Gemini 1.5 Pro vs Kimi K3
| Gemini 1.5 Pro | Kimi K3 | |
|---|---|---|
| Proveedor | Moonshot | |
| Ventana de contexto | 2.000.000 | 1.000.000 |
| Fecha de lanzamiento | 2024-02-15 | 2026-05-20 |
| Precio de entrada | $1.25/ 1M tokens | — |
| Precio de salida | $5.00/ 1M tokens | — |
| Ideal para | multimodal · long-context analysis · chatbot · document processing | — |
Capacidades
| Gemini 1.5 Pro | Kimi K3 | |
|---|---|---|
| Visión | ✓ | ✗ |
| Razonamiento | ✓ | ✗ |
| Codificación | ✓ | ✗ |
| Audio | ✓ | ✗ |
| Llamada a herramientas | ✓ | ✗ |
| Contexto largo | ✓ | ✗ |
Comparación de ranking
| Gemini 1.5 Pro | Kimi K3 | |
|---|---|---|
| General | 76.9 | 6 |
| Benchmark | 70.8 | 0 |
| Capacidad | 100 | 0 |
| Eficiencia de precio | 100 | 0 |
| Contexto | 100 | 100 |
General = Benchmark 50% + Capacidad 20% + Eficiencia de precio 20% + Contexto 10%.
Comparación de benchmarks
| Gemini 1.5 Pro | Kimi K3 | |
|---|---|---|
| Programación | — | — |
| Razonamiento | — | — |
| Matemáticas | — | — |
| Visión | — | — |
Historial de precios
Gemini 1.5 Pro
| Fecha | Entrada | Salida |
|---|---|---|
| 2026-08-11 | $1.25 | $5.00 |
/ 1M tokens
Kimi K3
Aún no hay historial de precios.
/ 1M tokens
Gemini 1.5 Pro
Google's long-context multimodal model supporting up to 2M tokens.
Kimi K3
Kimi K3 flagship model
Gemini 1.5 Pro
Data Reliability
Benchmark · VerifiedOfficial · Verified
Data confidence: 90%
Kimi K3
Data Reliability
Benchmark · ExperimentalOfficial · Experimental
Data confidence: 50%
Why compare these models?
Choose Gemini 1.5 Pro if:
- • Higher overall score
Choose Kimi K3 if:
- • General purpose workloads
Frequently Asked Questions
Which model is better: Gemini 1.5 Pro or Kimi K3?
Based on overall scores, Gemini 1.5 Pro ranks higher (76.9 vs 6). See the comparison table for a full breakdown.
Which model is cheaper: Gemini 1.5 Pro or Kimi K3?
Price data is not available for Gemini 1.5 Pro or Kimi K3.
What are the capability differences between Gemini 1.5 Pro and Kimi K3?
Gemini 1.5 Pro: Visión, Razonamiento, Codificación, Audio, Llamada a herramientas, Contexto largo