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 5.5 (max with fallback) y Claude Sonnet 5.5 (max with fallback) son los modelos con mayor inteligencia, seguidos por Claude Opus 5.5 (xhigh with fallback) y Muse Wonder Full (max).
Velocidad de salida
Celeris-1 y K2 Horizon 375B A23B son los modelos más rápidos, seguidos por Mercury 2.5 y Gemini 3.5 Flash-Lite.
Latencia
North Mini Code y Granite 4.2 3B son los modelos con menor latencia, seguidos por Command A+ y Nemotron 3 Nano (non-reasoning).
Costo por tarea
K2 Horizon 375B A23B y Gemma 4 31B tienen el menor costo por tarea, seguidos por Command A+ y Ling 3.0 Tiny.
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 Kimi K3 (max).
Análisis adicional | ||||||||
|---|---|---|---|---|---|---|---|---|
Claude Opus 5.5 (max with fallback) | 1M | Anthropic | 58 | $5.98 | 95 | 666.74 | 672.00 | |
Claude Sonnet 5.5 (max with fallback) | 1M | Anthropic | 56 | $5.46 | 131 | 385.53 | 389.36 | |
Claude Opus 5.5 (xhigh with fallback) | 1M | Anthropic | 56 | $3.46 | 82 | 139.92 | 145.99 | |
Muse Wonder Full (max) | 1M | Meta | 56 | -- | -- | -- | -- | |
Claude Opus 5.5 (high with fallback) | 1M | Anthropic | 54 | $1.82 | 85 | 47.18 | 53.09 | |
Claude Fable 5.1 (max with fallback) | 1M | Anthropic | 53 | $7.63 | 71 | 258.47 | 265.51 | |
Claude Fable 5.1 (xhigh with fallback) | 1M | Anthropic | 53 | $5.98 | 66 | 84.61 | 92.14 | |
GPT-6 Astra (max) | 1M | OpenAI | 53 | $3.26 | 44 | 264.42 | 275.72 | |
Gemini 4 Argon (high) | 1M | Google | 53 | $1.99 | -- | -- | -- | |
Muse Wonder (max) | 1.05M | Meta | 52 | $4.52 | 161 | 40.62 | 56.20 | |
GPT-6 Astra (xhigh) | 1M | OpenAI | 52 | $2.31 | 44 | 147.23 | 158.49 | |
Claude Sonnet 5.5 (xhigh with fallback) | 1M | Anthropic | 52 | $2.01 | 110 | 33.61 | 38.16 | |
GPT-6.1 Sol (max) | 1M | OpenAI | 52 | $0.72 | 51 | 277.04 | 286.81 | |
Claude Opus 5.5 (medium with fallback) | 1M | Anthropic | 51 | $1.34 | 88 | 17.72 | 23.41 | |
Claude Fable 5.1 (high with fallback) | 1M | Anthropic | 51 | $3.91 | 65 | 9.72 | 17.39 | |
GPT-6.1 Sol (xhigh) | 1M | OpenAI | 51 | $0.39 | 57 | 122.44 | 131.26 | |
GPT-6 Astra (high) | 1M | OpenAI | 51 | $1.73 | 50 | 58.46 | 68.41 | |
GPT-6.1 Sol (high) | 1M | OpenAI | 50 | $0.32 | 56 | 41.58 | 50.59 | |
GPT-6 Astra (medium) | 1M | OpenAI | 50 | $1.54 | 48 | 6.71 | 17.11 | |
Claude Fable 5.1 (medium with fallback) | 1M | Anthropic | 49 | $2.98 | 66 | 7.32 | 14.90 | |
Muse Spark 1.3 (max) | 1M | Meta | 48 | $1.60 | 128 | 55.55 | 75.13 | |
GPT-6.1 Sol (medium) | 1M | OpenAI | 48 | $0.21 | 49 | 4.78 | 15.02 | |
Claude Fable 5.1 (low with fallback) | 1M | Anthropic | 47 | $2.37 | 66 | 3.05 | 10.61 | |
Claude Sonnet 5.5 (high with fallback) | 1M | Anthropic | 47 | $0.88 | 112 | 13.09 | 17.56 | |
Grok 4.7 (xhigh) | 500k |  SpaceXAI | 46 | $3.74 | 91 | 50.20 | 55.70 | |
Grok 4.7 (high) | 500k | SpaceXAI | 46 | $2.73 | 84 | 28.84 | 34.83 | |
MiMo-V2.6-Pro | 1M |  Xiaomi | 46 | $0.13 | 47 | 4.13 | 56.96 | |
GPT-6 Astra (low) | 1M | OpenAI | 46 | $0.82 | 46 | 2.66 | 13.53 | |
Qwen3.8 Max (0902) | 984k |  Alibaba | 45 | $5.41 | 40 | 3.06 | 65.91 | |
Muse Spark 1.3 (xhigh) | 1M | Meta | 45 | $1.37 | 298 | 29.45 | 37.83 | |
GLM-5.3 (max) | 1M |  Z AI | 45 | $2.01 | 66 | 3.25 | 41.35 | |
Step 5 Preview | 1M |  StepFun | 44 | $1.03 | 91 | 2.37 | 29.79 | |
Kimi K3 (max) | 1.05M | Kimi | 44 | $2.00 | 44 | 3.56 | 59.81 | |
Claude Haiku 5.5 (max) | 1M | Anthropic | 43 | $0.21 | 240 | 336.91 | 338.99 | |
Claude Opus 5.5 (low with fallback) | 1M | Anthropic | 42 | $0.55 | 87 | 7.70 | 13.48 | |
Grok 4.7 (low) | 500k | SpaceXAI | 42 | $1.25 | 72 | 3.69 | 10.67 | |
GPT-6.1 Sol (low) | 1M | OpenAI | 42 | $0.13 | 44 | 3.44 | 14.73 | |
GPT-5.6 Terra (max) | 1M | OpenAI | 42 | $1.40 | 134 | 128.27 | 132.00 | |
GLM-5.3-Flash | 1M | Z AI | 42 | $0.28 | 66 | 2.74 | 40.70 | |
Claude Haiku 5.5 (xhigh) | 1M | Anthropic | 41 | $0.12 | 183 | 70.11 | 72.84 | |
Ling 3.1 Flash | 1M | InclusionAI | 41 | $1.00 | 213 | 1.79 | 13.52 | |
Gemini 3.8 Flash (high) | 1M | Google | 41 | $1.24 | 147 | 23.80 | 27.19 | |
Claude Sonnet 5.5 (medium with fallback) | 1M | Anthropic | 41 | $0.48 | 113 | 2.86 | 7.30 | |
Qwen3.8 2.4T A95B | 262k | Alibaba | 40 | $2.16 | 39 | 2.86 | 66.76 | |
Qwen3.8-Flash-Next | 256k | Alibaba | 40 | $0.37 | 52 | 2.05 | 50.46 | |
Gemini 3.8 Flash (medium) | 1M | Google | 40 | $0.93 | -- | -- | -- | |
DeepSeek V4.1 Flash (max) | 1M |  DeepSeek | 39 | $0.27 | 180 | 1.13 | 15.04 | |
Muse Spark Open (xhigh) | 1.05M | Meta | 39 | -- | -- | -- | -- | |
Mistral Large 4 Preview | 524k |  Mistral | 38 | $1.13 | -- | -- | -- | |
GPT-6 Luna (max) | 1M | OpenAI | 38 | $0.07 | 118 | 96.97 | 101.19 | |
GPT-5.6 Terra (xhigh) | 1M | OpenAI | 38 | $0.63 | 112 | 20.44 | 24.89 | |
MiMo-V2.6-Flash | 1M | Xiaomi | 38 | $0.06 | 54 | 3.23 | 49.68 | |
Claude Haiku 5.5 (high) | 1M | Anthropic | 38 | $0.08 | 182 | 19.77 | 22.52 | |
DeepSeek V4 Pro 0813 (max) | 1M | DeepSeek | 36 | $0.67 | 101 | 1.62 | 26.49 | |
Claude Sonnet 5.5 (low with fallback) | 1M | Anthropic | 36 | $0.35 | 112 | 1.28 | 5.72 | |
Agnes 2.5 Pro Beta | 1M |  Sapiens AI | 35* | -- | 119 | 1.41 | 22.50 | |
DeepSeek V4 Flash Vision (max) | 1M | DeepSeek | 35 | $0.31 | 173 | 1.10 | 15.55 | |
GPT-6 Luna (xhigh) | 1M | OpenAI | 35 | $0.04 | 112 | 28.81 | 33.27 | |
Claude Haiku 5.5 (medium) | 1M | Anthropic | 34 | $0.05 | 173 | 10.61 | 13.50 | |
GLM-5.3 (low) | 1M | Z AI | 34 | $0.85 | 70 | 3.26 | 38.75 | |
GPT-5.6 Terra (high) | 1M | OpenAI | 34 | $0.34 | 111 | 3.61 | 8.09 | |
JT-4.1 Flash 236B A21B | 262k |  China Mobile | 34 | -- | -- | -- | -- | |
Qwen3.8 27B (xhigh) | 256k | Alibaba | 34 | $1.01 | 41 | 3.95 | 64.37 | |
Motif 3 | 262k |  Motif Technologies | 34* | -- | -- | -- | -- | |
Gemini 3.8 Flash (low) | 1M | Google | 33 | -- | -- | -- | -- | |
GPT-6 Luna (high) | 1M | OpenAI | 33 | $0.03 | 121 | 18.71 | 22.86 | |
GPT-5.3 Codex (xhigh) | 400k | OpenAI | 33* | -- | 101 | 61.00 | 65.96 | |
K2 Horizon 375B A23B | 524k | Institute of Foundation Models | 31 | $0.00 | 891 | 2.59 | 5.39 | |
GPT-5.6 Terra (medium) | 1M | OpenAI | 30 | $0.18 | 104 | 1.66 | 6.46 | |
Kimi K3 (low) | 1.05M | Kimi | 30 | $1.15 | 46 | 3.43 | 57.46 | |
GPT-6 Luna (medium) | 1M | OpenAI | 30 | $0.02 | -- | -- | -- | |
Gemini 3.1 Pro Preview | 1M | Google | 30 | $1.30 | 140 | 18.99 | 22.56 | |
Claude Haiku 5.5 (low) | 1M | Anthropic | 29 | $0.02 | 177 | 6.33 | 9.16 | |
MiniMax-M3 | 1M |  MiniMax | 29 | $0.51 | 99 | 1.24 | 26.38 | |
Nex-N2-Pro | 262k |  Nex AGI | 28* | -- | -- | -- | -- | |
Solar Pro 4 | 512k |  Upstage | 28* | -- | 89 | 2.03 | 30.15 | |
Qwen3.8 27B (medium) | 256k | Alibaba | 28 | $1.13 | 44 | 3.98 | 60.84 | |
GPT-5.6 Terra (low) | 1M | OpenAI | 27 | $0.14 | 104 | 1.53 | 6.34 | |
JT-4.1 Flash 236B A21B (non-reasoning) | 262k | China Mobile | 27* | -- | -- | -- | -- | |
Quasar 438B (max) | 1M |  Multiverse Computing | 27 | $2.02 | 135 | 1.33 | 19.89 | |
Nemotron 3.5 Super VL | 1M | NVIDIA | 26 | -- | -- | -- | -- | |
Apodex 1.1 | 256k |  Apodex | 26 | $0.46 | -- | -- | -- | |
Qwen3.8 27B (low) | 256k | Alibaba | 26 | $1.05 | 46 | 4.02 | 58.24 | |
GPT-5.5 Instant (June 2026) | 400k | OpenAI | 26 | $0.69 | 159 | 0.84 | 16.56 | |
Kimi K2.7 Code | 256k | Kimi | 26 | $0.54 | 53 | 3.12 | 54.92 | |
Inkling Small | 1M |  Thinking Machines | 26 | $0.09 | 200 | 1.92 | 14.39 | |
K2 Horizon MoVA 36B A4B | 524k | Institute of Foundation Models | 25 | -- | -- | -- | -- | |
Hy3 | 256k |  Tencent | 25 | $0.07 | 88 | 2.79 | 31.07 | |
Qwen3.7 Plus | 1M | Alibaba | 25 | $0.22 | 56 | 2.24 | 46.76 | |
Inkling (xhigh) | 1M | Thinking Machines | 25 | -- | 175 | 1.85 | 16.14 | |
Solar Open2 250B | 1.05M | Upstage | 25* | -- | -- | -- | -- | |
DeepSeek V4.1 Flash (non-reasoning) | 1M | DeepSeek | 25 | $0.15 | 175 | 1.08 | 3.94 | |
Ling-3.0-flash-VL | 262k | InclusionAI | 25 | -- | -- | -- | -- | |
Solar Mini 4 | 1.05M | Upstage | 24 | $0.37 | 82 | 1.85 | 32.22 | |
Nemotron 3 Ultra | 262k | NVIDIA | 23 | $0.60 | 156 | 1.29 | 19.06 | |
Ling-3.0-flash-Fin | 262k | InclusionAI | 23 | -- | 233 | 1.71 | 12.44 | |
Gemini 3.5 Flash-Lite | 1M | Google | 22 | $0.19 | 438 | 7.06 | 8.20 | |
G9v3-39A5B | 131k |  AI9Stars | 22* | -- | -- | -- | -- | |
KAT-Coder-Pro V2 | 256k |  KwaiKAT | 22* | -- | -- | -- | -- | |
GPT-6 Luna (low) | 1M | OpenAI | 22 | $0.0045 | 120 | 2.56 | 6.71 | |
A.X-K2 | 262k |  SK Telecom | 21 | -- | -- | -- | -- | |
Qwen3.5 397B A17B (non-reasoning) | 262k | Alibaba | 21* | -- | 56 | 2.41 | 11.29 | |
Nemotron 3.5 Bolt 74B-A9B | 262k | NVIDIA | 21 | -- | -- | -- | -- | |
GPT-5.6 Terra (non-reasoning) | 1M | OpenAI | 21 | $0.14 | 111 | 0.81 | 5.32 | |
K2 Horizon 7B | 524k | Institute of Foundation Models | 21 | -- | -- | -- | -- | |
Qwen3.5 Omni Plus | 256k | Alibaba | 20* | -- | 92 | 2.11 | 7.52 | |
DeepSeek V4 Pro 0813 (non-reasoning) | 1M | DeepSeek | 20 | $0.36 | 100 | 1.68 | 6.67 | |
o3 | 200k | OpenAI | 20* | -- | 120 | 5.91 | 10.08 | |
Qwen3.8 27B (non-reasoning) | 256k | Alibaba | 20 | $2.49 | 45 | 4.23 | 15.40 | |
K-EXAONE 2.0 | 262k |  LG AI Research | 20* | -- | -- | -- | -- | |
LongCat 2.0 | 1M |  LongCat | 19 | $0.15 | 70 | 2.64 | 38.52 | |
JT-35B-Flash | 256k | China Mobile | 19* | -- | -- | -- | -- | |
GPT-6 Luna (non-reasoning) | 1M | OpenAI | 18 | $0.01 | 112 | 0.90 | 5.35 | |
Qwen3.5 397B A17B | 262k | Alibaba | 18 | $0.47 | 56 | 2.29 | 68.46 | |
Qwen3.6 35B A3B | 262k | Alibaba | 18 | $0.48 | 141 | 2.06 | 43.90 | |
Qwen3.5 122B A10B (non-reasoning) | 262k | Alibaba | 18* | -- | 143 | 2.41 | 5.91 | |
Muse Glimmer (high) | 131k | Meta | 17 | $0.05 | 124 | 1.13 | 21.33 | |
Doubao Seed Code | 256k |  ByteDance Seed | 17* | -- | -- | -- | -- | |
Gemma 4 26B A4B | 256k | Google | 17* | -- | 66 | 0.98 | 39.06 | |
Ring-2.6-1T | 262k | InclusionAI | 17 | $0.29 | 115 | 3.73 | 25.52 | |
K2 Horizon 3.7B | 524k | Institute of Foundation Models | 16 | -- | -- | -- | -- | |
Qwen3.5 122B A10B | 262k | Alibaba | 16 | $0.32 | 131 | 2.33 | 21.48 | |
Qwen3.6 35B A3B (non-reasoning) | 262k | Alibaba | 15* | -- | 144 | 2.08 | 5.55 | |
Gemma 4 31B | 256k | Google | 15 | $0.00 | 36 | 1.08 | 63.87 | |
ERNIE 5.0 Thinking Preview | 128k |  Baidu | 14* | -- | -- | -- | -- | |
Mistral Medium 3.5 | 256k | Mistral | 14 | $0.50 | 165 | 2.24 | 17.39 | |
Gemma 4 12B | 262k | Google | 14* | -- | 115 | 2.46 | 24.24 | |
Nova 2.0 Pro Preview (medium) | 256k |  Amazon | 14* | -- | 130 | 10.29 | 29.50 | |
Gemma 4 31B (non-reasoning) | 256k | Google | 14* | -- | 49 | 1.95 | 12.23 | |
Nova 2.0 Omni (medium) | 1M | Amazon | 14* | -- | -- | -- | -- | |
Apriel-v1.6-15B-Thinker | 128k |  ServiceNow | 13* | -- | -- | -- | -- | |
Nova 2.0 Lite (high) | 1M | Amazon | 13* | -- | 181 | 16.88 | 30.66 | |
Qwen3.5 9B (non-reasoning) | 262k | Alibaba | 13* | -- | 98 | 0.78 | 5.88 | |
EXAONE 4.5 33B | 262k | LG AI Research | 13* | -- | -- | -- | -- | |
Command A+ | 192k | Cohere | 13 | $0.00 | 186 | 0.50 | 13.94 | |
Gemma 4 26B A4B (non-reasoning) | 256k | Google | 13* | -- | 92 | 1.01 | 6.47 | |
Qwen3.5 4B | 262k | Alibaba | 13* | -- | 16 | 0.88 | 154.81 | |
Nemotron 3.5 Lightning | 1M | NVIDIA | 13 | $0.09 | 309 | 0.57 | 8.66 | |
Nova 2.0 Pro Preview (low) | 256k | Amazon | 13* | -- | 127 | 7.16 | 26.83 | |
Granite 4.2 30B | 131k | IBM | 13 | $0.07 | 76 | 0.90 | 33.74 | |
Nova 2.0 Lite (medium) | 1M | Amazon | 12* | -- | 196 | 17.08 | 29.87 | |
Qwen3.5 Omni Flash | 256k | Alibaba | 12* | -- | 256 | 1.83 | 3.78 | |
MiniCPM5-2B | 131k |  OpenBMB | 12 | -- | -- | -- | -- | |
Mercury 2.5 | 260k | Inception | 12 | $0.12 | 740 | 3.29 | 3.97 | |
JT-MINI | 128k | China Mobile | 12* | -- | -- | -- | -- | |
Magistral Medium 1.2 | 128k | Mistral | 12* | -- | -- | -- | -- | |
Nova 2.0 Lite (low) | 1M | Amazon | 12* | -- | 183 | 10.33 | 23.98 | |
HyperNova 60B 2605 (high) | 131k | Multiverse Computing | 12* | -- | -- | -- | -- | |
Nemotron Cascade 2 30B A3B | 1M | NVIDIA | 12* | -- | -- | -- | -- | |
gpt-oss-120b (high) | 131k | OpenAI | 12 | $0.11 | 214 | 0.84 | 12.55 | |
K2 Think V2 | 262k | Institute of Foundation Models | 11* | -- | -- | -- | -- | |
LongCat Flash Lite | 256k | LongCat | 11* | -- | -- | -- | -- | |
HyperCLOVA X SEED Think (32B) | 128k |  Naver | 11* | -- | -- | -- | -- | |
Mistral Small 4 | 256k | Mistral | 11 | $0.02 | 177 | 0.84 | 14.98 | |
Qwen3 Next 80B A3B | 262k | Alibaba | 11* | -- | 163 | 0.68 | 16.07 | |
Qwen3.5 9B | 262k | Alibaba | 11 | $0.21 | 58 | 1.85 | 45.09 | |
Nova 2.0 Omni (low) | 1M | Amazon | 11* | -- | -- | -- | -- | |
Granite 4.2 8B | 131k | IBM | 11 | $0.02 | 123 | 0.69 | 21.07 | |
Ling 3.0 Tiny | 262k | InclusionAI | 11 | $0.00 | 16 | 31.58 | 187.18 | |
Mi:dm K 2.5 Pro | 128k |  Korea Telecom | 11* | -- | -- | -- | -- | |
G9v3-3B | 131k | AI9Stars | 11* | -- | -- | -- | -- | |
Trinity Large Thinking | 512k |  Arcee AI | 11 | $0.12 | 350 | 1.18 | 8.33 | |
Qwen3.5 4B (non-reasoning) | 262k | Alibaba | 11* | -- | 11 | 1.00 | 46.83 | |
INTELLECT-3 | 131k |  Prime Intellect | 11* | -- | -- | -- | -- | |
Solar Open 100B | 128k | Upstage | 10* | -- | -- | -- | -- | |
Nemotron 3 Nano Omni 30B A3B | 256k | NVIDIA | 10* | -- | 237 | 0.75 | 11.30 | |
gpt-oss-120b (low) | 131k | OpenAI | 10* | -- | 238 | 0.86 | 11.35 | |
Nova 2.0 Pro Preview (non-reasoning) | 256k | Amazon | 10* | -- | 112 | 1.02 | 5.50 | |
gpt-oss-20b (low) | 131k | OpenAI | 10* | -- | 290 | 0.70 | 9.30 | |
North Mini Code | 256k | Cohere | 10 | $0.00 | 89 | 0.46 | 28.46 | |
K2-V2 (high) | 512k | Institute of Foundation Models | 10* | -- | -- | -- | -- | |
Qwen3 Next 80B A3B | 262k | Alibaba | 10* | -- | 126 | 0.87 | 4.84 | |
DiffusionGemma 26B A4B | 256k | Google | 10* | -- | -- | -- | -- | |
Gemma 4 12B (non-reasoning) | 262k | Google | 9* | -- | 113 | 2.42 | 6.84 | |
Llama 4 Maverick | 1M | Meta | 9 | $0.04 | 56 | 1.11 | 10.05 | |
Qwen3 Coder Next | 256k | Alibaba | 9 | $0.78 | 65 | 1.16 | 8.79 | |
Motif-2-12.7B | 128k | Motif Technologies | 9* | -- | -- | -- | -- | |
Nova Premier | 1M | Amazon | 9* | -- | -- | -- | -- | |
Granite 4.2 3B | 131k | IBM | 9 | $0.01 | 223 | 0.50 | 11.72 | |
K2-V2 (medium) | 512k | Institute of Foundation Models | 9* | -- | -- | -- | -- | |
Mistral Small 4 (non-reasoning) | 256k | Mistral | 9* | -- | 153 | 1.07 | 4.35 | |
Tri-21B-Think | 32k |  Trillion Labs | 9* | -- | -- | -- | -- | |
gpt-oss-20b (high) | 131k | OpenAI | 9 | $0.01 | 229 | 0.74 | 11.68 | |
Gemma 4 E4B | 128k | Google | 9 | $0.01 | 47 | 0.94 | 54.63 | |
Nemotron 3 Nano | 1M | NVIDIA | 9 | $0.02 | 233 | 0.96 | 11.70 | |
MiniCPM5-1B | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Sarvam 105B (high) | 128k |  Sarvam | 9* | -- | -- | -- | -- | |
Nova 2.0 Lite (non-reasoning) | 1M | Amazon | 9* | -- | 168 | 1.10 | 4.07 | |
MiniCPM5-1B (non-reasoning) | 128k | OpenBMB | 9* | -- | -- | -- | -- | |
Magistral Small 1.2 | 128k | Mistral | 9* | -- | 75 | 1.52 | 34.96 | |
Nanbeige4.1-3B | 256k |  Nanbeige | 8* | -- | -- | -- | -- | |
LFM2.5-2.6B | 128k |  Liquid AI | 8* | -- | -- | -- | -- | |
EXAONE 4.0 32B | 131k | LG AI Research | 8* | -- | -- | -- | -- | |
Nova 2.0 Omni (non-reasoning) | 1M | Amazon | 8* | -- | -- | -- | -- | |
Hermes 4 70B | 128k |  Nous Research | 8* | -- | -- | -- | -- | |
Falcon-H1R-7B | 256k |  TII UAE | 8* | -- | -- | -- | -- | |
Gemma 4 E2B | 128k | Google | 8* | -- | -- | -- | -- | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 8* | -- | 101 | 1.93 | 26.63 | |
Step3 VL 10B | 65.5k | StepFun | 8* | -- | -- | -- | -- | |
Llama 3.3 70B | 128k | Meta | 8* | -- | 93 | 1.71 | 7.10 | |
Llama Nemotron Ultra | 128k | NVIDIA | 8* | -- | -- | -- | -- | |
ERNIE 4.5 300B A47B | 131k | Baidu | 8* | -- | -- | -- | -- | |
Hermes 4 405B | 128k | Nous Research | 7* | -- | 39 | 2.42 | 67.12 | |
NVIDIA Nemotron Nano 12B v2 VL | 128k | NVIDIA | 7* | -- | -- | -- | -- | |
Gemma 4 E4B (non-reasoning) | 128k | Google | 7* | -- | 36 | 0.81 | 14.64 | |
NVIDIA Nemotron Nano 9B V2 | 131k | NVIDIA | 7* | -- | 235 | 0.56 | 11.22 | |
Hermes 4 405B (non-reasoning) | 128k | Nous Research | 7* | -- | 38 | 2.30 | 15.33 | |
K2-V2 (low) | 512k | Institute of Foundation Models | 7* | -- | -- | -- | -- | |
Kimi Linear 48B A3B Instruct | 1M | Kimi | 7* | -- | -- | -- | -- | |
Llama 3.1 405B | 128k | Meta | 7* | -- | -- | -- | -- | |
LFM2.5-8B-A1B | 32.8k | Liquid AI | 7* | -- | -- | -- | -- | |
Ring-flash-2.0 | 128k | InclusionAI | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Think | 65.5k |  Allen Institute for AI | 7* | -- | -- | -- | -- | |
Command A | 256k | Cohere | 7* | -- | 63 | 1.70 | 9.65 | |
Qwen3.5 2B | 262k | Alibaba | 7* | -- | -- | -- | -- | |
Nemotron 3 Nano (non-reasoning) | 1M | NVIDIA | 7* | -- | 249 | 0.53 | 2.54 | |
NVIDIA Nemotron Nano 9B V2 (non-reasoning) | 131k | NVIDIA | 7* | -- | 171 | 1.04 | 3.96 | |
Hermes 4 70B (non-reasoning) | 128k | Nous Research | 7* | -- | -- | -- | -- | |
Sarvam 30B (high) | 65.5k | Sarvam | 7* | -- | -- | -- | -- | |
Olmo 3.1 32B Instruct | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Gemma 4 E2B (non-reasoning) | 128k | Google | 6* | -- | -- | -- | -- | |
Llama 4 Scout | 10M | Meta | 6 | $0.11 | 80 | 0.97 | 7.21 | |
R1 1776 | 128k |  Perplexity | 6* | -- | -- | -- | -- | |
Llama 3.2 90B (Vision) | 128k | Meta | 6* | -- | -- | -- | -- | |
Celeris-1 | 131k | Celeris | 6 | $0.05 | 1,459 | 0.59 | 0.93 | |
Phi-4 Mini | 128k |  Microsoft | 6* | -- | 46 | 0.82 | 11.62 | |
EXAONE 4.0 32B (non-reasoning) | 131k | LG AI Research | 6* | -- | -- | -- | -- | |
Qwen3.5 2B (non-reasoning) | 262k | Alibaba | 6* | -- | -- | -- | -- | |
Qwen3.5 0.8B | 262k | Alibaba | 6* | -- | -- | -- | -- | |
DeepHermes 3 - Mistral 24B (non-reasoning) | 32k | Nous Research | 6* | -- | -- | -- | -- | |
Jamba 1.7 Large | 256k |  AI21 Labs | 6* | -- | -- | -- | -- | |
Granite 4.0 H Small | 128k | IBM | 6* | -- | 14 | 35.51 | 70.25 | |
Ministral 3 14B | 256k | Mistral | 6 | $0.02 | 82 | 1.08 | 7.21 | |
Qwen3 Omni 30B A3B | 65.5k | Alibaba | 6* | -- | 96 | 1.87 | 7.06 | |
LFM2 24B A2B | 32.8k | Liquid AI | 6* | -- | -- | -- | -- | |
Phi-4 | 16k | Microsoft | 6* | -- | 41 | 2.56 | 14.61 | |
Nova Micro | 130k | Amazon | 6* | -- | 320 | 0.84 | 2.40 | |
NVIDIA Nemotron Nano 12B v2 VL (non-reasoning) | 128k | NVIDIA | 6* | -- | 205 | 1.10 | 3.54 | |
Phi-4 Multimodal | 128k | Microsoft | 6* | -- | -- | -- | -- | |
MiniCPM-V 4.6 1.3B | 262k | OpenBMB | 6* | -- | -- | -- | -- | |
Jamba Reasoning 3B | 262k | AI21 Labs | 6* | -- | -- | -- | -- | |
Reka Flash 3 | 128k |  Reka AI | 6* | -- | 87 | 1.48 | 30.37 | |
Olmo 3 7B Think | 65.5k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Molmo 7B-D | 4.1k | Allen Institute for AI | 6* | -- | -- | -- | -- | |
Ministral 3 8B | 256k | Mistral | 5 | $0.01 | 106 | 0.79 | 5.52 | |
Llama 3.2 11B (Vision) | 128k | Meta | 5* | -- | 23 | 1.62 | 23.82 | |
Qwen3.5 0.8B (non-reasoning) | 262k | Alibaba | 5* | -- | -- | -- | -- | |
Exaone 4.0 1.2B | 64k | LG AI Research | 5* | -- | -- | -- | -- | |
Olmo 3 7B | 65.5k | Allen Institute for AI | 5* | -- | -- | -- | -- | |
Exaone 4.0 1.2B (non-reasoning) | 64k | LG AI Research | 5* | -- | -- | -- | -- | |
LFM2.5-1.2B-Thinking | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Jamba 1.7 Mini | 258k | AI21 Labs | 5* | -- | -- | -- | -- | |
LFM2.5-1.2B-Instruct | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Granite 4.0 H 1B | 128k | IBM | 5* | -- | -- | -- | -- | |
Gemma 3 270M | 32k | Google | 5* | -- | -- | -- | -- | |
Apertus 70B Instruct | 65.5k |  Swiss AI Initiative | 5* | -- | -- | -- | -- | |
Granite 4.0 Micro | 128k | IBM | 5* | -- | -- | -- | -- | |
DeepHermes 3 - Llama-3.1 8B (non-reasoning) | 128k | Nous Research | 5* | -- | -- | -- | -- | |
Molmo2-8B | 36.9k | Allen Institute for AI | 5* | -- | -- | -- | -- | |
Ministral 3 3B | 256k | Mistral | 5 | $0.01 | 203 | 0.72 | 3.18 | |
LFM2.5-VL-1.6B | 32k | Liquid AI | 5* | -- | -- | -- | -- | |
Granite 4.0 350M | 32.8k | IBM | 5* | -- | -- | -- | -- | |
Tiny Aya Global | 8.19k | Cohere | 5* | -- | -- | -- | -- | |
Apertus 8B Instruct | 65.5k | Swiss AI Initiative | 5* | -- | -- | -- | -- | |
Granite 4.0 H 350M | 32.8k | IBM | 5* | -- | -- | -- | -- | |
Nemotron 3 Nano 4B | 262k | NVIDIA | 5 | -- | -- | -- | -- | |
K2 Horizon 0.9B | 131k | Institute of Foundation Models | 3 | -- | -- | -- | -- | |
EXAONE 4.5 33B (non-reasoning) | 262k | LG AI Research | -- | -- | -- | -- | -- | |
GPT-6 Sol (Daybreak Blue, max) | 1.05M | OpenAI | -- | -- | -- | -- | -- | |
Gemini 3 Deep Think | 128k | Google | -- | -- | -- | -- | -- | |
GPT-5.5 Pro (xhigh) | 922k | OpenAI | -- | -- | -- | -- | -- | |
Cogito v2.1 | 128k |  Deep Cogito | -- | -- | -- | -- | -- | |
Definiciones clave
Preguntas frecuentes
Claude Opus 5.5 (Max, Default Fallback) ocupa actualmente el puesto #1 en el ranking de modelos LLM de Artificial Analysis, con una puntuación de 58 en el Intelligence Index, entre 132 modelos clasificados.
Los mejores modelos según el Intelligence Index son: 1. Claude Opus 5.5 (Max, Default Fallback) (58), 2. Claude Sonnet 5.5 (Max, Default Fallback) (56), 3. Claude Opus 5.5 (Xhigh, Default Fallback) (56), 4. Muse Wonder Full (Max) (56), 5. Claude Opus 5.5 (High, Default Fallback) (54).
Celeris-1 es el más rápido con 1,458.8 tokens por segundo, seguido por K2 Horizon 375B A23B (891.4 t/s) y Mercury 2.5 (740.0 t/s).
K2 Horizon 375B A23B tiene el menor costo por tarea del Intelligence Index con $0.00, seguido por Gemma 4 31B (Reasoning) ($0.00) y Command A+ ($0.00).
MiMo-V2.6-Pro es el modelo con pesos abiertos mejor clasificado, con una puntuación de 46 en el Intelligence Index. Hay 64 modelos con pesos abiertos de un total de 132 en el ranking.
Los mejores modelos con pesos abiertos según el Intelligence Index son: 1. MiMo-V2.6-Pro (46), 2. GLM-5.3 (Max) (45), 3. Kimi K3 (Max) (44).
Claude Opus 5.5 (Max, Default Fallback) lidera entre 120 modelos de razonamiento, con una puntuación de 58 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. 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