Plataforma de Inteligencia de Modelos de IA
← Volver a comparar

Gemini 1.5 Flash vs Gemini 1.5 Pro

Gemini 1.5 FlashGemini 1.5 Pro
ProveedorGoogleGoogle
Ventana de contexto1.000.0002.000.000
Fecha de lanzamiento2024-05-142024-02-15
Precio de entrada$0.07/ 1M tokens$1.25/ 1M tokens
Precio de salida$0.30/ 1M tokens$5.00/ 1M tokens
Ideal paramultimodal · long-context analysis · chatbot · document processing

Capacidades

Gemini 1.5 FlashGemini 1.5 Pro
Visión
Razonamiento
Codificación
Audio
Llamada a herramientas
Contexto largo

Comparación de ranking

Gemini 1.5 FlashGemini 1.5 Pro
General60.976.9
Benchmark75.370.8
Capacidad0100
Eficiencia de precio100100
Contexto100100

General = Benchmark 50% + Capacidad 20% + Eficiencia de precio 20% + Contexto 10%.

Comparación de benchmarks

Gemini 1.5 FlashGemini 1.5 Pro
Programación71.784.1
Razonamiento
Matemáticas78.981.9
Visión

Historial de precios

Gemini 1.5 Flash

Aún no hay historial de precios.

/ 1M tokens

Gemini 1.5 Pro

FechaEntradaSalida
2026-08-11$1.25$5.00

/ 1M tokens

Gemini 1.5 Flash

Gemini 1.5 Flash fast model

Gemini 1.5 Pro

Google's long-context multimodal model supporting up to 2M tokens.

Gemini 1.5 Flash

Data Reliability

Benchmark · VerifiedOfficial · Experimental

Data confidence: 90%

Gemini 1.5 Pro

Data Reliability

Benchmark · VerifiedOfficial · Verified

Data confidence: 90%

Why compare these models?

These models are compared because:

  • • Similar benchmark performance

Choose Gemini 1.5 Flash if:

  • • Lower input price

Choose Gemini 1.5 Pro if:

  • • Higher overall score

Frequently Asked Questions

Which model is better: Gemini 1.5 Flash or Gemini 1.5 Pro?

Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 60.9). See the comparison table for a full breakdown.

Which model is cheaper: Gemini 1.5 Flash or Gemini 1.5 Pro?

Gemini 1.5 Flash is cheaper: $0.075 vs $1.25 per 1M input tokens.

What are the capability differences between Gemini 1.5 Flash and Gemini 1.5 Pro?

Gemini 1.5 Pro: Visión, Razonamiento, Codificación, Audio, Llamada a herramientas, Contexto largo