Head-to-Head Model Comparison

GPT-3 vs GPT-3.5 Turbo

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-3 vs GPT-3.5 Turbo: Benchmarks, Pricing & Speed Comparison

GPT-3 dari OpenAI dan GPT-3.5 Turbo dari OpenAI adalah dua model AI unggulan. GPT-3 menawarkan jendela konteks 2K token dengan harga $20.00/$20.00 per 1 juta token, sedangkan GPT-3.5 Turbo menyediakan konteks 16.4K token seharga $0.50/$1.50 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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GPT-3

Model Generasi Klasik

GPT-3 dari OpenAI adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 2K, kecepatan 40 token/detik, indeks kecerdasan 22/100, serta tarif $20/$20 per 1M tok

Intelligence Index22 / 100
Input Token:

$20.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

OpenAI

GPT-3.5 Turbo

Inferensi Super Cepat

GPT-3.5 Turbo dari OpenAI adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 16K, kecepatan 90 token/detik, indeks kecerdasan 30/100, serta tarif

Intelligence Index30 / 100
Input Token:

$0.50 / 1M

Output Token:

$1.50 / 1M

Context Window:

16.4K tokens

SWE-bench Verified:

12.5%

Perbedaan Utama Sekilas

  • GPT-3.5 Turbo is 22.4x cheaper for API usage (input + output tokens combined).
  • GPT-3.5 Turbo has a larger context window (16K vs 2K tokens).
  • GPT-3.5 Turbo is faster at 90 tok/s vs 40 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-3GPT-3.5 Turbo
Intelligence Index
Composite reasoning & knowledge score (0-100)
2230
Provider
OpenAIOpenAI
Input Price
Cost per million input tokens
$20.00 / 1M$0.50 / 1M
Output Price
Cost per million output tokens
$20.00 / 1M$1.50 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$9.50 / 1M$0.42 / 1M
Context Window
Maximum input + output tokens
2K tokens~3 A4 pages of text16.4K tokens~25 A4 pages of text
Max Output Tokens
Per single request
2K4K
Throughput Speed
Tokens generated per second
40 tok/s90 tok/s
SWE-bench Verified
Real-world software engineering
N/A12.5%
GPQA Diamond
Graduate-level reasoning
N/A28%
Cached Input Price
Prompt caching discount per 1M tokens
$5.00 / 1M$0.25 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
GPT-3.5 Turbo
22.4x cheaper monthly runtime
Speed
GPT-3.5 Turbo
+125% faster generation
Context
GPT-3.5 Turbo
16.4K tokens window

Skor Benchmark Terverifikasi

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

GPT-3GPT-3.5 Turbo
SWE-bench Verified (Autonomous Coding)

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

N/Avs12.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs28%
MMLU-Pro (Multi-task Language Understanding)

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

43.9%vs56.8%
LMSYS Chatbot Arena Elo

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

980ptsvs1115pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

40 tok/s vs90 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-30.90s
GPT-3.5 Turbo0.45s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-313.40s
GPT-3.5 Turbo6.01s

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-3 Monthly API Bill
$55.50 / month
$20/1M in · $20/1M out
GPT-3.5 Turbo Monthly API Bill
$2.48 / month
$0.5/1M in · $1.5/1M out
GPT-3.5 Turbo saves approximately $53.02 / month (96%) under this workload.22.4x Savings

GPT-3 · Strengths & Key Advantages

  • Jendela konteks 2K dengan kapasitas output maksimum hingga 2K token (MMLU-Pro 43.9% · Arena Elo 980)
  • Kecepatan generasi tinggi 40 token/detik dengan latensi token pertama (TTFT) hanya 900 ms
  • Skema harga API kompetitif (tarif $20/$20 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
  • Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

GPT-3.5 Turbo · Strengths & Key Advantages

  • Jendela konteks 16K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 12.5% · GPQA Diamond 28%)
  • Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 450 ms
  • Skema harga API kompetitif (tarif $0.5/$1.5 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-3GPT-3.5 Turbo
Cost per Task
Estimated USD to finish one task
$0.20$0.20
Output Tokens / Task
Tokens generated per task
24K24K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-3GPT-3.5 Turbo
Official API Model ID (SDK)gpt-3gpt-3-5-turbo
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI Responses API & Chat Completions v1
Release Date2020-062022-11
Knowledge CutoffJune 2020September 2021
ArchitectureAutoregressive Transformer (Davinci)Transformer with RLHF & PPO
Parameters175BConfidential (est. 20B MoE / 175B base)
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 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 ($20/1M in) across full 2K windowFlat rate ($0.5/1M in) across full 16K window
Prompt Cache Policy & TTLAutomatic prefix caching at $5/1M (no extra cache-write fee)Automatic prefix caching at $0.25/1M (no extra cache-write fee)
Computer Use / GUI AgentText-only completion (No GUI action loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool CallingPrompt-based JSON extraction onlyNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxNative Web Search tool + Hosted Code Interpreter & File Search RAGNative Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning SupportSupervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token BillingText BPE (~4 chars/token)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 PublishedOpenAI 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 Modalitiestexttext
Output Modalitiestexttext

GPT-3 vs GPT-3.5 Turbo: Jawaban Cepat (FAQ)

Which is more intelligent, GPT-3 or GPT-3.5 Turbo?

GPT-3.5 Turbo is more intelligent. It scores 30 compared with 22 on the composite Intelligence Index.

Which model is faster?

GPT-3.5 Turbo is faster, generating 90 tokens per second compared with 40 tokens per second.

Which model is cheaper to run?

GPT-3.5 Turbo is cheaper at $0.42 per 1M tokens blended, compared with $9.50 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-3.5 Turbo has lower latency, with a time to first token of 0.45s compared with 0.90s.

Which model has a larger context window?

GPT-3.5 Turbo has a larger context window, supporting 16.4K tokens compared with 2K tokens.

Kesimpulan

Baik GPT-3 (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun GPT-3.5 Turbo (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: GPT-3.5 Turbo unggul dalam penalaran dan pemrograman, GPT-3.5 Turbo memberikan kecepatan generasi token lebih tinggi, dan GPT-3.5 Turbo lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, GPT-3 atau GPT-3.5 Turbo?+

Dalam indeks kecerdasan gabungan dan benchmark coding, GPT-3.5 Turbo memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API GPT-3 vs GPT-3.5 Turbo?+

GPT-3 mengenakan biaya $20.00 / $20.00 per 1M token input/output, sedangkan GPT-3.5 Turbo sebesar $0.50 / $1.50. Secara keseluruhan, GPT-3.5 Turbo lebih hemat biaya.

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

GPT-3 mendukung konteks 2K token dibandingkan 16.4K token pada GPT-3.5 Turbo, sementara GPT-3.5 Turbo 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.

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 & OpenAI serta evaluasi benchmark independen (2026).