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Head-to-Head Model Comparison

GPT-4.1 nano vs Amazon Nova Micro

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
GPT-4.1 nano vs Amazon Nova Micro: Benchmarks, Pricing & Speed Comparison

GPT-4.1 nano dari OpenAI dan Amazon Nova Micro dari Amazon adalah dua model AI unggulan. GPT-4.1 nano menawarkan jendela konteks 1.05M token dengan harga $0.10/$0.40 per 1 juta token, sedangkan Amazon Nova Micro menyediakan konteks 128K token seharga $0.04/$0.14 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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OpenAI

GPT-4.1 nano

Model Ringan & Hemat Biaya

GPT-4.1 nano dari OpenAI adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 1.0M, kecepatan 220 token/detik, indeks kecerdasan 26/100, serta tarif $0

Intelligence Index26 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

24%

Amazon

Amazon Nova Micro

Model Ringan & Hemat Biaya

Amazon Nova Micro dari Amazon adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 128K, kecepatan 175 token/detik, indeks kecerdasan 34/100, serta tar

Intelligence Index34 / 100
Input Token:

$0.04 / 1M

Output Token:

$0.14 / 1M

Context Window:

128K tokens

SWE-bench Verified:

23%

Perbedaan Utama Sekilas

  • Amazon Nova Micro is 2.9x cheaper for API usage (input + output tokens combined).
  • GPT-4.1 nano has a larger context window (1M vs 128K tokens).
  • GPT-4.1 nano is faster at 220 tok/s vs 175 tok/s.
  • GPT-4.1 nano leads on SWE-bench coding (24.0% vs 23.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-4.1 nanoAmazon Nova Micro
Intelligence Index
Composite reasoning & knowledge score (0-100)
2634
Provider
OpenAIAmazon
Input Price
Cost per million input tokens
$0.10 / 1M$0.04 / 1M
Output Price
Cost per million output tokens
$0.40 / 1M$0.14 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.08 / 1M$0.03 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,571 A4 pages of text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
33K8K
Throughput Speed
Tokens generated per second
220 tok/s175 tok/s
SWE-bench Verified
Real-world software engineering
24%23%
GPQA Diamond
Graduate-level reasoning
38%33.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.03 / 1M$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding
GPT-4.1 nano
+1.0% SWE-bench lead
Cost
Amazon Nova Micro
2.9x cheaper monthly runtime
Speed
GPT-4.1 nano
+26% faster generation
Context
GPT-4.1 nano
1.05M tokens window

Skor Benchmark Terverifikasi

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

GPT-4.1 nanoAmazon Nova Micro
SWE-bench Verified (Autonomous Coding)

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

24%vs23%
GPQA Diamond (Doctorate-Level Science & Math)

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

38%vs33.5%
MMLU-Pro (Multi-task Language Understanding)

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

55.5%vs52%
LMSYS Chatbot Arena Elo

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

1195ptsvs1195pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

4.4%vs2.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

12.5%vs15.2%
SciCode (Scientific Computing)

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

15%vs16%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

25.5%vs26%
AIME (Advanced Math Competition)

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

30.5%vs30.5%
Long-Context Reasoning

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

48%vs60%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

220 tok/s vs175 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
GPT-4.1 nano0.22s
Amazon Nova Micro0.18s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-4.1 nano2.49s
Amazon Nova Micro3.04s

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)
GPT-4.1 nano Monthly API Bill
$0.55 / month
$0.1/1M in · $0.4/1M out
Amazon Nova Micro Monthly API Bill
$0.19 / month
$0.035/1M in · $0.14/1M out
Amazon Nova Micro saves approximately $0.36 / month (65%) under this workload.2.9x Savings

GPT-4.1 nano · Strengths & Key Advantages

  • Jendela konteks 1.0M dengan kapasitas output maksimum hingga 33K token (SWE-bench Verified 24% · GPQA Diamond 38%)
  • Kecepatan generasi tinggi 220 token/detik dengan latensi token pertama (TTFT) hanya 220 ms
  • Skema harga API kompetitif (tarif $0.1/$0.4 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

Amazon Nova Micro · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 23% · GPQA Diamond 33.5%)
  • Kecepatan generasi tinggi 175 token/detik dengan latensi token pertama (TTFT) hanya 180 ms
  • Skema harga API kompetitif (tarif $0.035/$0.14 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.

MetricGPT-4.1 nanoAmazon Nova Micro
Cost per Task
Estimated USD to finish one task
$0.04$0.03
Output Tokens / Task
Tokens generated per task
42K15K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-4.1 nanoAmazon Nova Micro
Official API Model ID (SDK)gpt-4-1-nanonova-micro
API ProtocolOpenAI Responses API & Chat Completions v1Amazon REST API (OpenAI-Compatible)
Release Date2025-042024-12
Knowledge CutoffJune 2024October 2024
ArchitectureDense multimodal transformer (nano)Ultra-Fast Text-Only Dense Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.1/1M in) across full 1048K windowFlat rate ($0.035/1M in) across full 128K window
Prompt Cache Policy & TTLAutomatic prefix caching at $0.025/1M (no extra cache-write fee)Cached input at $0.009/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)API Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)Text BPE (~4 chars/token)
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 ClassificationOpenAI Preparedness Framework Audited & System Card PublishedAmazon Production Safety & Alignment 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, visiontext
Output Modalitiestexttext

GPT-4.1 nano vs Amazon Nova Micro: Jawaban Cepat (FAQ)

Which is more intelligent, GPT-4.1 nano or Amazon Nova Micro?

Amazon Nova Micro is more intelligent. It scores 34 compared with 26 on the composite Intelligence Index.

Which model is faster?

GPT-4.1 nano is faster, generating 220 tokens per second compared with 175 tokens per second.

Which model is cheaper to run?

Amazon Nova Micro is cheaper at $0.03 per 1M tokens blended, compared with $0.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Amazon Nova Micro has lower latency, with a time to first token of 0.18s compared with 0.22s.

Which model has a larger context window?

GPT-4.1 nano has a larger context window, supporting 1.05M tokens compared with 128K tokens.

Kesimpulan

Baik GPT-4.1 nano (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Amazon Nova Micro (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Amazon Nova Micro unggul dalam penalaran dan pemrograman, GPT-4.1 nano memberikan kecepatan generasi token lebih tinggi, dan Amazon Nova Micro lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GPT-4.1 nano atau Amazon Nova Micro?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Amazon Nova Micro memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API GPT-4.1 nano vs Amazon Nova Micro?+

GPT-4.1 nano mengenakan biaya $0.10 / $0.40 per 1M token input/output, sedangkan Amazon Nova Micro sebesar $0.04 / $0.14. Secara keseluruhan, Amazon Nova Micro lebih hemat biaya.

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

GPT-4.1 nano mendukung konteks 1.05M token dibandingkan 128K token pada Amazon Nova Micro, sementara GPT-4.1 nano 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 OpenAI & Amazon serta evaluasi benchmark independen (2026).