K-EXAONE (Reasoning) logo
LG AI Research
•

K-EXAONE

•

Open weights model

•

Released December 2025

K-EXAONE (Reasoning) Benchmarks y análisis de proveedores de API

Comparación de modelos

Análisis de proveedores de API para K-EXAONE (Reasoning) en métricas de rendimiento como latencia (tiempo hasta el primer token), velocidad de salida (tokens de salida por segundo), precio y otras. Los proveedores de API medidos incluyen .

Más rápido

Velocidad de salida

0 proveedores en total

Menor latencia

Tiempo hasta el primer token de respuesta

0 proveedores en total

Menor precio

Precio combinado (por 1M de tokens)

0 proveedores en total

Actualmente no hay proveedores de API disponibles para K-EXAONE.

Los benchmarks de proveedores no están disponibles para este modelo.

Consulta la página del modelo K-EXAONE (Reasoning) para ver detalles del modelo y cómo se compara su inteligencia con otros modelos.

Aspectos destacados

Velocidad

Output tokens per second · Higher is better
No data available

Tiempo de respuesta de extremo a extremo

Seconds · Lower is better
No data available

Precio

USD per 1M tokens (blended) · Lower is better
No data available

Actualización: La carga de trabajo predeterminada de medición de rendimiento se actualizó a 10k tokens de entrada para reflejar mejor los casos de uso en producción. Aún puedes seleccionar distintas cargas de trabajo arriba.

Precios

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Lower is better · 10,000 input tokens
No data available

Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail.

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better
No data available

Price per token, shown in USD per million tokens. Price is a blend of cache hit, input, and output token prices using the selected ratio (default 7:2:1 cache-input-output).

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Velocidad

Medida por la velocidad de salida (tokens por segundo)

Output Speed: K-EXAONE (Reasoning)

Output speed: output tokens per second · 10,000 input tokens
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Figures represent performance of the model's first-party API (e.g. OpenAI for o1) or the median across providers where a first-party API is not available (e.g. Meta's Llama models).

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
Most attractive quadrant
No data available

Tokens per second received while the model is generating tokens (ie. after first chunk has been received from the API for models which support streaming).

Latencia

Medida por el tiempo (segundos) hasta el primer token

Tiempo hasta el primer token de respuesta

Seconds to first token received · Lower is better · 10,000 input tokens
No data available

Time to first answer token received, in seconds, after API request sent. For reasoning models, this includes the 'thinking' time of the model before providing an answer. For models which do not support streaming, this represents time to receive the completion.

Figures represent median (P50) measurement over the past 72 hours to reflect sustained changes in performance.

Tiempo de respuesta de extremo a extremo

Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed

Tiempo de respuesta de extremo a extremo

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens
No data available

Seconds to receive a 500 token response. Key components:

  • Input time: Time to receive the first response token
  • Thinking time (only for reasoning models): Time reasoning models spend outputting tokens to reason prior to providing an answer. Amount of tokens based on the average reasoning tokens across a diverse set of 60 prompts (methodology details).
  • Answer time: Time to generate 500 output tokens, based on output speed

Métricas clave de comparación y funciones de API

No results.

Preguntas frecuentes

Preguntas comunes sobre los proveedores de K-EXAONE (Reasoning)

K-EXAONE (Reasoning) no está disponible actualmente a través de ningún proveedor de API que midamos. Como modelo de pesos abiertos, puede alojarse por cuenta propia.