Head-to-Head Model Comparison

Gemini 3.5 Flash-Lite vs Grok 4.6

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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

Gemini 3.5 Flash-LiteProfile

Grok 4.6Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini 3.5 Flash-Lite

Ultra Hızlı Düşük Gecikme

Google tarafından geliştirilen Gemini 3.5 Flash-Lite; ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 1.0M bağlam penceresi, 240 token/sn hız, 69/100 zeka indeksi ve 1M token başına $0.4/$2 fi

Intelligence Index69 / 100

Input Token:

$0.40 / 1M

Output Token:

$2.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

xAI

Grok 4.6

Amiral Gemisi Öncü Model

xAI tarafından geliştirilen Grok 4.6; öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları için tasarlanmış olup 500K bağlam penceresi, 115 token/sn hız, 77/100 zeka indeksi ve 1M token başına $2/$6 fiyatlandırma

Intelligence Index77 / 100

Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

500K tokens

SWE-bench Verified:

75.8%

Bir Bakışta Temel Farklar

Gemini 3.5 Flash-Lite is 3.6x cheaper for API usage (input + output tokens combined).
Gemini 3.5 Flash-Lite has a larger context window (1M vs 500K tokens).
Gemini 3.5 Flash-Lite is faster at 240 tok/s vs 115 tok/s.

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

Feature	Gemini 3.5 Flash-Lite	Grok 4.6
Intelligence Index Composite reasoning & knowledge score (0-100)	69	77
Provider	Google	xAI
Input Price Cost per million input tokens	$0.40 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$2.00 / 1M	$6.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.35 / 1M	$1.35 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	500K tokens~750 A4 pages of text
Max Output Tokens Per single request	33K	66K
Throughput Speed Tokens generated per second	240 tok/s	115 tok/s
SWE-bench Verified Real-world software engineering	N/A	75.8%
GPQA Diamond Graduate-level reasoning	N/A	77.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.10 / 1M	$0.50 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Gemini 3.5 Flash-Lite

3.6x cheaper monthly runtime

Speed

Gemini 3.5 Flash-Lite

+109% faster generation

Context

Gemini 3.5 Flash-Lite

1.05M tokens window

Doğrulanmış Benchmark Puanları

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

Gemini 3.5 Flash-LiteGrok 4.6

SWE-bench Verified (Autonomous Coding)

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

N/Avs75.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs77.2%

MMLU-Pro (Multi-task Language Understanding)

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

81.2%vs88%

LMSYS Chatbot Arena Elo

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

1375ptsvs1450pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

N/Avs14.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs51%

SciCode (Scientific Computing)

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

N/Avs49.2%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs75%

AIME (Advanced Math Competition)

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

N/Avs89.5%

Long-Context Reasoning

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

N/Avs89%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

240 tok/s vs115 tok/s

Gecikme Süresi ve Yanıt Hızı

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 3.5 Flash-Lite0.29s

Grok 4.60.58s

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

Gemini 3.5 Flash-Lite2.37s

Grok 4.64.93s

Gerçek Zamanlı Token Maliyet Simülatörü

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 3.5 Flash-Lite Monthly API Bill

$2.55 / month

$0.4/1M in · $2/1M out

Grok 4.6 Monthly API Bill

$9.15 / month

$2/1M in · $6/1M out

Gemini 3.5 Flash-Lite saves approximately $6.60 / month (72%) under this workload.3.6x Savings

Gemini 3.5 Flash-Lite · Strengths & Key Advantages

1.0M bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (MMLU-Pro 81.2% · Arena Elo 1375)
Sadece 290 ms ilk token gecikmesi (TTFT) ile saniyede 240 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.4/$2 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Grok 4.6 · Strengths & Key Advantages

500K bağlam penceresi ve yanıt başına maksimum 66K çıktı tokenı kapasitesi (SWE-bench Verified 75.8% · GPQA Diamond 77.2%)
Sadece 580 ms ilk token gecikmesi (TTFT) ile saniyede 115 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $2/$6 fiyatlandırma)

Considerations & Trade-offs

Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
Yüksek hacimli üretim trafiğinde maliyetleri optimize etmek için Prompt Caching ve Batch API kullanımı önerilir

Token Use & Task Economics

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

Metric	Gemini 3.5 Flash-Lite	Grok 4.6
Cost per Task Estimated USD to finish one task	$0.55	$0.65
Output Tokens / Task Tokens generated per task	18K	45K
Reasoning Tokens / Task Thinking tokens burned per task	7K	22K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	Gemini 3.5 Flash-Lite	Grok 4.6
Official API Model ID (SDK)	models/gemini-3-5-flash-lite	grok-4-6-latest
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	xAI REST API (OpenAI-Compatible)
Release Date	2026-07	2026-08
Knowledge Cutoff	March 2026	April 2026
Architecture	Lightweight efficient multimodal transformer	1.5T Colossus Sparse MoE
Parameters	Confidential	1.5T (MoE)
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 ($2/1M in) across full 500K window
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.1/1M with configurable TTL	Cached input at $0.5/1M 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	Real-time Web & X (Twitter) Search Grounding + Code Execution
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)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
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	xAI 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	text, vision
Output Modalities	text	text

Gemini 3.5 Flash-Lite vs Grok 4.6: Hızlı Yanıtlar (SSS)

Which is more intelligent, Gemini 3.5 Flash-Lite or Grok 4.6?

Grok 4.6 is more intelligent. It scores 77 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 115 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 $1.35 (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 0.58s.

Which model has a larger context window?

Gemini 3.5 Flash-Lite has a larger context window, supporting 1.05M tokens compared with 500K tokens.

Sonuç

Hem Gemini 3.5 Flash-Lite (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Grok 4.6 (öncü kurumsal akıl yürütme, yazılım geliştirme ve üretim ölçekli AI iş akışları, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Grok 4.6 karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Gemini 3.5 Flash-Lite daha yüksek üretim hızı sağlar; Gemini 3.5 Flash-Lite ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Gemini 3.5 Flash-Lite mi yoksa Grok 4.6 mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Grok 4.6 önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Gemini 3.5 Flash-Lite ve Grok 4.6 API fiyatları nasıl karşılaştırılır?+

Gemini 3.5 Flash-Lite 1M giriş/çıkış tokeni başına $0.40 / $2.00 ücretlendirilirken, Grok 4.6 $2.00 / $6.00 seviyesindedir. Karma maliyette Gemini 3.5 Flash-Lite daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Gemini 3.5 Flash-Lite 1.05M token bağlam penceresi sunarken Grok 4.6 500K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Gemini 3.5 Flash-Lite öndedir.

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 3.5 Flash-Lite vs Grok 4.6

İstediğiniz Modelleri Seçin ve Karşılaştırın

Gemini 3.5 Flash-Lite

Grok 4.6

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Gemini 3.5 Flash-Lite · Strengths & Key Advantages

Considerations & Trade-offs

Grok 4.6 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Gemini 3.5 Flash-Lite vs Grok 4.6: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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