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Head-to-Head Model Comparison

Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite: Benchmarks, Pricing & Speed Comparison

Gemini 3.6 Flash dari Google dan Gemini 3.5 Flash-Lite dari Google adalah dua model AI unggulan. Gemini 3.6 Flash menawarkan jendela konteks 1.05M token dengan harga $0.75/$3.75 per 1 juta token, sedangkan Gemini 3.5 Flash-Lite menyediakan konteks 1.05M token seharga $0.40/$2.00 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Google

Gemini 3.6 Flash

Pemimpin Pemrograman & Kode

Gemini 3.6 Flash dari Google adalah model AI yang dirancang untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, menghadirkan jendela konteks 1.0M, kecepatan 185 token/detik, indeks kecerdasan 84/100, serta

Intelligence Index84 / 100
Input Token:

$0.75 / 1M

Output Token:

$3.75 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

72%

Google

Gemini 3.5 Flash-Lite

Inferensi Super Cepat

Gemini 3.5 Flash-Lite 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 240 token/detik, indeks kecerdasan 69/100, se

Intelligence Index69 / 100
Input Token:

$0.40 / 1M

Output Token:

$2.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Gemini 3.5 Flash-Lite is 1.9x cheaper for API usage (input + output tokens combined).
  • Gemini 3.5 Flash-Lite is faster at 240 tok/s vs 185 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGemini 3.6 FlashGemini 3.5 Flash-Lite
Intelligence Index
Composite reasoning & knowledge score (0-100)
8469
Provider
GoogleGoogle
Input Price
Cost per million input tokens
$0.75 / 1M$0.40 / 1M
Output Price
Cost per million output tokens
$3.75 / 1M$2.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.66 / 1M$0.35 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,573 A4 pages of text1.05M tokens~1,573 A4 pages of text
Max Output Tokens
Per single request
66K33K
Throughput Speed
Tokens generated per second
185 tok/s240 tok/s
SWE-bench Verified
Real-world software engineering
72%N/A
GPQA Diamond
Graduate-level reasoning
82.4%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.19 / 1M$0.10 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Gemini 3.5 Flash-Lite
1.9x cheaper monthly runtime
Speed
Gemini 3.5 Flash-Lite
+30% faster generation
Context
Tied
1.05M tokens window

Skor Benchmark Terverifikasi

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

Gemini 3.6 FlashGemini 3.5 Flash-Lite
SWE-bench Verified (Autonomous Coding)

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

72%vsN/A
GPQA Diamond (Doctorate-Level Science & Math)

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

82.4%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

87.8%vs81.2%
LMSYS Chatbot Arena Elo

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

1460ptsvs1375pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

185 tok/s vs240 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 3.6 Flash0.37s
Gemini 3.5 Flash-Lite0.29s
Est. End-to-End Response (500 tokens)TTFT + generation time
Gemini 3.6 Flash3.07s
Gemini 3.5 Flash-Lite2.37s

Simulator Biaya Token Interaktif

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

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Gemini 3.6 Flash Monthly API Bill
$4.78 / month
$0.75/1M in · $3.75/1M out
Gemini 3.5 Flash-Lite Monthly API Bill
$2.55 / month
$0.4/1M in · $2/1M out
Gemini 3.5 Flash-Lite saves approximately $2.23 / month (47%) under this workload.1.9x Savings

Gemini 3.6 Flash · Strengths & Key Advantages

  • Jendela konteks 1.0M dengan kapasitas output maksimum hingga 66K token (SWE-bench Verified 72% · GPQA Diamond 82.4%)
  • Kecepatan generasi tinggi 185 token/detik dengan latensi token pertama (TTFT) hanya 370 ms
  • Skema harga API kompetitif (tarif $0.75/$3.75 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 3.5 Flash-Lite · Strengths & Key Advantages

  • Jendela konteks 1.0M dengan kapasitas output maksimum hingga 33K token (MMLU-Pro 81.2% · Arena Elo 1375)
  • Kecepatan generasi tinggi 240 token/detik dengan latensi token pertama (TTFT) hanya 290 ms
  • Skema harga API kompetitif (tarif $0.4/$2 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

Token Use & Task Economics

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

MetricGemini 3.6 FlashGemini 3.5 Flash-Lite
Cost per Task
Estimated USD to finish one task
$1.02$0.55
Output Tokens / Task
Tokens generated per task
39K18K
Reasoning Tokens / Task
Thinking tokens burned per task
19K7K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGemini 3.6 FlashGemini 3.5 Flash-Lite
Official API Model ID (SDK)models/gemini-3-6-flashmodels/gemini-3-5-flash-lite
API ProtocolGoogle Gemini API (generateContent) + OpenAI-Compatible SDKGoogle Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-072026-07
Knowledge CutoffMarch 2026March 2026
ArchitectureEnhanced multimodal mixture-of-expertsLightweight efficient multimodal transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM10,000 – 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 tokensStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLImplicit + Explicit Context Caching at $0.1875/1M with configurable TTLImplicit + Explicit Context Caching at $0.1/1M with configurable TTL
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxBuilt-in Google Search Grounding + Managed Python Code Execution SandboxBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportVertex AI Supervised Adapter Tuning & Context DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText 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)
Quantization & Min GPU VRAMCloud-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 ClassificationGoogle DeepMind Frontier Safety Framework VerifiedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audio, videotext, vision
Output Modalitiestexttext

Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini 3.6 Flash or Gemini 3.5 Flash-Lite?

Gemini 3.6 Flash is more intelligent. It scores 84 compared with 69 on the composite Intelligence Index.

Which model is faster?

Gemini 3.5 Flash-Lite is faster, generating 240 tokens per second compared with 185 tokens per second.

Which model is cheaper to run?

Gemini 3.5 Flash-Lite is cheaper at $0.35 per 1M tokens blended, compared with $0.66 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 3.5 Flash-Lite has lower latency, with a time to first token of 0.29s compared with 0.37s.

Kesimpulan

Baik Gemini 3.6 Flash (Sangat cocok untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 3.5 Flash-Lite (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini 3.6 Flash unggul dalam penalaran dan pemrograman, Gemini 3.5 Flash-Lite memberikan kecepatan generasi token lebih tinggi, dan Gemini 3.5 Flash-Lite lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini 3.6 Flash atau Gemini 3.5 Flash-Lite?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini 3.6 Flash memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini 3.6 Flash vs Gemini 3.5 Flash-Lite?+

Gemini 3.6 Flash mengenakan biaya $0.75 / $3.75 per 1M token input/output, sedangkan Gemini 3.5 Flash-Lite sebesar $0.40 / $2.00. Secara keseluruhan, Gemini 3.5 Flash-Lite lebih hemat biaya.

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

Gemini 3.6 Flash mendukung konteks 1.05M token dibandingkan 1.05M token pada Gemini 3.5 Flash-Lite, sementara Gemini 3.5 Flash-Lite 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sumber resmi: Dokumentasi API resmi Google & Google serta evaluasi benchmark independen (2026).