Head-to-Head Model Comparison

Gemini 2.5 Flash-Lite vs Gemini 2.5 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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Gemini 2.5 Flash-LiteProfile

Gemini 2.5 ProProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 2.5 Flash-Lite

Modelo Leve e Econômico

O Gemini 2.5 Flash-Lite da Google é um modelo de IA projetado para máxima economia por token e alto desempenho em escala de produção, oferecendo janela de contexto de 1.0M, velocidade de 220 tokens/s, índice de inteligência de 56/100 e tari

Intelligence Index56 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

Google

Gemini 2.5 Pro

Motor de Raciocínio Profundo

O Gemini 2.5 Pro da Google é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 1.0M, velocidade de 95 tokens/s, índice de inteligência de 78/1

Intelligence Index78 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

63.8%

Principais Diferenças em Resumo

Gemini 2.5 Flash-Lite is 20.7x cheaper for API usage (input + output tokens combined).
Gemini 2.5 Flash-Lite is faster at 220 tok/s vs 95 tok/s.

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

Feature	Gemini 2.5 Flash-Lite	Gemini 2.5 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	56	78
Provider	Google	Google
Input Price Cost per million input tokens	$0.10 / 1M	$1.25 / 1M
Output Price Cost per million output tokens	$0.40 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.08 / 1M	$1.47 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	1.05M tokens~1,573 A4 pages of text
Max Output Tokens Per single request	33K	66K
Throughput Speed Tokens generated per second	220 tok/s	95 tok/s
SWE-bench Verified Real-world software engineering	N/A	63.8%
GPQA Diamond Graduate-level reasoning	N/A	84%
Cached Input Price Prompt caching discount per 1M tokens	$0.03 / 1M	$0.31 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Gemini 2.5 Flash-Lite

20.7x cheaper monthly runtime

Speed

Gemini 2.5 Flash-Lite

+132% faster generation

Context

Tied

1.05M tokens window

Pontuações de Benchmarks Verificadas

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

Gemini 2.5 Flash-LiteGemini 2.5 Pro

SWE-bench Verified (Autonomous Coding)

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

N/Avs63.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs84%

MMLU-Pro (Multi-task Language Understanding)

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

76.5%vs88.5%

LMSYS Chatbot Arena Elo

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

1330ptsvs1420pts

AIME (Advanced Math Competition)

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

N/Avs92%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

220 tok/s vs95 tok/s

Latência e Tempo de Resposta

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 2.5 Flash-Lite0.32s

Gemini 2.5 Pro0.82s

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

Gemini 2.5 Flash-Lite2.59s

Gemini 2.5 Pro6.08s

Simulador Interativo de Custo 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 2.5 Flash-Lite Monthly API Bill

$0.55 / month

$0.1/1M in · $0.4/1M out

Gemini 2.5 Pro Monthly API Bill

$11.34 / month

$1.25/1M in · $10/1M out

Gemini 2.5 Flash-Lite saves approximately $10.79 / month (95%) under this workload.20.7x Savings

Gemini 2.5 Flash-Lite · Strengths & Key Advantages

Janela de contexto de 1.0M com limite máximo de saída de 33K tokens (MMLU-Pro 76.5% · Arena Elo 1330)
Taxa de transferência rápida de 220 tokens/segundo com latência inicial (TTFT) de 320 ms
Economia de API competitiva ($0.1/$0.4 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Gemini 2.5 Pro · Strengths & Key Advantages

Janela de contexto de 1.0M com limite máximo de saída de 66K tokens (SWE-bench Verified 63.8% · GPQA Diamond 84%)
Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 820 ms
Economia de API competitiva ($1.25/$10 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas

Considerations & Trade-offs

Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

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

Metric	Gemini 2.5 Flash-Lite	Gemini 2.5 Pro
Cost per Task Estimated USD to finish one task	$0.35	$1.45
Output Tokens / Task Tokens generated per task	12K	45K
Reasoning Tokens / Task Thinking tokens burned per task	4K	22K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Gemini 2.5 Flash-Lite vs Gemini 2.5 Pro: Respostas Rápidas (FAQ)

Which is more intelligent, Gemini 2.5 Flash-Lite or Gemini 2.5 Pro?

Gemini 2.5 Pro is more intelligent. It scores 78 compared with 56 on the composite Intelligence Index.

Which model is faster?

Gemini 2.5 Flash-Lite is faster, generating 220 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Gemini 2.5 Flash-Lite is cheaper at $0.08 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 2.5 Flash-Lite has lower latency, with a time to first token of 0.32s compared with 0.82s.

Veredito

Tanto Gemini 2.5 Flash-Lite (Indicado para máxima economia por token e alto desempenho em escala de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Gemini 2.5 Pro (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Gemini 2.5 Pro lidera em inteligência geral e programação, Gemini 2.5 Flash-Lite oferece geração mais rápida e Gemini 2.5 Flash-Lite apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Gemini 2.5 Flash-Lite ou Gemini 2.5 Pro?+

Nas avaliações de inteligência e código, Gemini 2.5 Pro leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Gemini 2.5 Flash-Lite ou Gemini 2.5 Pro?+

O Gemini 2.5 Flash-Lite custa $0.10 / $0.40 por 1M de tokens (entrada/saída) e o Gemini 2.5 Pro custa $1.25 / $10.00. No custo combinado, Gemini 2.5 Flash-Lite é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Gemini 2.5 Flash-Lite suporta 1.05M tokens de contexto contra 1.05M tokens do Gemini 2.5 Pro, enquanto Gemini 2.5 Flash-Lite entrega maior velocidade de geração.

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)

Feature	Gemini 2.5 Flash-Lite	Gemini 2.5 Pro
Official API Model ID (SDK)	models/gemini-2-5-flash-lite	models/gemini-2-5-pro
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2025-06	2025-03
Knowledge Cutoff	March 2025	January 2025
Architecture	Compact multimodal transformer with lightweight thinking	Pathways Multimodal Sparse Mixture-of-Experts with Thinking
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.025/1M with configurable TTL	Implicit + Explicit Context Caching at $0.31/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · 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	Google DeepMind Frontier Safety Framework 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	text, vision, audio, video
Output Modalities	text	text

Gemini 2.5 Flash-Lite vs Gemini 2.5 Pro

Troque e Compare Qualquer Modelo

Gemini 2.5 Flash-Lite

Gemini 2.5 Pro

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Gemini 2.5 Flash-Lite · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 2.5 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Gemini 2.5 Flash-Lite vs Gemini 2.5 Pro: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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