Head-to-Head Model Comparison

Gemini 2.0 Pro vs Gemini 2.0 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책

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Gemini 2.0 ProProfile

Gemini 2.0 FlashProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 2.0 Pro

플래그십 프론티어 모델

Google의 Gemini 2.0 Pro 모델은 최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드에 최적화된 AI 모델로, 2M 컨텍스트 윈도우, 초당 95 토큰의 생성 속도, 종합 지능 지수 52/100점(1M 토큰당 입력 $1.25 / 출력 $5)을 제공합니다.

Intelligence Index52 / 100

Input Token:

$1.25 / 1M

Output Token:

$5.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

63.8%

Google

Gemini 2.0 Flash

초고속 저지연 추론 모델

Google의 Gemini 2.0 Flash 모델은 초저지연 실시간 대화, 고속 라우팅 및 대규모 트래픽 처리에 최적화된 AI 모델로, 1.0M 컨텍스트 윈도우, 초당 240 토큰의 생성 속도, 종합 지능 지수 40/100점(1M 토큰당 입력 $0.1 / 출력 $0.4)을 제공합니다.

Intelligence Index40 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

42%

한눈에 보는 핵심 차이점

Gemini 2.0 Flash is 12.5x cheaper for API usage (input + output tokens combined).
Gemini 2.0 Pro has a larger context window (2M vs 1M tokens).
Gemini 2.0 Flash is faster at 240 tok/s vs 95 tok/s.
Gemini 2.0 Pro leads on SWE-bench coding (63.8% vs 42.0%).

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

Feature	Gemini 2.0 Pro	Gemini 2.0 Flash
Intelligence Index Composite reasoning & knowledge score (0-100)	52	40
Provider	Google	Google
Input Price Cost per million input tokens	$1.25 / 1M	$0.10 / 1M
Output Price Cost per million output tokens	$5.00 / 1M	$0.40 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.97 / 1M	$0.08 / 1M
Context Window Maximum input + output tokens	2M tokens~3,000 A4 pages of text	1.05M tokens~1,573 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	95 tok/s	240 tok/s
SWE-bench Verified Real-world software engineering	63.8%	42%
GPQA Diamond Graduate-level reasoning	71.5%	55.4%
Cached Input Price Prompt caching discount per 1M tokens	$0.31 / 1M	$0.03 / 1M

부문별 우위 모델

At-a-glance decision framework

Coding

Gemini 2.0 Pro

+21.8% SWE-bench lead

Cost

Gemini 2.0 Flash

12.5x cheaper monthly runtime

Speed

Gemini 2.0 Flash

+153% faster generation

Context

Gemini 2.0 Pro

2M tokens window

검증된 벤치마크 점수 비교

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

Gemini 2.0 ProGemini 2.0 Flash

SWE-bench Verified (Autonomous Coding)

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

63.8%vs42%

GPQA Diamond (Doctorate-Level Science & Math)

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

71.5%vs55.4%

MMLU-Pro (Multi-task Language Understanding)

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

79.8%vs71%

LMSYS Chatbot Arena Elo

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

1330ptsvs1302pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

11.4%vs8.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

42.1%vs27.7%

SciCode (Scientific Computing)

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

38.3%vs25.2%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

65.6%vs44.9%

AIME (Advanced Math Competition)

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

82.2%vs63.7%

Long-Context Reasoning

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

71.8%vs63.9%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs240 tok/s

지연 시간(Latency) 및 응답 속도

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 Pro0.62s

Gemini 2.0 Flash0.28s

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

Gemini 2.0 Pro5.88s

Gemini 2.0 Flash2.36s

실시간 API 토큰 비용 시뮬레이터

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 Pro Monthly API Bill

$6.84 / month

$1.25/1M in · $5/1M out

Gemini 2.0 Flash Monthly API Bill

$0.55 / month

$0.1/1M in · $0.4/1M out

Gemini 2.0 Flash saves approximately $6.29 / month (92%) under this workload.12.5x Savings

Gemini 2.0 Pro · Strengths & Key Advantages

2M 컨텍스트 윈도우 및 최대 8K 출력 토큰 생성 지원 (SWE-bench Verified 63.8% · GPQA Diamond 71.5%)
초당 95 토큰의 빠른 처리 속도와 620ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $1.25 / 출력 $5)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Gemini 2.0 Flash · Strengths & Key Advantages

1.0M 컨텍스트 윈도우 및 최대 8K 출력 토큰 생성 지원 (SWE-bench Verified 42% · GPQA Diamond 55.4%)
초당 240 토큰의 빠른 처리 속도와 280ms에 불과한 첫 토큰 지연 시간(TTFT)
합리적인 API 요금 체계(1M 토큰당 입력 $0.1 / 출력 $0.4)와 프롬프트 캐싱, 함수 호출 및 정형화된 JSON 출력 완벽 지원

Considerations & Trade-offs

독점 클라우드 전용 모델로 로컬 오프라인 서버에 가중치를 다운로드하여 실행할 수 없습니다
초고난도 학술 연구 및 수학 증명 과제에서는 상위 대형 추론 특화 모델이 더 깊은 분석을 제공할 수 있습니다

Token Use & Task Economics

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

Metric	Gemini 2.0 Pro	Gemini 2.0 Flash
Cost per Task Estimated USD to finish one task	$1.59	$0.13
Output Tokens / Task Tokens generated per task	60K	60K
Reasoning Tokens / Task Thinking tokens burned per task	33K	33K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

Gemini 2.0 Pro vs Gemini 2.0 Flash: 핵심 요약 문답 (FAQ)

Which is more intelligent, Gemini 2.0 Pro or Gemini 2.0 Flash?

Gemini 2.0 Pro is more intelligent. It scores 52 compared with 40 on the composite Intelligence Index.

Which model is faster?

Gemini 2.0 Flash is faster, generating 240 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Gemini 2.0 Flash is cheaper at $0.08 per 1M tokens blended, compared with $0.97 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 2.0 Flash has lower latency, with a time to first token of 0.28s compared with 0.62s.

Which model has a larger context window?

Gemini 2.0 Pro has a larger context window, supporting 2M tokens compared with 1.05M tokens.

종합 평가

Gemini 2.0 Pro(최첨단 엔터프라이즈 추론, 소프트웨어 개발 및 핵심 프로덕션 워크로드, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.)와 Gemini 2.0 Flash(초저지연 실시간 대화, 고속 라우팅 및 대규모 트래픽 처리, 엔터프라이즈 RAG 지식베이스 및 대규모 프로덕션 API 연동에 최적.) 모두 뛰어난 성능을 자랑합니다. 고난도 추론과 코딩 벤치마크에서는 Gemini 2.0 Pro가 앞서며, 토큰 생성 속도에서는 Gemini 2.0 Flash가 빠르고, 대규모 API 운영 비용 면에서는 Gemini 2.0 Flash가 더 경제적입니다.

자주 묻는 질문 (FAQ)

코딩과 복잡한 추론에는 Gemini 2.0 Pro와 Gemini 2.0 Flash 중 어느 모델이 더 나은가요?+

종합 지능 지수 및 코딩 벤치마크에서는 Gemini 2.0 Pro가 우위를 보입니다. 상단의 SWE-bench 및 GPQA 점수를 함께 확인해 보세요.

Gemini 2.0 Pro와 Gemini 2.0 Flash의 API 요금 차이는 얼마인가요?+

Gemini 2.0 Pro는 100만 토큰당 입력 $1.25 / 출력 $5.00이며, Gemini 2.0 Flash는 입력 $0.10 / 출력 $0.40입니다. 혼합 비용 기준으로는 Gemini 2.0 Flash가 더 저렴합니다.

어느 모델이 더 큰 컨텍스트 윈도우와 빠른 속도를 제공하나요?+

컨텍스트 길이는 Gemini 2.0 Pro가 2M 토큰, Gemini 2.0 Flash가 1.05M 토큰를 지원하며, 출력 속도 면에서는 Gemini 2.0 Flash가 더 빠릅니다.

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 2.0 Pro	Gemini 2.0 Flash
Official API Model ID (SDK)	models/gemini-2-pro	models/gemini-2-flash
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2025-02	2024-12
Knowledge Cutoff	January 2025	August 2024
Architecture	Multimodal Deep Reasoning Sparse MoE	Multimodal Flash MoE
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 $0.31/1M with configurable TTL	Implicit + Explicit Context Caching at $0.025/1M 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) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)	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, audio, video	text, vision, audio, video
Output Modalities	text	text

Gemini 2.0 Pro vs Gemini 2.0 Flash

원하는 AI 모델 선택 및 실시간 비교

Gemini 2.0 Pro

Gemini 2.0 Flash

부문별 우위 모델

검증된 벤치마크 점수 비교

지연 시간(Latency) 및 응답 속도

실시간 API 토큰 비용 시뮬레이터

Gemini 2.0 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 2.0 Flash · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

기술 사양 (Specifications)

Gemini 2.0 Pro vs Gemini 2.0 Flash: 핵심 요약 문답 (FAQ)

종합 평가

자주 묻는 질문 (FAQ)

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