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Head-to-Head Model Comparison

GPT-5.4 Pro vs GPT-5.4

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
GPT-5.4 Pro vs GPT-5.4: Benchmarks, Pricing & Speed Comparison

GPT-5.4 Pro di OpenAI e GPT-5.4 di OpenAI sono due modelli di IA di riferimento. GPT-5.4 Pro offre una finestra di contesto di 1.05M token a $25.00/$150.00 per milione di token, mentre GPT-5.4 mette a disposizione 1.05M token di contesto a $2.50/$15.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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OpenAI

GPT-5.4 Pro

Modello Ammiraglia di Frontiera

GPT-5.4 Pro di OpenAI è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1.1M, velocità di 48 token/s, indice di intelligenza di 81/100

Intelligence Index81 / 100
Input Token:

$25.00 / 1M

Output Token:

$150.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

80.8%

OpenAI

GPT-5.4

IA Agentica e Strumenti Autonomi

GPT-5.4 di OpenAI è un modello di IA progettato per i workflow agentici autonomi, il tool calling e l’automazione multi-step, con finestra di contesto da 1.1M, velocità di 126 token/s, indice di intelligenza di 78/100 e tariffa di $2.5/$15

Intelligence Index78 / 100
Input Token:

$2.50 / 1M

Output Token:

$15.00 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

79.2%

Differenze Chiave a Colpo d’Occhio

  • GPT-5.4 is 10.0x cheaper for API usage (input + output tokens combined).
  • GPT-5.4 is faster at 126 tok/s vs 48 tok/s.
  • GPT-5.4 Pro leads on SWE-bench coding (80.8% vs 79.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGPT-5.4 ProGPT-5.4
Intelligence Index
Composite reasoning & knowledge score (0-100)
8178
Provider
OpenAIOpenAI
Input Price
Cost per million input tokens
$25.00 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$150.00 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$21.75 / 1M$2.17 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,575 A4 pages of text1.05M tokens~1,575 A4 pages of text
Max Output Tokens
Per single request
128K128K
Throughput Speed
Tokens generated per second
48 tok/s126 tok/s
SWE-bench Verified
Real-world software engineering
80.8%79.2%
GPQA Diamond
Graduate-level reasoning
79.4%78.6%
Cached Input Price
Prompt caching discount per 1M tokens
$2.50 / 1M$0.25 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
GPT-5.4 Pro
+1.6% SWE-bench lead
Cost
GPT-5.4
10.0x cheaper monthly runtime
Speed
GPT-5.4
+163% faster generation
Context
Tied
1.05M tokens window

Punteggi Benchmark Verificati

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

GPT-5.4 ProGPT-5.4
SWE-bench Verified (Autonomous Coding)

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

80.8%vs79.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

79.4%vs78.6%
MMLU-Pro (Multi-task Language Understanding)

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

89.2%vs88.6%
LMSYS Chatbot Arena Elo

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

1450ptsvs1436pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

16%vs15.4%
Terminal-Bench (Agentic Coding & Terminal Use)

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

56.5%vs54.5%
SciCode (Scientific Computing)

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

51%vs49.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

78%vs77%
AIME (Advanced Math Competition)

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

94.2%vs93.8%
Long-Context Reasoning

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

85.6%vs84.5%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

48 tok/s vs126 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-5.4 Pro4.60s
GPT-5.41.08s
Est. End-to-End Response (500 tokens)TTFT + generation time
GPT-5.4 Pro15.02s
GPT-5.45.05s

Simulatore Interattivo dei Costi Token

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-5.4 Pro Monthly API Bill
$176.25 / month
$25/1M in · $150/1M out
GPT-5.4 Monthly API Bill
$17.63 / month
$2.5/1M in · $15/1M out
GPT-5.4 saves approximately $158.63 / month (90%) under this workload.10.0x Savings

GPT-5.4 Pro · Strengths & Key Advantages

  • Finestra di contesto da 1.1M con capacità massima di output fino a 128K token (SWE-bench Verified 80.8% · GPQA Diamond 79.4%)
  • Throughput elevato di 48 token/secondo con latenza al primo token (TTFT) di soli 4600 ms
  • Economia API competitiva ($25/$150 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-5.4 · Strengths & Key Advantages

  • Finestra di contesto da 1.1M con capacità massima di output fino a 128K token (SWE-bench Verified 79.2% · GPQA Diamond 78.6%)
  • Throughput elevato di 126 token/secondo con latenza al primo token (TTFT) di soli 1080 ms
  • Economia API competitiva ($2.5/$15 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

Token Use & Task Economics

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

MetricGPT-5.4 ProGPT-5.4
Cost per Task
Estimated USD to finish one task
$18.50$2.10
Output Tokens / Task
Tokens generated per task
72K62K
Reasoning Tokens / Task
Thinking tokens burned per task
48K34K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureGPT-5.4 ProGPT-5.4
Official API Model ID (SDK)gpt-5-4-progpt-5-4
API ProtocolOpenAI Responses API & Chat Completions v1OpenAI Responses API & Chat Completions v1
Release Date2026-032026-03
Knowledge CutoffAugust 2025August 2025
ArchitectureMaximum-compute agent-ready reasoning modelAgent-ready unified reasoning model
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($25/1M in) across full 1050K windowFlat rate ($2.5/1M in) across full 1050K window
Prompt Cache Policy & TTLAutomatic prefix caching at $2.5/1M (no extra cache-write fee)Automatic prefix caching at $0.25/1M (no extra cache-write fee)
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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 & 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) · Vision (~258–765 tokens per image tile)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 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 Modalitiestext, visiontext, vision
Output Modalitiestexttext

GPT-5.4 Pro vs GPT-5.4: Risposte Rapide (FAQ)

Which is more intelligent, GPT-5.4 Pro or GPT-5.4?

GPT-5.4 Pro is more intelligent. It scores 81 compared with 78 on the composite Intelligence Index.

Which model is faster?

GPT-5.4 is faster, generating 126 tokens per second compared with 48 tokens per second.

Which model is cheaper to run?

GPT-5.4 is cheaper at $2.17 per 1M tokens blended, compared with $21.75 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.4 has lower latency, with a time to first token of 1.08s compared with 4.60s.

Verdetto

Sia GPT-5.4 Pro (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia GPT-5.4 (Ideale per i workflow agentici autonomi, il tool calling e l’automazione multi-step, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: GPT-5.4 Pro guida nei benchmark di ragionamento e programmazione, GPT-5.4 garantisce una generazione più rapida e GPT-5.4 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, GPT-5.4 Pro o GPT-5.4?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale GPT-5.4 Pro. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra GPT-5.4 Pro e GPT-5.4?+

GPT-5.4 Pro costa $25.00 / $150.00 per milione di token di input/output, mentre GPT-5.4 costa $2.50 / $15.00. Nel costo combinato, GPT-5.4 risulta più economico.

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

GPT-5.4 Pro supporta 1.05M token di contesto contro 1.05M token di GPT-5.4, mentre GPT-5.4 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 & 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.

Fonti ufficiali: Documentazione API ufficiale di OpenAI e OpenAI, schede di sistema e benchmark indipendenti (2026).