Head-to-Head Model Comparison

Gemini 3 Flash vs Gemini 3 Pro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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

Gemini 3 FlashProfile

Gemini 3 ProProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 3 Flash

Inferensi Super Cepat

Gemini 3 Flash dari Google adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 1.0M, kecepatan 180 token/detik, indeks kecerdasan 75/100, serta tar

Intelligence Index75 / 100

Input Token:

$0.50 / 1M

Output Token:

$3.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

66.5%

Google

Gemini 3 Pro

Model Unggulan Garis Depan

Gemini 3 Pro dari Google adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 2M, kecepatan 118 token/detik, indeks kecerdasan 62/100, serta tarif $

Intelligence Index62 / 100

Input Token:

$2.00 / 1M

Output Token:

$12.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

76.2%

Perbedaan Utama Sekilas

Gemini 3 Flash is 3.9x cheaper for API usage (input + output tokens combined).
Gemini 3 Pro has a larger context window (2M vs 1M tokens).
Gemini 3 Flash is faster at 180 tok/s vs 118 tok/s.
Gemini 3 Pro leads on SWE-bench coding (76.2% vs 66.5%).

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

Feature	Gemini 3 Flash	Gemini 3 Pro
Intelligence Index Composite reasoning & knowledge score (0-100)	75	62
Provider	Google	Google
Input Price Cost per million input tokens	$0.50 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$3.00 / 1M	$12.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.49 / 1M	$1.74 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	2M tokens~3,000 A4 pages of text
Max Output Tokens Per single request	66K	66K
Throughput Speed Tokens generated per second	180 tok/s	118 tok/s
SWE-bench Verified Real-world software engineering	66.5%	76.2%
GPQA Diamond Graduate-level reasoning	79%	73.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.13 / 1M	$0.20 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Gemini 3 Pro

+9.7% SWE-bench lead

Cost

Gemini 3 Flash

3.9x cheaper monthly runtime

Speed

Gemini 3 Flash

+53% faster generation

Context

Gemini 3 Pro

2M tokens window

Skor Benchmark Terverifikasi

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

Gemini 3 FlashGemini 3 Pro

SWE-bench Verified (Autonomous Coding)

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

66.5%vs76.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

79%vs73.5%

MMLU-Pro (Multi-task Language Understanding)

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

85.8%vs86.8%

LMSYS Chatbot Arena Elo

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

1425ptsvs1384pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs12.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs47.9%

SciCode (Scientific Computing)

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

N/Avs44.8%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs73%

AIME (Advanced Math Competition)

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

88%vs92.8%

Long-Context Reasoning

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

N/Avs84.6%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

180 tok/s vs118 tok/s

Latensi & Waktu Respons

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 3 Flash0.40s

Gemini 3 Pro1.80s

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

Gemini 3 Flash3.18s

Gemini 3 Pro6.04s

Simulator Biaya Token Interaktif

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 3 Flash Monthly API Bill

$3.64 / month

$0.5/1M in · $3/1M out

Gemini 3 Pro Monthly API Bill

$14.10 / month

$2/1M in · $12/1M out

Gemini 3 Flash saves approximately $10.46 / month (74%) under this workload.3.9x Savings

Gemini 3 Flash · Strengths & Key Advantages

Jendela konteks 1.0M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 66.5% · GPQA Diamond 79%)
Kecepatan generasi tinggi 180 token/detik dengan latensi token pertama (TTFT) hanya 400 ms
Skema harga API kompetitif (tarif $0.5/$3 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Gemini 3 Pro · Strengths & Key Advantages

Jendela konteks 2M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 76.2% · GPQA Diamond 73.5%)
Kecepatan generasi tinggi 118 token/detik dengan latensi token pertama (TTFT) hanya 1800 ms
Skema harga API kompetitif (tarif $2/$12 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

Metric	Gemini 3 Flash	Gemini 3 Pro
Cost per Task Estimated USD to finish one task	$0.95	$2.40
Output Tokens / Task Tokens generated per task	35K	60K
Reasoning Tokens / Task Thinking tokens burned per task	16K	31K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Gemini 3 Flash vs Gemini 3 Pro: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini 3 Flash or Gemini 3 Pro?

Gemini 3 Flash is more intelligent. It scores 75 compared with 62 on the composite Intelligence Index.

Which model is faster?

Gemini 3 Flash is faster, generating 180 tokens per second compared with 118 tokens per second.

Which model is cheaper to run?

Gemini 3 Flash is cheaper at $0.49 per 1M tokens blended, compared with $1.74 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 3 Flash has lower latency, with a time to first token of 0.40s compared with 1.80s.

Which model has a larger context window?

Gemini 3 Pro has a larger context window, supporting 2M tokens compared with 1.05M tokens.

Kesimpulan

Baik Gemini 3 Flash (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 3 Pro (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 3 Flash unggul dalam penalaran dan pemrograman, Gemini 3 Flash memberikan kecepatan generasi token lebih tinggi, dan Gemini 3 Flash lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini 3 Flash atau Gemini 3 Pro?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 3 Flash memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini 3 Flash vs Gemini 3 Pro?+

Gemini 3 Flash mengenakan biaya $0.50 / $3.00 per 1M token input/output, sedangkan Gemini 3 Pro sebesar $2.00 / $12.00. Secara keseluruhan, Gemini 3 Flash lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Gemini 3 Flash mendukung konteks 1.05M token dibandingkan 2M token pada Gemini 3 Pro, sementara Gemini 3 Flash unggul dalam kecepatan output token per detik.

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 3 Flash	Gemini 3 Pro
Official API Model ID (SDK)	models/gemini-3-flash	models/gemini-3-pro
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2025-12	2025-11
Knowledge Cutoff	September 2025	January 2025
Architecture	Next-gen sparse multimodal mixture-of-experts	Sparse Multimodal 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 $0.125/1M with configurable TTL	Implicit + Explicit Context Caching at $0.2/1M 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 3 Flash vs Gemini 3 Pro

Ganti & Bandingkan Model Apa Saja

Gemini 3 Flash

Gemini 3 Pro

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Gemini 3 Flash · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 3 Pro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Gemini 3 Flash vs Gemini 3 Pro: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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