Head-to-Head Model Comparison

Amazon Nova Lite vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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Compare Amazon Nova Lite by Amazon against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.

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Popular Matchups:
Amazon

Amazon Nova Lite

Yüksek Performanslı YZ

Amazon tarafından geliştirilen Amazon Nova Lite, 300K token bağlam penceresi ve 1M girdi başına $0.06, 1M çıktı başına $0.24 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

Intelligence Index38 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

Google

Gemini 4 Argon

Derin Akıl Yürütme Modeli

Google tarafından geliştirilen Gemini 4 Argon, 1M token bağlam penceresi ve 1M girdi başına $2, 1M çıktı başına $10 API fiyatlandırmasıyla yazılım geliştirme, analiz ve kurumsal otomasyon için tasarlanmıştır.

Intelligence Index97 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Bir Bakışta Temel Farklar

  • Amazon Nova Lite is 37.0x cheaper for API usage (input + output tokens combined).
  • Gemini 4 Argon has a larger context window (1M vs 300K tokens).
  • Amazon Nova Lite is faster at 135 tok/s vs 115 tok/s.
  • Gemini 4 Argon leads on SWE-bench coding (81.9% vs 31.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAmazon Nova LiteGemini 4 Argon
Intelligence Index
Composite reasoning & knowledge score (0-100)
3897
Provider
AmazonGoogle
Input Price
Cost per million input tokens
$0.06 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.24 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
300K tokens~450 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K1000K
Throughput Speed
Tokens generated per second
135 tok/s115 tok/s
SWE-bench Verified
Real-world software engineering
31.2%81.9%
GPQA Diamond
Graduate-level reasoning
42%81.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.10 / 1M

Hangi Alanda Kim Kazanıyor?

At-a-glance decision framework
Coding
Gemini 4 Argon
+50.7% SWE-bench lead
Cost
Amazon Nova Lite
37.0x cheaper monthly runtime
Speed
Amazon Nova Lite
+17% faster generation
Context
Gemini 4 Argon
1M tokens window

Doğrulanmış Benchmark Puanları

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

Amazon Nova LiteGemini 4 Argon
SWE-bench Verified (Autonomous Coding)

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

31.2%vs81.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

42%vs81.5%
MMLU-Pro (Multi-task Language Understanding)

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

61.2%vs90.8%
LMSYS Chatbot Arena Elo

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

1230ptsvs1525pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

4%vs18.9%
Terminal-Bench (Agentic Coding & Terminal Use)

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

20.5%vs57.4%
SciCode (Scientific Computing)

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

21%vs56.4%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

34.2%vs80.5%
AIME (Advanced Math Competition)

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

39.5%vs94.8%
Long-Context Reasoning

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

66%vs96.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 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
Amazon Nova Lite0.28s
Gemini 4 Argon0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Lite3.98s
Gemini 4 Argon5.20s

Gerçek Zamanlı Token Maliyet Simülatörü

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)
Amazon Nova Lite Monthly API Bill
$0.33 / month
$0.06/1M in · $0.24/1M out
Gemini 4 Argon Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Amazon Nova Lite saves approximately $11.82 / month (97%) under this workload.37.0x Savings

Amazon Nova Lite · Strengths & Key Advantages

  • Amazon imzalı gelişmiş High-Speed Multimodal Foundation Transformer mimarisi ve 300K token bağlam kapasitesi
  • Dengeli API maliyeti ($0.06/1M girdi, $0.24/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

Gemini 4 Argon · Strengths & Key Advantages

  • Google imzalı gelişmiş Pathways Multimodal Sparse Mixture-of-Experts mimarisi ve 1M token bağlam kapasitesi
  • Dengeli API maliyeti ($2/1M girdi, $10/1M çıktı) ve yüksek yanıt hızı
  • Kod üretimi, mantıksal çıkarım ve çok dilli görevlerde güçlü kıyaslama (benchmark) sonuçları
Considerations & Trade-offs
  • Çok uzun bağlamlı sorgularda token maliyetlerinin dikkatli yönetilmesi gerekir
  • Alan bazlı özel iş akışlarında en yüksek verim için doğru istem (prompt) tasarımı önerilir

Token Use & Task Economics

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

MetricAmazon Nova LiteGemini 4 Argon
Cost per Task
Estimated USD to finish one task
$0.06$2.45
Output Tokens / Task
Tokens generated per task
19K75K
Reasoning Tokens / Task
Thinking tokens burned per task
0K36K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

FeatureAmazon Nova LiteGemini 4 Argon
Official API Model ID (SDK)nova-litemodels/gemini-4-argon
API ProtocolAmazon REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2024-122026-09
Knowledge CutoffOctober 2024June 2026
ArchitectureHigh-Speed Multimodal Foundation TransformerPathways Multimodal Sparse Mixture-of-Experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.06/1M in) across full 300K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.015/1M tokensImplicit + Explicit Context Caching at $0.1/1M with configurable TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)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 & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · 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 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 ClassificationAmazon Production Safety & Alignment 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, videotext, vision, audio, video
Output Modalitiestexttext

Amazon Nova Lite vs Gemini 4 Argon: Hızlı Yanıtlar (SSS)

Which is more intelligent, Amazon Nova Lite or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 38 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Lite is faster, generating 135 tokens per second compared with 115 tokens per second.

Which model is cheaper to run?

Amazon Nova Lite is cheaper at $0.05 per 1M tokens blended, compared with $1.47 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Amazon Nova Lite has lower latency, with a time to first token of 0.28s compared with 0.85s.

Which model has a larger context window?

Gemini 4 Argon has a larger context window, supporting 1M tokens compared with 300K tokens.

Sonuç

Choose Amazon Nova Lite for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve amazon tabanlı üretim sistemleri, or choose Gemini 4 Argon for kurumsal otomasyon, yazılım mühendisliği, otonom yz ajanları ve google tabanlı üretim sistemleri.

Sıkça Sorulan Sorular (SSS)

Which is cheaper: Amazon Nova Lite or Gemini 4 Argon?+

Amazon Nova Lite costs $0.06/1M input and $0.24/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Amazon Nova Lite or Gemini 4 Argon?+

Amazon Nova Lite supports 300K tokens whereas Gemini 4 Argon supports 1M tokens.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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.

Resmi kaynaklar: Amazon & Google Official Documentation