¿Dónde puedo acceder a Gemini 2.0 Pro Experimental (Feb '25)?

Artificial Analysis

This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.

Google has launched a newer release, Gemini 2.5 Pro Preview (Mar' 25). We suggest considering it instead.

Google

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Proprietary model

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Released febrero de 2025

Gemini 2.0 Pro Experimental (Feb '25) Benchmarks y análisis de proveedores de API

Comparación de modelos

Este análisis está pensado para ayudarte a elegir el mejor proveedor de API de Gemini 2.0 Pro Experimental (Feb '25) para tu caso de uso.

Más rápido

Velocidad de salida

0 proveedores en total

Menor latencia

Tiempo hasta el primer token

0 proveedores en total

Menor precio

Precio combinado (por 1M de tokens)

0 proveedores en total

Actualmente no hay proveedores de API disponibles para Gemini 2.0 Pro Experimental.

Los benchmarks de proveedores no están disponibles para este modelo.

Consulta la página del modelo Gemini 2.0 Pro Experimental (Feb '25) 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

Latencia

Seconds to first answer token received · Lower is better

No data available

Precio

USD per 1M tokens (blended) · Lower is better

No data available

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: Gemini 2.0 Pro Experimental (Feb '25)

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 or the median across providers where a first-party API is not available.

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: proveedores de Gemini 2.0 Pro Experimental

Seconds to first token received · Lower is better · 10,000 input tokens

No data available

Time to first token received, in seconds, after API request sent. For reasoning models which share reasoning tokens, this will be the first reasoning token. 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: proveedores de Gemini 2.0 Pro Experimental

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 Gemini 2.0 Pro Experimental (Feb '25)

Gemini 2.0 Pro Experimental (Feb '25) no está disponible actualmente a través de ningún proveedor de API que midamos. Vuelve más tarde para actualizaciones de disponibilidad.

Gemini 2.0 Pro Experimental (Feb '25) Benchmarks y análisis de proveedores de API

Más rápido

Menor latencia

Menor precio

Velocidad

Latencia

Precio

Precios

Pricing: Cache Hit, Input, and Output

Cache Hit

Pricing: Blended Price

Price

Output Speed vs. Price

Output Speed

Velocidad

Output Speed: Gemini 2.0 Pro Experimental (Feb '25)

Output Speed

Model Performance Representation

Latency vs. Output Speed

Output Speed

Latencia

Tiempo hasta el primer token: proveedores de Gemini 2.0 Pro Experimental

Latency (Time to First Token)

Median

Tiempo de respuesta de extremo a extremo

Tiempo de respuesta de extremo a extremo: proveedores de Gemini 2.0 Pro Experimental

End-to-End Response Time

Métricas clave de comparación y funciones de API

Preguntas frecuentes

¿Dónde puedo acceder a Gemini 2.0 Pro Experimental (Feb '25)?