Head-to-Head Model Comparison

GPT-4.1 nano vs Amazon Nova Micro

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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GPT-4.1 nanoProfile

Amazon Nova MicroProfile

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Popular Matchups:

OpenAI

GPT-4.1 nano

Hafif ve Ekonomik Model

OpenAI tarafından geliştirilen GPT-4.1 nano; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 1.0M bağlam penceresi, 220 token/sn hız, 26/100 zeka indeksi ve 1M token başına $0.1/$0.4 fiyatlandırma su

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

Hafif ve Ekonomik Model

Amazon tarafından geliştirilen Amazon Nova Micro; token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı için tasarlanmış olup 128K bağlam penceresi, 175 token/sn hız, 34/100 zeka indeksi ve 1M token başına $0.035/$0.14 fiyatlan

Intelligence Index34 / 100

Input Token:

$0.04 / 1M

Output Token:

$0.14 / 1M

Context Window:

128K tokens

SWE-bench Verified:

23%

Bir Bakışta Temel Farklar

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 →

Feature	GPT-4.1 nano	Amazon Nova Micro
Intelligence Index Composite reasoning & knowledge score (0-100)	26	34
Provider	OpenAI	Amazon
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 text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	33K	8K
Throughput Speed Tokens generated per second	220 tok/s	175 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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

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

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

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)

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

1.0M bağlam penceresi ve yanıt başına maksimum 33K çıktı tokenı kapasitesi (SWE-bench Verified 24% · GPQA Diamond 38%)
Sadece 220 ms ilk token gecikmesi (TTFT) ile saniyede 220 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.1/$0.4 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

Amazon Nova Micro · Strengths & Key Advantages

128K bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (SWE-bench Verified 23% · GPQA Diamond 33.5%)
Sadece 180 ms ilk token gecikmesi (TTFT) ile saniyede 175 token yüksek üretim hızı
İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.035/$0.14 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

Token Use & Task Economics

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

Metric	GPT-4.1 nano	Amazon Nova Micro
Cost per Task Estimated USD to finish one task	$0.04	$0.03
Output Tokens / Task Tokens generated per task	42K	15K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Teknik Özellikler

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-4.1 nano	Amazon Nova Micro
Official API Model ID (SDK)	gpt-4-1-nano	nova-micro
API Protocol	OpenAI Responses API & Chat Completions v1	Amazon REST API (OpenAI-Compatible)
Release Date	2025-04	2024-12
Knowledge Cutoff	June 2024	October 2024
Architecture	Dense multimodal transformer (nano)	Ultra-Fast Text-Only Dense Transformer
Parameters	Confidential	Confidential
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)	Flat rate ($0.1/1M in) across full 1048K window	Flat rate ($0.035/1M in) across full 128K window
Prompt Cache Policy & TTL	Automatic prefix caching at $0.025/1M (no extra cache-write fee)	Cached input at $0.009/1M 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	Native Web Search tool + Hosted Code Interpreter & File Search RAG	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	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)
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	OpenAI Preparedness Framework Audited & System Card Published	Amazon 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
Output Modalities	text	text

GPT-4.1 nano vs Amazon Nova Micro: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem GPT-4.1 nano (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Amazon Nova Micro (token başına maksimum maliyet verimliliği ve hızlı üretim çıkarımı, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Amazon Nova Micro karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, GPT-4.1 nano daha yüksek üretim hızı sağlar; Amazon Nova Micro ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için GPT-4.1 nano mi yoksa Amazon Nova Micro mi daha iyi?+

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

GPT-4.1 nano ve Amazon Nova Micro API fiyatları nasıl karşılaştırılır?+

GPT-4.1 nano 1M giriş/çıkış tokeni başına $0.10 / $0.40 ücretlendirilirken, Amazon Nova Micro $0.04 / $0.14 seviyesindedir. Karma maliyette Amazon Nova Micro daha avantajlıdır.

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

GPT-4.1 nano 1.05M token bağlam penceresi sunarken Amazon Nova Micro 128K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise GPT-4.1 nano 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)

GPT-4.1 nano vs Amazon Nova Micro

İstediğiniz Modelleri Seçin ve Karşılaştırın

GPT-4.1 nano

Amazon Nova Micro

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

GPT-4.1 nano · Strengths & Key Advantages

Considerations & Trade-offs

Amazon Nova Micro · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

GPT-4.1 nano vs Amazon Nova Micro: Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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