Comparación a ciegas de respuestas en francés. Necesita una selección propia porque el orden de los modelos cambia notablemente de una lengua a otra, y la clasificación general no muestra esa diferencia.
| # | Modelo | Desarrollador | Arena Score, francés | Acceso$ / 1M | Salida$ / 1M | Contextotokens |
|---|---|---|---|---|---|---|
| 1 | Claude Opus 5 | Anthropic | 1.522,24 1.479–1.565 | $5 | $25 | 1.000K |
| 2 | Claude Fable 5 ≈ | Anthropic | 1.519,66 1.494–1.545 | $10 | $50 | 1.000K |
| 3 | GPT-5.6 Terra ≈ | OpenAI | 1.503,02 1.465–1.542 | $2 | $12 | 1.050K |
| 4 | Muse Spark 1.1 ≈ | Meta AI | 1.501,23 1.470–1.533 | $1,25 | $4,25 | 1.049K |
| 5 | Claude Opus 4.7 ≈ | Anthropic | 1.499,99 1.484–1.516 | $5 | $25 | 1.000K |
| 6 | Claude Opus 4.6 ≈ | Anthropic | 1.497,74 1.483–1.513 | $5 | $25 | 1.000K |
| 7 | Gemini 3 Pro ≈ | Google DeepMind | 1.495,19 1.474–1.516 | $1,6 | $9,6 | 1.049K |
| 8 | Gemini 3 Flash ≈ | Google DeepMind | 1.491,08 1.468–1.514 | $0,4 | $2,4 | 1.049K |
| 9 | Gemini 3.6 Flash ≈ | Google DeepMind | 1.489,78 1.454–1.526 | $1,5 | $7,5 | 1.049K |
| 10 | MiMo V2.5 Pro ≈ | Xiaomi | 1.489,7 1.473–1.506 | $0,44 | $0,87 | 1.050K |
| 11 | Gemini 3.1 Pro Preview ≈ | Google DeepMind | 1.488,01 1.474–1.502 | $2 | $12 | 1.049K |
| 12 | ERNIE 5.1 ≈ | Baidu (Ernie) | 1.483,39 1.465–1.501 | $0,75 | $3 | 119K |
| 13 | Grok 4.20 (Reasoning) ≈ | xAI | 1.477,38 1.462–1.493 | $2 | $6 | 2.000K |
| 14 | Claude 4.5 Opus ≈ | Anthropic | 1.477,28 1.461–1.493 | $5 | $25 | 200K |
| 15 | GLM 5.2 ≈ | Zhipu AI / Z.ai | 1.476,9 1.454–1.500 | $0,42 | $1,32 | 1.049K |
| 16 | Qwen3.7 Plus ≈ | Alibaba (Qwen) | 1.475,27 1.455–1.496 | $0,5 | $3 | 1.000K |
| 17 | GLM 5.1 ≈ | Zhipu AI / Z.ai | 1.474,78 1.456–1.494 | $0,06 | $0,22 | 205K |
| 18 | Claude Opus 4.8 ≈ | Anthropic | 1.471,76 1.453–1.490 | $5 | $25 | 1.000K |
| 19 | Gemini 2.5 Pro ≈ | Google DeepMind | 1.470,66 1.456–1.485 | $1,25 | $10 | 1.049K |
| 20 | Kimi K2.6 ≈ | Moonshot AI (Kimi) | 1.469,9 1.452–1.487 | $0,22 | $1,14 | 262K |
| 21 | Grok 4.20 Multi Agent Beta 0309 ≈ | xAI | 1.468,57 1.453–1.484 | $2 | $6 | 2.000K |
| 22 | MiMo V2 Pro ≈ | Xiaomi | 1.467,9 1.446–1.489 | $0,44 | $0,87 | 1.049K |
| 23 | Gemma 4 26B-A4B ≈ | Google DeepMind | 1.466,68 1.426–1.507 | $0,05 | $0,29 | 262K |
| 24 | Seed 2.0 Pro ≈ | ByteDance (Doubao) | 1.466,36 1.451–1.481 | $0,5 | $3 | 131K |
| 25 | GPT-5.6 Sol ≈ | OpenAI | 1.465,3 1.430–1.501 | $5 | $30 | 1.050K |
| 26 | Mistral Large 3 ≈ | Mistral AI | 1.465,23 1.448–1.483 | $0,5 | $1,5 | 256K |
| 27 | DeepSeek V4 Pro ≈ | DeepSeek | 1.465,07 1.449–1.481 | $0,44 | $0,87 | 1.049K |
| 28 | Claude Sonnet 4.6 ≈ | Anthropic | 1.464,7 1.449–1.481 | $3 | $15 | 1.000K |
| 29 | Claude Sonnet 5 ≈ | Anthropic | 1.464,66 1.438–1.491 | $2 | $10 | 1.000K |
| 30 | GLM 4.6 ≈ | Zhipu AI / Z.ai | 1.461,66 1.437–1.486 | $0,29 | $1,14 | 205K |
| 31 | Mistral Medium 3.1 ≈ | Mistral AI | 1.461,53 1.447–1.477 | $0,4 | $2 | 262K |
| 32 | Gemini 3.5 Flash ≈ | Google DeepMind | 1.460,6 1.427–1.494 | $1,5 | $9 | 1.049K |
| 33 | Qwen3 VL 235B A22B Instruct ≈ | Alibaba (Qwen) | 1.459,98 1.418–1.502 | $0,4 | $1,6 | 262K |
| 34 | Qwen3 Max Preview ≈ | Alibaba (Qwen) | 1.459,67 1.430–1.490 | $1,2 | $6 | 256K |
| 35 | Longcat Flash Chat ≈ | Meituan | 1.459,11 1.412–1.506 | — | — | 131K |
| 36 | Inkling ≈ | Thinking Machines Lab | 1.458,2 1.423–1.494 | $1,87 | $4,68 | 1.049K |
| 37 | Qwen3.5 397B-A17B ≈ | Alibaba (Qwen) | 1.457,54 1.442–1.473 | $0,6 | $3,6 | 262K |
| 38 | Claude Sonnet 4.5 ≈ | Anthropic | 1.457,25 1.441–1.473 | $3 | $15 | 1.000K |
| 39 | GLM 5 ≈ | Zhipu AI / Z.ai | 1.457,22 1.436–1.479 | $0,48 | $1,9 | 205K |
| 40 | Qwen3.6 Max Preview ≈ | Alibaba (Qwen) | 1.455,35 1.413–1.498 | $1,3 | $7,8 | 262K |
| 41 | DeepSeek V3.1 ≈ | DeepSeek | 1.455,24 1.418–1.492 | $0,2 | $0,7 | 164K |
| 42 | Grok 4.5 ≈ | xAI | 1.454,67 1.422–1.488 | $2 | $6 | 500K |
| 43 | GLM 5V Turbo ≈ | Zhipu AI / Z.ai | 1.454,15 1.422–1.486 | $0,7 | $3,1 | 203K |
| 44 | Gemini 3.5 Flash Lite ≈ | Google DeepMind | 1.453,97 1.412–1.496 | $0,3 | $2,5 | 1.049K |
| 45 | Kimi K2.5 Thinking TEE ≈ | Moonshot AI (Kimi) | 1.453,7 1.439–1.468 | $0,3 | $1,9 | 256K |
| 46 | Qwen3.6 Plus ≈ | Alibaba (Qwen) | 1.450,58 1.434–1.467 | $0,5 | $3 | 1.000K |
| 47 | Qwen3 235B A22B Instruct 2507 ≈ | Alibaba (Qwen) | 1.449,75 1.435–1.464 | $0,1 | $0,1 | 262K |
| 48 | Mistral Medium 3.5 ≈ | Mistral AI | 1.449,37 1.419–1.480 | $1,5 | $7,5 | 262K |
| 49 | MiMo V2 Omni ≈ | Xiaomi | 1.446,41 1.424–1.469 | $0,14 | $0,28 | 262K |
| 50 | Grok 4.1 ≈ | xAI | 1.446,22 1.430–1.463 | $2 | $10 | 200K |
| 51 | ChatGPT 4o Latest ≈ | OpenAI | 1.445,13 1.428–1.463 | $5 | $15 | 128K |
| 52 | o3 2025-04-16 ≈ | OpenAI | 1.445,04 1.422–1.468 | $2 | $8 | 200K |
| 53 | MiMo V2.5 ≈ | Xiaomi | 1.443,53 1.427–1.460 | $0,14 | $0,28 | 1.050K |
| 54 | Qwen3.5 122B-A10B ≈ | Alibaba (Qwen) | 1.442,71 1.421–1.464 | $0,4 | $3,2 | 262K |
| 55 | GPT-5.2 Chat ≈ | OpenAI | 1.442,41 1.421–1.463 | $1,75 | $14 | 128K |
| 56 | MiniMax M3 ≈ | MiniMax | 1.441,49 1.422–1.461 | $0,3 | $1,2 | 1.049K |
| 57 | Gemma 4 31B ≈ | Google DeepMind | 1.437,84 1.400–1.475 | $0,14 | $0,4 | 262K |
| 58 | 2025) ≈ | Google DeepMind | 1.437,16 1.411–1.464 | $0,3 | $2,5 | 1.049K |
| 59 | DeepSeek V3.2 Exp ≈ | DeepSeek | 1.436,53 1.394–1.479 | $0,22 | $0,33 | 164K |
| 60 | DeepSeek V4 Flash ≈ | DeepSeek | 1.433,69 1.417–1.450 | $0,14 | $0,28 | 1.049K |
| 61 | Grok 4 Fast Reasoning ≈ | xAI | 1.433,69 1.398–1.470 | $0,2 | $0,5 | 2.000K |
| 62 | Gemini 2.5 Flash ≈ | Google DeepMind | 1.431,82 1.418–1.445 | $0,3 | $2,5 | 1.049K |
| 63 | DeepSeek V3.2 ≈ | DeepSeek | 1.431,79 1.413–1.451 | $0,28 | $0,4 | 164K |
| 64 | GPT-5.6 Luna ≈ | OpenAI | 1.430,38 1.396–1.465 | $0,2 | $1,2 | 1.050K |
| 65 | GPT-5.5 Instant ≈ | OpenAI | 1.427,7 1.407–1.448 | $5 | $30 | 400K |
| 66 | Claude 4.1 Opus ≈ | Anthropic | 1.427,47 1.410–1.445 | $15 | $75 | 200K |
| 67 | GLM 4.7 ≈ | Zhipu AI / Z.ai | 1.426,59 1.390–1.463 | $0,15 | $0,8 | 205K |
| 68 | MiMo V2 Flash (Thinking) ≈ | Xiaomi | 1.426,42 1.393–1.459 | $0,1 | $0,31 | 256K |
| 69 | Grok 4 ≈ | xAI | 1.425,25 1.399–1.452 | $3 | $15 | 256K |
| 70 | GLM 4.5 ≈ | Zhipu AI / Z.ai | 1.424,96 1.391–1.459 | $0,2 | $0,8 | 131K |
| 71 | Kimi K2 Thinking Turbo ≈ | Moonshot AI (Kimi) | 1.424,58 1.408–1.442 | $1,15 | $8 | 262K |
| 72 | Gemini 3.1 Flash Lite Preview ≈ | Google DeepMind | 1.421,95 1.406–1.438 | $0,25 | $1,5 | 1.049K |
| 73 | MiniMax M2.7 ≈ | MiniMax | 1.420,92 1.405–1.437 | $0,3 | $1,2 | 205K |
| 74 | Qwen3 30B A3B Instruct 2507 ≈ | Alibaba (Qwen) | 1.420,39 1.387–1.454 | $0,05 | $0,19 | 262K |
| 75 | DeepSeek R1 0528 ≈ | DeepSeek | 1.420,34 1.381–1.460 | $0,25 | $0,25 | 164K |
| 76 | Step 3.5 Flash ≈ | StepFun | 1.419,49 1.404–1.435 | $0,1 | $0,3 | 262K |
| 77 | GPT 4.5 Preview ≈ | OpenAI | 1.418,01 1.362–1.474 | $75 | $150 | 128K |
| 78 | Qwen3 Next 80B A3B Instruct ≈ | Alibaba (Qwen) | 1.416,22 1.384–1.448 | $0,15 | $1,2 | 262K |
| 79 | Qwen3.5 35B A3B ≈ | Alibaba (Qwen) | 1.416,21 1.394–1.438 | $0,25 | $2 | 262K |
| 80 | MiMo V2 Flash ≈ | Xiaomi | 1.415,78 1.398–1.434 | $0,14 | $0,28 | 262K |
| 81 | Grok 4.1 Fast Reasoning ≈ | xAI | 1.415,7 1.398–1.433 | $0,2 | $0,5 | 2.000K |
| 82 | GPT 5 Chat ≈ | OpenAI | 1.412,24 1.382–1.442 | $1,25 | $10 | 128K |
| 83 | Qwen3.5 Flash ≈ | Alibaba (Qwen) | 1.409,81 1.395–1.425 | $0,09 | $0,36 | 1.000K |
| 84 | Nemotron 3 Super ≈ | NVIDIA | 1.408,44 1.371–1.446 | $0,2 | $0,8 | 1.000K |
| 85 | GLM 4.5 Air ≈ | Zhipu AI / Z.ai | 1.408,18 1.380–1.437 | $0,11 | $0,29 | 131K |
| 86 | Grok 4.3 ≈ | xAI | 1.407,87 1.391–1.424 | $1,25 | $2,5 | 1.000K |
| 87 | Claude Haiku 4.5 ≈ | Anthropic | 1.406,71 1.393–1.420 | $1 | $5 | 200K |
| 88 | Qwen3.5 27B ≈ | Alibaba (Qwen) | 1.405,13 1.383–1.428 | $0,3 | $2,4 | 262K |
| 89 | GPT-5.3 Chat (latest) ≈ | OpenAI | 1.398,96 1.378–1.420 | $1,75 | $14 | 128K |
| 90 | Nemotron 3 Nano 30B A3B ≈ | NVIDIA | 1.396,01 1.364–1.428 | $0,05 | $0,2 | 262K |
| 91 | Qwen3 Coder 480B A35B ≈ | Alibaba (Qwen) | 1.393,89 1.363–1.425 | $1,5 | $7,5 | 262K |
| 92 | DeepSeek Chat 0324 ≈ | DeepSeek | 1.388,26 1.362–1.414 | $0,2 | $0,6 | 164K |
| 93 | MiniMax M1 ≈ | MiniMax | 1.386,26 1.358–1.415 | $0,13 | $1,25 | 1.000K |
| 94 | Gemini 2.5 Flash Lite Preview ≈ | Google DeepMind | 1.384,87 1.355–1.415 | $0,1 | $0,4 | 1.049K |
| 95 | GPT 4.1 2025-04-14 ≈ | OpenAI | 1.381,97 1.359–1.405 | $2 | $8 | 1.048K |
| 96 | Hunyuan TurboS ≈ | Tencent (Hunyuan) | 1.381,79 1.334–1.430 | — | — | 131K |
| 97 | Trinity Large Preview ≈ | Arcee AI | 1.379,89 1.358–1.402 | — | — | 131K |
| 98 | Kimi K2 0905 Preview ≈ | Moonshot AI (Kimi) | 1.378,45 1.337–1.420 | $0,6 | $2,5 | 262K |
| 99 | Nova 2 Lite ≈ | Amazon | 1.376,95 1.337–1.417 | $0,3 | $2,5 | 1.000K |
| 100 | GPT OSS 120B ≈ | OpenAI | 1.372,17 1.343–1.402 | $0,03 | $0,14 | 131K |
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 99 modelos — su orden entre sí no está determinado por los datos disponibles.
El intervalo de confianza de la mitad de los modelos supera 45,3 puntos — es decir, unas 30 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 781: cuantos menos hay, más ancho es el intervalo.
Arena (LMArena)
— licencia CC-BY-4.0 · fuente original
По данным Arena (LMArena)