Hasta qué punto el modelo entiende una imagen junto con el texto: comparación a ciegas de respuestas a peticiones que llevan una imagen adjunta. No confundir con la generación de imágenes: allí el modelo dibuja, aquí mira.
| # | Modelo | Desarrollador | Arena Score, imágenes | Acceso$ / 1M | Salida$ / 1M | Contextotokens |
|---|---|---|---|---|---|---|
| 1 | Claude Fable 5 | Anthropic | 1.334,18 1.325–1.343 | $10 | $50 | 1.000K |
| 2 | Claude Opus 5 ≈ | Anthropic | 1.328,68 1.314–1.343 | $5 | $25 | 1.000K |
| 3 | Gemini 3.6 Flash ≈ | Google DeepMind | 1.315,75 1.278–1.354 | $1,5 | $7,5 | 1.049K |
| 4 | Claude Opus 4.7 ≈ | Anthropic | 1.314,84 1.308–1.322 | $5 | $25 | 1.000K |
| 5 | Claude Opus 4.6 ≈ | Anthropic | 1.312,19 1.306–1.319 | $5 | $25 | 1.000K |
| 6 | Gemini 3 Pro ≈ | Google DeepMind | 1.304,71 1.297–1.312 | $1,6 | $9,6 | 1.049K |
| 7 | Gemini 3.5 Flash ≈ | Google DeepMind | 1.301,48 1.289–1.314 | $1,5 | $9 | 1.049K |
| 8 | Muse Spark 1.1 ≈ | Meta AI | 1.295,72 1.285–1.306 | $1,25 | $4,25 | 1.049K |
| 9 | Gemini 3.1 Pro Preview ≈ | Google DeepMind | 1.295,15 1.289–1.301 | $2 | $12 | 1.049K |
| 10 | Grok 4.5 ≈ | xAI | 1.293,37 1.281–1.306 | $2 | $6 | 500K |
| 11 | Claude Opus 4.8 ≈ | Anthropic | 1.287,87 1.280–1.296 | $5 | $25 | 1.000K |
| 12 | Gemini 3 Flash ≈ | Google DeepMind | 1.283,64 1.278–1.289 | $0,4 | $2,4 | 1.049K |
| 13 | Kimi K2.6 ≈ | Moonshot AI (Kimi) | 1.282,13 1.275–1.289 | $0,22 | $1,14 | 262K |
| 14 | Claude Sonnet 5 ≈ | Anthropic | 1.281,86 1.272–1.292 | $2 | $10 | 1.000K |
| 15 | Claude Sonnet 4.6 ≈ | Anthropic | 1.281,47 1.275–1.288 | $3 | $15 | 1.000K |
| 16 | Qwen3.7 Plus ≈ | Alibaba (Qwen) | 1.277,36 1.268–1.286 | $0,5 | $3 | 1.000K |
| 17 | GPT-5.6 Terra ≈ | OpenAI | 1.276,97 1.263–1.291 | $2 | $12 | 1.050K |
| 18 | Seed 2.0 Pro ≈ | ByteDance (Doubao) | 1.275,5 1.268–1.283 | $0,5 | $3 | 131K |
| 19 | GPT-5.6 Sol ≈ | OpenAI | 1.273,53 1.260–1.287 | $5 | $30 | 1.050K |
| 20 | Gemma 4 31B ≈ | Google DeepMind | 1.271,6 1.265–1.278 | $0,14 | $0,4 | 262K |
| 21 | GPT-5.2 Chat ≈ | OpenAI | 1.266,98 1.260–1.274 | $1,75 | $14 | 128K |
| 22 | Qwen3.5 397B-A17B ≈ | Alibaba (Qwen) | 1.266,03 1.260–1.272 | $0,6 | $3,6 | 262K |
| 23 | Kimi K2.5 Thinking TEE ≈ | Moonshot AI (Kimi) | 1.265,7 1.260–1.272 | $0,3 | $1,9 | 256K |
| 24 | GLM 5V Turbo ≈ | Zhipu AI / Z.ai | 1.264,04 1.258–1.271 | $0,7 | $3,1 | 203K |
| 25 | Gemini 2.5 Pro ≈ | Google DeepMind | 1.261,67 1.257–1.266 | $1,25 | $10 | 1.049K |
| 26 | Grok 4.20 (Reasoning) ≈ | xAI | 1.261,56 1.255–1.268 | $2 | $6 | 2.000K |
| 27 | Grok 4.20 Multi Agent Beta 0309 ≈ | xAI | 1.259,73 1.253–1.266 | $2 | $6 | 2.000K |
| 28 | MiniMax M3 ≈ | MiniMax | 1.258,26 1.250–1.267 | $0,3 | $1,2 | 1.049K |
| 29 | Gemma 4 26B-A4B ≈ | Google DeepMind | 1.256,71 1.250–1.264 | $0,05 | $0,29 | 262K |
| 30 | Gemini 3.5 Flash Lite ≈ | Google DeepMind | 1.256,63 1.220–1.294 | $0,3 | $2,5 | 1.049K |
| 31 | MiMo V2.5 ≈ | Xiaomi | 1.253,53 1.247–1.260 | $0,14 | $0,28 | 1.050K |
| 32 | GPT-5.5 Instant ≈ | OpenAI | 1.250,81 1.242–1.260 | $5 | $30 | 400K |
| 33 | GPT-5.6 Luna ≈ | OpenAI | 1.248,77 1.235–1.262 | $0,2 | $1,2 | 1.050K |
| 34 | 2025) ≈ | Google DeepMind | 1.248,77 1.239–1.259 | $0,3 | $2,5 | 1.049K |
| 35 | Qwen3 VL 235B A22B Instruct ≈ | Alibaba (Qwen) | 1.246,72 1.240–1.254 | $0,4 | $1,6 | 262K |
| 36 | Qwen3.5 122B-A10B ≈ | Alibaba (Qwen) | 1.246,04 1.239–1.253 | $0,4 | $3,2 | 262K |
| 37 | ChatGPT 4o Latest ≈ | OpenAI | 1.244,77 1.239–1.250 | $5 | $15 | 128K |
| 38 | Qwen3.5 27B ≈ | Alibaba (Qwen) | 1.240,78 1.234–1.247 | $0,3 | $2,4 | 262K |
| 39 | Gemini 3.1 Flash Lite Preview ≈ | Google DeepMind | 1.240,09 1.234–1.246 | $0,25 | $1,5 | 1.049K |
| 40 | Gemini 2.5 Flash ≈ | Google DeepMind | 1.235,38 1.231–1.240 | $0,3 | $2,5 | 1.049K |
| 41 | Grok 4.3 ≈ | xAI | 1.232,65 1.225–1.240 | $1,25 | $2,5 | 1.000K |
| 42 | GPT 5 Chat ≈ | OpenAI | 1.231,63 1.225–1.239 | $1,25 | $10 | 128K |
| 43 | MiMo V2 Omni ≈ | Xiaomi | 1.229,11 1.221–1.237 | $0,14 | $0,28 | 262K |
| 44 | Mistral Large 3 ≈ | Mistral AI | 1.224,01 1.210–1.238 | $0,5 | $1,5 | 256K |
| 45 | Mistral Medium 3.5 ≈ | Mistral AI | 1.221,76 1.212–1.232 | $1,5 | $7,5 | 262K |
| 46 | o3 2025-04-16 ≈ | OpenAI | 1.215,41 1.209–1.222 | $2 | $8 | 200K |
| 47 | GPT 4.1 2025-04-14 ≈ | OpenAI | 1.209,86 1.203–1.217 | $2 | $8 | 1.048K |
| 48 | Grok 4 ≈ | xAI | 1.208,77 1.201–1.216 | $3 | $15 | 256K |
| 49 | Qwen3 VL 235B A22B Thinking ≈ | Alibaba (Qwen) | 1.207,77 1.195–1.220 | $0,4 | $4 | 262K |
| 50 | Grok 4.1 Fast Reasoning ≈ | xAI | 1.200,22 1.193–1.208 | $0,2 | $0,5 | 2.000K |
| 51 | GPT 4.5 Preview ≈ | OpenAI | 1.195,13 1.183–1.207 | $75 | $150 | 128K |
| 52 | o4 Mini 2025-04-16 ≈ | OpenAI | 1.194,83 1.188–1.202 | $1,1 | $4,4 | 200K |
| 53 | Gemini 2.5 Flash Lite Preview ≈ | Google DeepMind | 1.187,49 1.180–1.195 | $0,1 | $0,4 | 1.049K |
| 54 | OpenAI GPT-4.1 Mini ≈ | OpenAI | 1.182,65 1.175–1.190 | $0,4 | $1,6 | 1.048K |
| 55 | Step 3 ≈ | StepFun | 1.176,31 1.165–1.188 | $0,21 | $0,57 | 66K |
| 56 | Claude 4 Sonnet ≈ | Anthropic | 1.175,73 1.162–1.190 | $3 | $15 | 1.000K |
| 57 | Claude 4 Opus ≈ | Anthropic | 1.175,62 1.163–1.189 | $15 | $75 | 200K |
| 58 | Mistral Medium 3.1 ≈ | Mistral AI | 1.172,01 1.166–1.178 | $0,4 | $2 | 262K |
| 59 | o1 2024-12-17 ≈ | OpenAI | 1.168,58 1.158–1.179 | $15 | $60 | 200K |
| 60 | GLM 4.6V ≈ | Zhipu AI / Z.ai | 1.166,43 1.152–1.180 | $0,14 | $0,42 | 131K |
| 61 | Gemma 3 27B ≈ | Google DeepMind | 1.165,18 1.157–1.173 | $0,03 | $0,11 | 131K |
| 62 | Mistral Medium 3 ≈ | Mistral AI | 1.157,54 1.149–1.166 | $0,4 | $2 | 131K |
| 63 | GLM 4.5V ≈ | Zhipu AI / Z.ai | 1.156,05 1.144–1.168 | $0,29 | $0,86 | 128K |
| 64 | Qwen2.5 VL 32B Instruct ≈ | Alibaba (Qwen) | 1.152,49 1.137–1.168 | $0,05 | $0,22 | 128K |
| 65 | Claude Sonnet 3.7 ≈ | Anthropic | 1.151 1.142–1.160 | $3 | $15 | 200K |
| 66 | Llama 4 Maverick 17b 128e Instruct ≈ | Meta AI | 1.142,98 1.134–1.152 | $0,05 | $0,1 | 1.049K |
| 67 | Mistral Small 3.2 ≈ | Mistral AI | 1.142,32 1.133–1.151 | $0,1 | $0,3 | 128K |
| 68 | Mistral Small 3.1 24B Instruct 2503 ≈ | Mistral AI | 1.136,87 1.128–1.145 | $0,1 | $0,3 | 32K |
| 69 | GPT-4o (2024-05-13) ≈ | OpenAI | 1.136,75 1.128–1.145 | $5 | $15 | 128K |
| 70 | Claude 3.5 Sonnet 2024-10-22 ≈ | Anthropic | 1.125,48 1.118–1.133 | $3 | $15 | 200K |
| 71 | Claude Sonnet 3.5 ≈ | Anthropic | 1.120,44 1.110–1.130 | $2,6 | $13 | 200K |
| 72 | Llama 4 Scout 17B 16E Instruct ≈ | Meta AI | 1.118,25 1.109–1.128 | $0,05 | $0,1 | 10.000K |
| 73 | Qwen2.5 VL 72B Instruct ≈ | Alibaba (Qwen) | 1.107,58 1.097–1.118 | $2,8 | $8,4 | 131K |
| 74 | Claude 3.5 Haiku ≈ | Anthropic | 1.092,78 1.077–1.109 | $0,25 | $1,25 | 200K |
| 75 | GPT 4 Turbo 2024-04-09 ≈ | OpenAI | 1.090 1.078–1.102 | $10 | $30 | 128K |
| 76 | Mistral: Pixtral Large 2411 ≈ | Mistral AI | 1.089,58 1.080–1.099 | $2 | $6 | 131K |
| 77 | OpenAI: GPT-4o-mini (2024-07-18) | OpenAI | 1.065,76 1.058–1.074 | $0,15 | $0,6 | 128K |
| 78 | GPT-4o (2024-08-06) ≈ | OpenAI | 1.064,68 1.052–1.077 | $2,5 | $10 | 128K |
| 79 | GPT 4.1 Nano 2025-04-14 ≈ | OpenAI | 1.063,53 1.045–1.082 | $0,1 | $0,4 | 1.048K |
| 80 | Qwen-VL Max ≈ | Alibaba (Qwen) | 1.057,73 1.042–1.074 | $0,8 | $3,2 | 131K |
| 81 | Claude 3 Opus 2024-02-29 | Anthropic | 1.023,06 1.013–1.033 | $15 | $75 | 200K |
| 82 | Pixtral 12B ≈ | Mistral AI | 1.008,72 999–1.018 | $0,15 | $0,15 | 128K |
| 83 | Aya Vision 32B ≈ | Cohere | 995,83 974–1.018 | — | — | 16K |
| 84 | Nova Lite ≈ | Amazon | 990,58 976–1.006 | $0,06 | $0,24 | 300K |
| 85 | Qwen2 VL 7B Instruct ≈ | Alibaba (Qwen) | 990,05 980–1.000 | $0,02 | $0,06 | 131K |
| 86 | Claude 3 Sonnet ≈ | Anthropic | 984,05 973–995 | $3 | $15 | 200K |
| 87 | Nova Pro ≈ | Amazon | 980,58 967–994 | $0,56 | $2,13 | 300K |
| 88 | Anthropic: Claude 3 Haiku | Anthropic | 950,29 938–963 | $0,25 | $1,25 | 200K |
| 89 | Phi-3.5-vision instruct (128k) | Microsoft | 851,6 836–867 | $0,13 | $0,52 | 128K |
| 90 | Phi 3 Vision 128K Instruct | Microsoft | 811,86 793–831 | $0,2 | $0,2 | 32K |
La tabla se desplaza en horizontal: no caben todas las columnas.
El precio es el más bajo entre los proveedores del modelo, tarifa base, sin tarifas por lotes ni reducidas. La entrada y la salida se muestran por separado a propósito: en la mayoría de los modelos la salida cuesta varias veces más que la entrada, y la factura final depende de qué predomine en la tarea.
El signo ≈ marca los modelos cuyo intervalo de confianza se solapa con el de la fila de arriba. Aquí hay 84 modelos — su orden entre sí no está determinado por los datos disponibles.
El intervalo de confianza de la mitad de los modelos supera 18,1 puntos — es decir, unas 3 filas adyacentes de la tabla. Dentro de ese grupo el orden no lo marcan los datos, sino quién votó esta vez; los datos sostienen la diferencia entre el principio y el final de la lista, pero no la vecindad de los puestos. Votos por modelo aquí — mediana 10.507: cuantos menos hay, más ancho es el intervalo.
Arena (LMArena)
— licencia CC-BY-4.0 · fuente original
По данным Arena (LMArena)