Head-to-Head Model Comparison

Amazon Nova Lite vs GPT-6.1 Sol

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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AmazonOpenAIlightweightflagship

Compare Amazon Nova Lite by Amazon against GPT-6.1 Sol by OpenAI across real-world coding, reasoning, token economics, and latency.

Comparação Direta (VS)

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Popular Matchups:
Amazon

Amazon Nova Lite

IA de Alta Performance

O Amazon Nova Lite da Amazon é um modelo de inteligência artificial com janela de contexto de 300K tokens e preço de API de $0.06/1M na entrada e $0.24/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index38 / 100
Input Token:

$0.06 / 1M

Output Token:

$0.24 / 1M

Context Window:

300K tokens

SWE-bench Verified:

31.2%

OpenAI

GPT-6.1 Sol

Modelo de Raciocínio Profundo

O GPT-6.1 Sol da OpenAI é um modelo de inteligência artificial com janela de contexto de 1M tokens e preço de API de $2.0/1M na entrada e $10.0/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index94 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

82.3%

Principais Diferenças em Resumo

  • Amazon Nova Lite is 37.0x cheaper for API usage (input + output tokens combined).
  • GPT-6.1 Sol has a larger context window (1M vs 300K tokens).
  • Amazon Nova Lite is faster at 135 tok/s vs 120 tok/s.
  • GPT-6.1 Sol leads on SWE-bench coding (82.3% vs 31.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAmazon Nova LiteGPT-6.1 Sol
Intelligence Index
Composite reasoning & knowledge score (0-100)
3894
Provider
AmazonOpenAI
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
8K128K
Throughput Speed
Tokens generated per second
135 tok/s120 tok/s
SWE-bench Verified
Real-world software engineering
31.2%82.3%
GPQA Diamond
Graduate-level reasoning
42%80.8%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.10 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding
GPT-6.1 Sol
+51.1% SWE-bench lead
Cost
Amazon Nova Lite
37.0x cheaper monthly runtime
Speed
Amazon Nova Lite
+13% faster generation
Context
GPT-6.1 Sol
1M tokens window

Pontuações de Benchmarks Verificadas

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

Amazon Nova LiteGPT-6.1 Sol
SWE-bench Verified (Autonomous Coding)

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

31.2%vs82.3%
GPQA Diamond (Doctorate-Level Science & Math)

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

42%vs80.8%
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.

1230ptsvs1519pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

4%vs18.1%
Terminal-Bench (Agentic Coding & Terminal Use)

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

20.5%vs63.6%
SciCode (Scientific Computing)

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

21%vs54.8%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

34.2%vs79.7%
AIME (Advanced Math Competition)

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

39.5%vs93.5%
Long-Context Reasoning

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

66%vs91%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

135 tok/s vs120 tok/s

Latência e Tempo de Resposta

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-6.1 Sol1.12s
Est. End-to-End Response (500 tokens)TTFT + generation time
Amazon Nova Lite3.98s
GPT-6.1 Sol5.29s

Simulador Interativo de Custo 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-6.1 Sol 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

  • Arquitetura High-Speed Multimodal Foundation Transformer avançada da Amazon com contexto de 300K tokens
  • Excelente relação custo-benefício ($0.06/1M entrada, $0.24/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

GPT-6.1 Sol · Strengths & Key Advantages

  • Arquitetura Near-Astra unified reasoning model avançada da OpenAI com contexto de 1M tokens
  • Excelente relação custo-benefício ($2.0/1M entrada, $10.0/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

Token Use & Task Economics

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

MetricAmazon Nova LiteGPT-6.1 Sol
Cost per Task
Estimated USD to finish one task
$0.06$2.05
Output Tokens / Task
Tokens generated per task
19K62K
Reasoning Tokens / Task
Thinking tokens burned per task
0K36K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureAmazon Nova LiteGPT-6.1 Sol
Official API Model ID (SDK)nova-litegpt-6-1-sol
API ProtocolAmazon REST API (OpenAI-Compatible)OpenAI Responses API & Chat Completions v1
Release Date2024-122026-09
Knowledge CutoffOctober 2024April 2026
ArchitectureHigh-Speed Multimodal Foundation TransformerNear-Astra unified reasoning model
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 windowFlat rate ($2/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.015/1M tokensAutomatic prefix caching at $0.1/1M (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)
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
Output Modalitiestexttext

Amazon Nova Lite vs GPT-6.1 Sol: Respostas Rápidas (FAQ)

Which is more intelligent, Amazon Nova Lite or GPT-6.1 Sol?

GPT-6.1 Sol is more intelligent. It scores 94 compared with 38 on the composite Intelligence Index.

Which model is faster?

Amazon Nova Lite is faster, generating 135 tokens per second compared with 120 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 1.12s.

Which model has a larger context window?

GPT-6.1 Sol has a larger context window, supporting 1M tokens compared with 300K tokens.

Veredito

Choose Amazon Nova Lite for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com amazon, or choose GPT-6.1 Sol for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com openai.

Perguntas Frequentes (FAQ)

Which is cheaper: Amazon Nova Lite or GPT-6.1 Sol?+

Amazon Nova Lite costs $0.06/1M input and $0.24/1M output tokens, while GPT-6.1 Sol costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Amazon Nova Lite or GPT-6.1 Sol?+

Amazon Nova Lite supports 300K tokens whereas GPT-6.1 Sol 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.

Fontes oficiais: Amazon & OpenAI Official Documentation