 4.1k | Allen Institute for AI | 4* | -- | -- | -- | -- | |
Ling-mini-2.0 | 131k | InclusionAI | 4* | -- | -- | -- | -- | |
Llama 3.2 11B (Vision) | 128k | Meta | 3* | -- | 6 | 2.65 | 81.68 | |
Qwen3.5 0.8B | 262k | Alibaba | 3 | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 3* | -- | -- | -- | -- | |
Olmo 3 7B | 65.5k | Allen Institute for AI | 3* | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 3* | -- | -- | -- | -- | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | 3* | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | 3* | -- | -- | -- | -- | |
LFM2 2.6B | 32.8k | Liquid AI | 3* | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | 3* | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | 3* | -- | -- | -- | -- | |
Gemma 3 270M | 32k | Google | 2* | -- | -- | -- | -- | |
Apertus 70B Instruct | 65.5k |  Swiss AI Initiative | 2* | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | 2* | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B | 128k | Nous Research | 2* | -- | -- | -- | -- | |
Granite 4.0 1B | 128k | IBM | 2* | -- | -- | -- | -- | |
Molmo2-8B | 36.9k | Allen Institute for AI | 2* | -- | -- | -- | -- | |
LFM2 8B A1B | 32.8k | Liquid AI | 2* | -- | -- | -- | -- | |
LFM2.5-VL-1.6B | 32k | Liquid AI | 1* | -- | 400 | 11.48 | 12.73 | |
Granite 4.0 350M | 32.8k | IBM | 1* | -- | -- | -- | -- | |
Tiny Aya Global | 8.19k | Cohere | 1* | -- | -- | -- | -- | |
Apertus 8B Instruct | 65.5k | Swiss AI Initiative | 1* | -- | -- | -- | -- | |
Granite 4.0 H 350M | 32.8k | IBM | 1* | -- | -- | -- | -- | |
Claude Sonnet 5 (low) | 1M | Anthropic | -- | -- | 60 | 2.06 | 10.44 | |
EXAONE 4.5 33B | 262k | LG AI Research | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (xhigh) | 1M | Anthropic | -- | -- | 68 | 28.07 | 35.45 | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (high) | 1M | Anthropic | -- | -- | 63 | 7.95 | 15.87 | |
Mi:dm K 2.5 Pro Preview | 128k | Korea Telecom | -- | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | -- | |
Claude Sonnet 5 (medium) | 1M | Anthropic | -- | -- | 63 | 2.26 | 10.20 | |
Definiciones clave
Preguntas frecuentes
Claude Opus 5 (Adaptive Reasoning, Max Effort) ocupa actualmente el puesto #1 en el ranking de modelos LLM de Artificial Analysis, con una puntuación de 61 en el Índice de Inteligencia, entre 170 modelos clasificados.
Los mejores modelos por Índice de Inteligencia son: 1. Claude Opus 5 (Adaptive Reasoning, Max Effort) (61), 2. Claude Opus 5 (Adaptive Reasoning, Xhigh Effort) (60), 3. Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) (60), 4. GPT-5.6 Sol (max) (59), 5. Claude Opus 5 (Adaptive Reasoning, High Effort) (59).
Mercury 2 es el más rápido con 986.7 tokens por segundo, seguido por Gemini 3.5 Flash-Lite (432.7 t/s) y LFM2.5-VL-1.6B (400.0 t/s).
Llama 4 Scout tiene el menor costo por tarea del Índice de Inteligencia con $0.01, seguido por MiMo-V2.5 ($0.01) y gpt-oss-120b (low) ($0.02).
Kimi K3 es el modelo con pesos abiertos mejor clasificado, con una puntuación de 57 en el Índice de Inteligencia. Hay 95 modelos con pesos abiertos de un total de 170 en el ranking.
Los mejores modelos con pesos abiertos por Índice de Inteligencia son: 1. Kimi K3 (57), 2. GLM-5.2 (max) (51), 3. MiniMax-M3 (44).
Claude Opus 5 (Adaptive Reasoning, Max Effort) lidera entre 126 modelos de razonamiento, con una puntuación de 61 en el Índice de Inteligencia. 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. También puedes ajustar las opciones de prompt para ver cómo varía el rendimiento con distintas longitudes de entrada.
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