Head-to-Head Model Comparison

GPT-5.3 Chat vs Grok 4.3

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-5.3 ChatProfile

Grok 4.3Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

OpenAI

GPT-5.3 Chat

Modello Ammiraglia di Frontiera

GPT-5.3 Chat 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 128K, velocità di 138 token/s, indice di intelligenza di 69/1

Intelligence Index69 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

77%

xAI

Grok 4.3

Modello Ammiraglia di Frontiera

Grok 4.3 di xAI 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 1M, velocità di 110 token/s, indice di intelligenza di 71/100 e tari

Intelligence Index71 / 100

Input Token:

$1.25 / 1M

Output Token:

$2.50 / 1M

Context Window:

1M tokens

SWE-bench Verified:

71.4%

Differenze Chiave a Colpo d’Occhio

GPT-5.3 Chat is 1.0x cheaper for API usage (input + output tokens combined).
Grok 4.3 has a larger context window (1M vs 128K tokens).
GPT-5.3 Chat is faster at 138 tok/s vs 110 tok/s.
GPT-5.3 Chat leads on SWE-bench coding (77.0% vs 71.4%).

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	GPT-5.3 Chat	Grok 4.3
Intelligence Index Composite reasoning & knowledge score (0-100)	69	71
Provider	OpenAI	xAI
Input Price Cost per million input tokens	$0.00 / 1M	$1.25 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$2.50 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.72 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	16K	66K
Throughput Speed Tokens generated per second	138 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	77%	71.4%
GPQA Diamond Graduate-level reasoning	78%	73.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$0.31 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

GPT-5.3 Chat

+5.6% SWE-bench lead

Cost

GPT-5.3 Chat

1.0x cheaper monthly runtime

Speed

GPT-5.3 Chat

+25% faster generation

Context

Grok 4.3

1M tokens window

Punteggi Benchmark Verificati

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

GPT-5.3 ChatGrok 4.3

SWE-bench Verified (Autonomous Coding)

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

77%vs71.4%

GPQA Diamond (Doctorate-Level Science & Math)

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

78%vs73.5%

MMLU-Pro (Multi-task Language Understanding)

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

88%vs85.2%

LMSYS Chatbot Arena Elo

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

1416ptsvs1410pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

14.4%vs12.8%

Terminal-Bench (Agentic Coding & Terminal Use)

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

52.5%vs47%

SciCode (Scientific Computing)

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

48%vs44.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

76%vs71.2%

AIME (Advanced Math Competition)

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

93.6%vs85%

Long-Context Reasoning

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

83%vs88.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

138 tok/s vs110 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-5.3 Chat1.06s

Grok 4.30.65s

Est. End-to-End Response (500 tokens)TTFT + generation time

GPT-5.3 Chat4.68s

Grok 4.35.20s

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-5.3 Chat Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Grok 4.3 Monthly API Bill

$4.59 / month

$1.25/1M in · $2.5/1M out

GPT-5.3 Chat saves approximately $4.59 / month (100%) under this workload.1.0x Savings

GPT-5.3 Chat · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 16K token (SWE-bench Verified 77% · GPQA Diamond 78%)
Throughput elevato di 138 token/secondo con latenza al primo token (TTFT) di soli 1060 ms
Economia API competitiva (accesso gratuito a pesi aperti) 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

Grok 4.3 · Strengths & Key Advantages

Finestra di contesto da 1M con capacità massima di output fino a 66K token (SWE-bench Verified 71.4% · GPQA Diamond 73.5%)
Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 650 ms
Economia API competitiva ($1.25/$2.5 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-5.3 Chat	Grok 4.3
Cost per Task Estimated USD to finish one task	$2.20	$1.35
Output Tokens / Task Tokens generated per task	56K	46K
Reasoning Tokens / Task Thinking tokens burned per task	31K	22K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	GPT-5.3 Chat	Grok 4.3
Official API Model ID (SDK)	gpt-5-3-chat	grok-4-3-latest
API Protocol	OpenAI Responses API & Chat Completions v1	xAI REST API (OpenAI-Compatible)
Release Date	2026-03	2026-04
Knowledge Cutoff	November 2025	January 2026
Architecture	Chat-tuned unified reasoning model	Colossus-Scale Mixture-of-Experts
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Free across full context window (only KV-cache VRAM scales)	Flat rate ($1.25/1M in) across full 1000K window
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Cached input at $0.31/1M 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	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	Real-time Web & X (Twitter) Search Grounding + Code Execution
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) · Vision (~258–765 tokens per image tile)
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	xAI 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, vision
Output Modalities	text	text

GPT-5.3 Chat vs Grok 4.3: Risposte Rapide (FAQ)

Which is more intelligent, GPT-5.3 Chat or Grok 4.3?

Grok 4.3 is more intelligent. It scores 71 compared with 69 on the composite Intelligence Index.

Which model is faster?

GPT-5.3 Chat is faster, generating 138 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

GPT-5.3 Chat is cheaper at $0.00 per 1M tokens blended, compared with $0.72 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 4.3 has lower latency, with a time to first token of 0.65s compared with 1.06s.

Which model has a larger context window?

Grok 4.3 has a larger context window, supporting 1M tokens compared with 128K tokens.

Verdetto

Sia GPT-5.3 Chat (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Grok 4.3 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Grok 4.3 guida nei benchmark di ragionamento e programmazione, GPT-5.3 Chat garantisce una generazione più rapida e GPT-5.3 Chat offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, GPT-5.3 Chat o Grok 4.3?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Grok 4.3. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra GPT-5.3 Chat e Grok 4.3?+

GPT-5.3 Chat costa $0.00 / $0.00 per milione di token di input/output, mentre Grok 4.3 costa $1.25 / $2.50. Nel costo combinato, GPT-5.3 Chat risulta più economico.

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

GPT-5.3 Chat supporta 128K token di contesto contro 1M token di Grok 4.3, mentre GPT-5.3 Chat 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-5.3 Chat vs Grok 4.3

Cambia e Confronta Qualsiasi Modello

GPT-5.3 Chat

Grok 4.3

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

GPT-5.3 Chat · Strengths & Key Advantages

Considerations & Trade-offs

Grok 4.3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

GPT-5.3 Chat vs Grok 4.3: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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