Head-to-Head Model Comparison

GPT-3 vs GPT-3.5 Turbo

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

GPT-3Profile

GPT-3.5 TurboProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-3

Modello di Generazione Classica

GPT-3 di OpenAI è un modello di IA progettato per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, con finestra di contesto da 2K, velocità di 40 token/s, indice di intelligenza di 22/100 e tariffa di $

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

Inferenza Ultra-Rapida

GPT-3.5 Turbo di OpenAI è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 16K, velocità di 90 token/s, indice di intelligenza di 30/100 e tariffa di

Intelligence Index30 / 100

Input Token:

$0.50 / 1M

Output Token:

$1.50 / 1M

Context Window:

16.4K tokens

SWE-bench Verified:

12.5%

Differenze Chiave a Colpo d’Occhio

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 →

Feature	GPT-3	GPT-3.5 Turbo
Intelligence Index Composite reasoning & knowledge score (0-100)	22	30
Provider	OpenAI	OpenAI
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 text	16.4K tokens~25 A4 pages of text
Max Output Tokens Per single request	2K	4K
Throughput Speed Tokens generated per second	40 tok/s	90 tok/s
SWE-bench Verified Real-world software engineering	N/A	12.5%
GPQA Diamond Graduate-level reasoning	N/A	28%
Cached Input Price Prompt caching discount per 1M tokens	$5.00 / 1M	$0.25 / 1M

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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-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

Finestra di contesto da 2K con capacità massima di output fino a 2K token (MMLU-Pro 43.9% · Arena Elo 980)
Throughput elevato di 40 token/secondo con latenza al primo token (TTFT) di soli 900 ms
Economia API competitiva ($20/$20 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

GPT-3.5 Turbo · Strengths & Key Advantages

Finestra di contesto da 16K con capacità massima di output fino a 4K token (SWE-bench Verified 12.5% · GPQA Diamond 28%)
Throughput elevato di 90 token/secondo con latenza al primo token (TTFT) di soli 450 ms
Economia API competitiva ($0.5/$1.5 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

Metric	GPT-3	GPT-3.5 Turbo
Cost per Task Estimated USD to finish one task	$0.20	$0.20
Output Tokens / Task Tokens generated per task	24K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-3	GPT-3.5 Turbo
Official API Model ID (SDK)	gpt-3	gpt-3-5-turbo
API Protocol	OpenAI Responses API & Chat Completions v1	OpenAI Responses API & Chat Completions v1
Release Date	2020-06	2022-11
Knowledge Cutoff	June 2020	September 2021
Architecture	Autoregressive Transformer (Davinci)	Transformer with RLHF & PPO
Parameters	175B	Confidential (est. 20B MoE / 175B base)
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	10,000 – 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 window	Flat rate ($0.5/1M in) across full 16K window
Prompt Cache Policy & TTL	Automatic 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 Agent	Text-only completion (No GUI action loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Prompt-based JSON extraction only	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	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
Multimodal Token Billing	Text BPE (~4 chars/token)	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	OpenAI Preparedness Framework Audited & System Card Published
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	text
Output Modalities	text	text

GPT-3 vs GPT-3.5 Turbo: Risposte Rapide (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.

Verdetto

Sia GPT-3 (Ideale per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, sistemi RAG aziendali e integrazioni API scalabili.) sia GPT-3.5 Turbo (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: GPT-3.5 Turbo guida nei benchmark di ragionamento e programmazione, GPT-3.5 Turbo garantisce una generazione più rapida e GPT-3.5 Turbo offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, GPT-3 o GPT-3.5 Turbo?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale GPT-3.5 Turbo. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra GPT-3 e GPT-3.5 Turbo?+

GPT-3 costa $20.00 / $20.00 per milione di token di input/output, mentre GPT-3.5 Turbo costa $0.50 / $1.50. Nel costo combinato, GPT-3.5 Turbo risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

GPT-3 supporta 2K token di contesto contro 16.4K token di GPT-3.5 Turbo, mentre GPT-3.5 Turbo offre una velocità di generazione superiore.

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-3 vs GPT-3.5 Turbo

Cambia e Confronta Qualsiasi Modello

GPT-3

GPT-3.5 Turbo

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

GPT-3 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-3.5 Turbo · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

GPT-3 vs GPT-3.5 Turbo: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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