Head-to-Head Model Comparison

Amazon Nova Lite vs GPT-6 Astra

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Vérifié par l’équipe de recherche de GetInfoUsDernière révision : October 2026Politique éditoriale
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AmazonOpenAIlightweightflagship

Compare Amazon Nova Lite by Amazon against GPT-6 Astra by OpenAI across real-world coding, reasoning, token economics, and latency.

Comparaison Face-à-Face (VS)

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Amazon

Amazon Nova Lite

IA d entreprise spécialisée

Modèle Amazon Nova Lite développé par Amazon, offrant une inférence rapide et une grande fiabilité pour les flux professionnels.

Intelligence Index38 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

OpenAI

GPT-6 Astra

Agent d'OS autonome

d'OpenAI late-2026 phare modèle de fondation intégrant natif utilisation de l'ordinateur agents, dynamic UI orchestration, et profond STEM raisonnement.

Intelligence Index96 / 100
Input Token:

$10.00 / 1M

Output Token:

$50.00 / 1M

Context Window:

272K tokens

SWE-bench Verified:

82.4%

Différences Clés en un Coup d’Œil

  • Amazon Nova Lite is 187.2x cheaper for API usage (input + output tokens combined).
  • Amazon Nova Lite has a larger context window (300K vs 272K tokens).
  • Amazon Nova Lite is faster at 135 tok/s vs 100 tok/s.
  • GPT-6 Astra leads on SWE-bench coding (82.4% vs 31.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaractéristiqueAmazon Nova LiteGPT-6 Astra
Intelligence Index
Composite reasoning & knowledge score (0-100)
3896
Provider
AmazonOpenAI
Input Price
Cost per million input tokens
$0.06 / 1M$10.00 / 1M
Output Price
Cost per million output tokens
$0.24 / 1M$50.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$7.70 / 1M
Context Window
Maximum input + output tokens
300K tokens~450 A4 pages of text272K tokens~408 A4 pages of text
Max Output Tokens
Per single request
8K128K
Throughput Speed
Tokens generated per second
135 tok/s100 tok/s
SWE-bench Verified
Real-world software engineering
31.2%82.4%
GPQA Diamond
Graduate-level reasoning
42%80.9%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$1.00 / 1M

Qui gagne où ?

At-a-glance decision framework
Code
GPT-6 Astra
+51.2% SWE-bench lead
Coût
Amazon Nova Lite
187.2x cheaper monthly runtime
Vitesse
Amazon Nova Lite
+35% faster generation
Contexte
Amazon Nova Lite
300K tokens window

Scores de Benchmarks Vérifiés

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

Amazon Nova LiteGPT-6 Astra
SWE-bench Verified (Autonomous Coding)

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

31.2%vs82.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

42%vs80.9%
MMLU-Pro (Multi-task Language Understanding)

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

61.2%vs89.9%
LMSYS Chatbot Arena Elo

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

1230ptsvs1520pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

4%vs18.2%
Terminal-Bench (Agentic Coding & Terminal Use)

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

20.5%vs63.8%
SciCode (Scientific Computing)

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

21%vs54.9%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

34.2%vs79.8%
AIME (Advanced Math Competition)

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

39.5%vs93.6%
Long-Context Reasoning

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

66%vs91.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs100 tok/s

Latence et Temps de Réponse

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
GPT-6 Astra0.95s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Lite3.98s
GPT-6 Astra5.95s

Simulateur Interactif de Coût de Tokens

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
GPT-6 Astra Monthly API Bill
$61.50 / month
$10/1M in · $50/1M out
Amazon Nova Lite saves approximately $61.17 / month (99%) under this workload.187.2x Savings

Amazon Nova Lite · Strengths & Key Advantages

  • Architecture haute performance optimisée par Amazon
  • Excellente prise en charge des sorties structurées JSON et des appels d outils
  • Stabilité démontrée en environnement de production
Considerations & Trade-offs
  • Nécessite une infrastructure dédiée ou des clés API adaptées pour les forts volumes
  • Attention à la taille de la fenêtre de contexte pour les très grands documents

GPT-6 Astra · Strengths & Key Advantages

  • Flawless OS-level navigation et utilisation de l'ordinateur automatisation
  • Seamless en temps réel multimodal voix et vision interactivity
  • Dynamic chaîne de pensée qui self-adjusts profondeur based sur query difficulty
  • immense 1M fenêtre de contexte avec instant prefix caching
Considerations & Trade-offs
  • Strict sécurité filters peut occasionally throttle complexe penetration testing prompts
  • Slightly supérieur raisonnement latence sur élevé-effort mathématiques queries

Token Use & Task Economics

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

MetricAmazon Nova LiteGPT-6 Astra
Cost per Task
Estimated USD to finish one task
$0.06$2.15
Output Tokens / Task
Tokens generated per task
19K58K
Reasoning Tokens / Task
Thinking tokens burned per task
0K32K

Spécifications Techniques

Architecture, release timeline, capabilities, and modalities.

CaractéristiqueAmazon Nova LiteGPT-6 Astra
Official API Model ID (SDK)nova-litegpt-6-astra
API ProtocolAmazon REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2024-122026-09
Knowledge CutoffOctober 2024June 2026
ArchitectureHigh-Speed Multimodal Foundation TransformerOmni-Adaptive Autoregressive with Dynamic CoT
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) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.06/1M in) across full 300K windowFlat rate ($10/1M in) across full 272K window
Prompt Cache Policy & TTLCached input at $0.015/1M tokensAutomatic prefix caching at $1/1M (no extra cache-write fee)
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 toolsNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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)
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 VerifiedOpenAI Preparedness Framework Audited & System Card Published
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
Output Modalitiestexttext, audio

Amazon Nova Lite vs GPT-6 Astra: Réponses Rapides (FAQ)

Which is more intelligent, Amazon Nova Lite or GPT-6 Astra?

GPT-6 Astra is more intelligent. It scores 96 compared with 38 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Lite is faster, generating 135 tokens per second compared with 100 tokens per second.

Which model is cheaper to run?

Amazon Nova Lite is cheaper at $0.05 per 1M tokens blended, compared with $7.70 (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 0.95s.

Which model has a larger context window?

Amazon Nova Lite has a larger context window, supporting 300K tokens compared with 272K tokens.

Verdict

Choose Amazon Nova Lite for déploiement d entreprise, automatisation et analyse de données propulsées par amazon, or choose GPT-6 Astra for autonome browser/computer flux de travail, en temps réel voix agents, et élevé-difficulty mathématique raisonnement.

Questions fréquentes

Which is cheaper: Amazon Nova Lite or GPT-6 Astra?+

Amazon Nova Lite costs $0.06/1M input and $0.24/1M output tokens, while GPT-6 Astra costs $10/1M input and $50/1M output tokens.

Which model has a larger context window: Amazon Nova Lite or GPT-6 Astra?+

Amazon Nova Lite supports 300K tokens whereas GPT-6 Astra supports 272K 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.

Les scores de benchmarks, tarifs par token et limites évoluent rapidement. Vérifiez toujours les spécifications actuelles sur la documentation officielle du fournisseur.

Sources: Amazon & OpenAI Official Documentation