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Modelos disponibles

Todos se usan con la misma clave y el mismo saldo en pesos, por chat o por API. Cambias de modelo cuando quieras: se cobra por tokens, sin planes ni mínimos.

DeepSeek

DeepSeek V4-Flash

Por defectodeepseek-v4-flash

el más rápido

Entrada / 1M tokens
$193
Salida / 1M tokens
$387
Contexto máx.
1.044.480 tokens
Salida máx.
—
Z.ai

GLM-5.1

glm-5.1
Entrada / 1M tokens
$1.082
Salida / 1M tokens
$3.787
Contexto máx.
1.048.576 tokens
Salida máx.
—
Caché con descuento
Z.ai

GLM-5.2

glm-5.2
Entrada / 1M tokens
$1.405
Salida / 1M tokens
$4.414
Contexto máx.
1.048.576 tokens
Salida máx.
—
Lee imágenesCaché con descuento
Claude

Claude Sonnet 4.6

claude-sonnet-4.6
Entrada / 1M tokens
$5.016
Salida / 1M tokens
$22.931
Contexto máx.
200.000 tokens
Salida máx.
—
Lee imágenesCaché con descuento
Z.ai

GLM-5.3

glm-5.3

GLM-5.3 is Zhipu's latest flagship model, with comprehensive advancements in complex software engineering and agentic task capabilities. It shares the same base model as GLM-5.2—all improvements come from post-training. Compared to GLM-5.2, it demonstrates superior performance in complex programming and long-horizon tasks: -Stronger programming capabilities GLM-5.3 delivers a significant boost in programming ability, achieving a 50% improvement over GLM-5.2 on Zhipu's internal Z.ai Code Bench, and reaching open-source SOTA performance on public benchmarks including Terminal Bench 3.0 and Agents' Last Exam (CLI). -Emergent cybersecurity capabilities As post-training scale continues to expand, the model's cybersecurity capabilities improve at a faster-than-expected pace. GLM-5.3 achieves state-of-the-art results on the vulnerability discovery benchmark CyberGym; the deeper it goes into the exploit chain, the more pronounced its gains over GLM-5.2 become, with scores more than doubling those of GLM-5.2 on exploit-oriented benchmark tests.

Entrada / 1M tokens
$2.007
Salida / 1M tokens
$6.306
Contexto máx.
1.048.576 tokens
Salida máx.
131.072 tokens
Caché con descuento
DeepSeek

DeepSeek V4.1-Flash

deepseek-v4.1-flash

DeepSeek-V4.1-Flash is a new-generation large language model officially released by DeepSeek on September 10, 2026. The model uses a 552B-parameter MoE (Mixture-of-Experts) architecture, paired with an all-new asymmetric Causal-Encoder-Decoder structure. During the prefill stage, it activates only about 8B parameters per token, and during the decode stage, it activates about 16B parameters. In terms of KV cache compression, V4.1 Flash reduces HBM memory requirements to one-quarter of the previous generation and SSD storage requirements to one-eighth, significantly lowering the usage cost of agent-style long-context tasks.

Entrada / 1M tokens
$215
Salida / 1M tokens
$860
Contexto máx.
1.048.576 tokens
Salida máx.
393.216 tokens
Lee imágenesCaché con descuento

Los precios son por millón de tokens, IVA incluido, y se descuentan de tu saldo según lo que uses. El contexto máximo es el límite del proveedor: configura tu cliente por debajo de esa cifra. Ver la documentación de la API →