Head-to-Head Model Comparison

Gemini 2.0 Flash-Lite vs Amazon Nova Lite

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Gemini 2.0 Flash-LiteProfile

Amazon Nova LiteProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 2.0 Flash-Lite

Modelo Ligero y Económico

Gemini 2.0 Flash-Lite de Google es un modelo de IA diseñado para máxima eficiencia de costos por token y alta velocidad en producción, con ventana de contexto de 1.0M, velocidad de 280 tokens/s, índice de inteligencia de 48/100 y tarifa de

Intelligence Index48 / 100

Input Token:

$0.07 / 1M

Output Token:

$0.30 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

Amazon

Amazon Nova Lite

IA Multimodal Nativa

Amazon Nova Lite de Amazon es un modelo de IA diseñado para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, con ventana de contexto de 300K, velocidad de 135 tokens/s, índice de inteligencia de 38/100 y tari

Intelligence Index38 / 100

Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

Diferencias Clave de un Vistazo

Amazon Nova Lite is 1.3x cheaper for API usage (input + output tokens combined).
Gemini 2.0 Flash-Lite has a larger context window (1M vs 300K tokens).
Gemini 2.0 Flash-Lite is faster at 280 tok/s vs 135 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Característica	Gemini 2.0 Flash-Lite	Amazon Nova Lite
Intelligence Index Composite reasoning & knowledge score (0-100)	48	38
Provider	Google	Amazon
Input Price Cost per million input tokens	$0.07 / 1M	$0.06 / 1M
Output Price Cost per million output tokens	$0.30 / 1M	$0.24 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.06 / 1M	$0.05 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	300K tokens~450 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	280 tok/s	135 tok/s
SWE-bench Verified Real-world software engineering	N/A	31.2%
GPQA Diamond Graduate-level reasoning	N/A	42%
Cached Input Price Prompt caching discount per 1M tokens	$0.02 / 1M	$0.01 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Amazon Nova Lite

1.3x cheaper monthly runtime

Velocidad

Gemini 2.0 Flash-Lite

+107% faster generation

Contexto

Gemini 2.0 Flash-Lite

1.05M tokens window

Puntuaciones de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

Gemini 2.0 Flash-LiteAmazon Nova Lite

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs31.2%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

N/Avs42%

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

72.5%vs61.2%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1305ptsvs1230pts

Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs4%

Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs20.5%

SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs21%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs34.2%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs39.5%

Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs66%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

280 tok/s vs135 tok/s

Latencia y Tiempo de Respuesta

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Gemini 2.0 Flash-Lite0.29s

Amazon Nova Lite0.28s

Est. End-to-End Response (500 tokens)TTFT + generation time

Gemini 2.0 Flash-Lite2.08s

Amazon Nova Lite3.98s

Simulador Interactivo de Costos de Tokens

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Gemini 2.0 Flash-Lite Monthly API Bill

$0.41 / month

$0.075/1M in · $0.3/1M out

Amazon Nova Lite Monthly API Bill

$0.33 / month

$0.06/1M in · $0.24/1M out

Amazon Nova Lite saves approximately $0.08 / month (20%) under this workload.1.3x Savings

Gemini 2.0 Flash-Lite · Strengths & Key Advantages

Ventana de contexto de 1.0M con hasta 8K tokens de salida máxima (MMLU-Pro 72.5% · Arena Elo 1305)
Rendimiento ágil de 280 tokens/segundo con latencia inicial (TTFT) de solo 290 ms
Economía de API competitiva ($0.075/$0.3 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Amazon Nova Lite · Strengths & Key Advantages

Ventana de contexto de 300K con hasta 8K tokens de salida máxima (SWE-bench Verified 31.2% · GPQA Diamond 42%)
Rendimiento ágil de 135 tokens/segundo con latencia inicial (TTFT) de solo 280 ms
Economía de API competitiva ($0.06/$0.24 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Gemini 2.0 Flash-Lite	Amazon Nova Lite
Cost per Task Estimated USD to finish one task	$0.25	$0.06
Output Tokens / Task Tokens generated per task	6K	19K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Gemini 2.0 Flash-Lite	Amazon Nova Lite
Official API Model ID (SDK)	models/gemini-2-0-flash-lite	nova-lite
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Amazon REST API (OpenAI-Compatible)
Release Date	2025-02	2024-12
Knowledge Cutoff	August 2024	October 2024
Architecture	Distilled lightweight multimodal transformer	High-Speed Multimodal Foundation Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Flat rate ($0.06/1M in) across full 300K window
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.01875/1M with configurable TTL	Cached input at $0.015/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Video (~258–300 tokens/sec)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Google DeepMind Frontier Safety Framework Verified	Amazon Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision, audio, video	text, vision, video
Output Modalities	text	text

Gemini 2.0 Flash-Lite vs Amazon Nova Lite: Respuestas Rápidas (FAQ)

Which is more intelligent, Gemini 2.0 Flash-Lite or Amazon Nova Lite?

Gemini 2.0 Flash-Lite is more intelligent. It scores 48 compared with 38 on the composite Intelligence Index.

Which model is faster?

Gemini 2.0 Flash-Lite is faster, generating 280 tokens per second compared with 135 tokens per second.

Which model is cheaper to run?

Amazon Nova Lite is cheaper at $0.05 per 1M tokens blended, compared with $0.06 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Amazon Nova Lite has lower latency, with a time to first token of 0.28s compared with 0.29s.

Which model has a larger context window?

Gemini 2.0 Flash-Lite has a larger context window, supporting 1.05M tokens compared with 300K tokens.

Veredicto

Tanto Gemini 2.0 Flash-Lite (Ideal para máxima eficiencia de costos por token y alta velocidad en producción, sistemas RAG empresariales y automatización mediante API.) como Amazon Nova Lite (Ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Gemini 2.0 Flash-Lite lidera en inteligencia general y programación, Gemini 2.0 Flash-Lite ofrece mayor velocidad de generación de tokens y Amazon Nova Lite resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Gemini 2.0 Flash-Lite o Amazon Nova Lite?+

En las pruebas de inteligencia compuesta y resolución de código, Gemini 2.0 Flash-Lite obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Gemini 2.0 Flash-Lite frente a Amazon Nova Lite?+

Gemini 2.0 Flash-Lite cuesta $0.07 / $0.30 por millón de tokens de entrada/salida, mientras que Amazon Nova Lite cuesta $0.06 / $0.24. En costo combinado, Amazon Nova Lite es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Gemini 2.0 Flash-Lite cuenta con 1.05M tokens de contexto frente a 300K tokens de Amazon Nova Lite. En velocidad de inferencia, Gemini 2.0 Flash-Lite ofrece un rendimiento superior.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Gemini 2.0 Flash-Lite vs Amazon Nova Lite

Cambia y Compara Cualquier Modelo

Gemini 2.0 Flash-Lite

Amazon Nova Lite

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Gemini 2.0 Flash-Lite · Strengths & Key Advantages

Considerations & Trade-offs

Amazon Nova Lite · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Gemini 2.0 Flash-Lite vs Amazon Nova Lite: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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