Head-to-Head Model Comparison

Grok 4.1 vs GPT-5.1

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.

Grok 4.1Profile

GPT-5.1Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 4.1

Modello Ammiraglia di Frontiera

Grok 4.1 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 2M, velocità di 142 token/s, indice di intelligenza di 51/100 e tari

Intelligence Index51 / 100

Input Token:

$0.20 / 1M

Output Token:

$1.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

66.4%

OpenAI

GPT-5.1

Modello Ammiraglia di Frontiera

GPT-5.1 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 400K, velocità di 130 token/s, indice di intelligenza di 60/100 e

Intelligence Index60 / 100

Input Token:

$1.25 / 1M

Output Token:

$10.00 / 1M

Context Window:

400K tokens

SWE-bench Verified:

74.9%

Differenze Chiave a Colpo d’Occhio

Grok 4.1 is 8.7x cheaper for API usage (input + output tokens combined).
Grok 4.1 has a larger context window (2M vs 400K tokens).
Grok 4.1 is faster at 142 tok/s vs 130 tok/s.
GPT-5.1 leads on SWE-bench coding (74.9% vs 66.4%).

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

Feature	Grok 4.1	GPT-5.1
Intelligence Index Composite reasoning & knowledge score (0-100)	51	60
Provider	xAI	OpenAI
Input Price Cost per million input tokens	$0.20 / 1M	$1.25 / 1M
Output Price Cost per million output tokens	$1.00 / 1M	$10.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.17 / 1M	$1.34 / 1M
Context Window Maximum input + output tokens	2M tokens~3,000 A4 pages of text	400K tokens~600 A4 pages of text
Max Output Tokens Per single request	66K	128K
Throughput Speed Tokens generated per second	142 tok/s	130 tok/s
SWE-bench Verified Real-world software engineering	66.4%	74.9%
GPQA Diamond Graduate-level reasoning	63.8%	72.1%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.13 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

GPT-5.1

+8.5% SWE-bench lead

Cost

Grok 4.1

8.7x cheaper monthly runtime

Speed

Grok 4.1

+9% faster generation

Context

Grok 4.1

2M tokens window

Punteggi Benchmark Verificati

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

Grok 4.1GPT-5.1

SWE-bench Verified (Autonomous Coding)

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

66.4%vs74.9%

GPQA Diamond (Doctorate-Level Science & Math)

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

63.8%vs72.1%

MMLU-Pro (Multi-task Language Understanding)

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

80.1%vs86.1%

LMSYS Chatbot Arena Elo

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

1298ptsvs1368pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

8.2%vs12.1%

Terminal-Bench (Agentic Coding & Terminal Use)

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

38.5%vs46.7%

SciCode (Scientific Computing)

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

37.4%vs43.2%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

64.9%vs71.8%

AIME (Advanced Math Competition)

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

79.3%vs91.2%

Long-Context Reasoning

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

76.2%vs77.9%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

142 tok/s vs130 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

Grok 4.11.50s

GPT-5.11.20s

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

Grok 4.15.02s

GPT-5.15.05s

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)

Grok 4.1 Monthly API Bill

$1.28 / month

$0.2/1M in · $1/1M out

GPT-5.1 Monthly API Bill

$11.06 / month

$1.25/1M in · $10/1M out

Grok 4.1 saves approximately $9.79 / month (88%) under this workload.8.7x Savings

Grok 4.1 · Strengths & Key Advantages

Finestra di contesto da 2M con capacità massima di output fino a 66K token (SWE-bench Verified 66.4% · GPQA Diamond 63.8%)
Throughput elevato di 142 token/secondo con latenza al primo token (TTFT) di soli 1500 ms
Economia API competitiva ($0.2/$1 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

GPT-5.1 · Strengths & Key Advantages

Finestra di contesto da 400K con capacità massima di output fino a 128K token (SWE-bench Verified 74.9% · GPQA Diamond 72.1%)
Throughput elevato di 130 token/secondo con latenza al primo token (TTFT) di soli 1200 ms
Economia API competitiva ($1.25/$10 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	Grok 4.1	GPT-5.1
Cost per Task Estimated USD to finish one task	$0.28	$1.45
Output Tokens / Task Tokens generated per task	40K	52K
Reasoning Tokens / Task Thinking tokens burned per task	21K	28K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Grok 4.1	GPT-5.1
Official API Model ID (SDK)	grok-4-1-latest	gpt-5-1
API Protocol	xAI REST API (OpenAI-Compatible)	OpenAI Responses API & Chat Completions v1
Release Date	2025-11	2025-11
Knowledge Cutoff	2025	October 2024
Architecture	Sparse MoE	Unified Reasoning (Instant & Thinking)
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.2/1M in) across full 2000K window	Flat rate ($1.25/1M in) across full 400K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Automatic prefix caching at $0.125/1M (no extra cache-write fee)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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	Real-time Web & X (Twitter) Search Grounding + Code Execution	Native Web Search tool + Hosted Code Interpreter & File Search RAG
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Supervised Fine-Tuning (SFT), Direct Preference (DPO) & Reinforcement Fine-Tuning (RFT)
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	xAI Production Safety & Alignment Verified	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, vision	text, vision
Output Modalities	text	text

Grok 4.1 vs GPT-5.1: Risposte Rapide (FAQ)

Which is more intelligent, Grok 4.1 or GPT-5.1?

GPT-5.1 is more intelligent. It scores 60 compared with 51 on the composite Intelligence Index.

Which model is faster?

Grok 4.1 is faster, generating 142 tokens per second compared with 130 tokens per second.

Which model is cheaper to run?

Grok 4.1 is cheaper at $0.17 per 1M tokens blended, compared with $1.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

GPT-5.1 has lower latency, with a time to first token of 1.20s compared with 1.50s.

Which model has a larger context window?

Grok 4.1 has a larger context window, supporting 2M tokens compared with 400K tokens.

Verdetto

Sia Grok 4.1 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia GPT-5.1 (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: GPT-5.1 guida nei benchmark di ragionamento e programmazione, Grok 4.1 garantisce una generazione più rapida e Grok 4.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Grok 4.1 o GPT-5.1?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale GPT-5.1. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Grok 4.1 e GPT-5.1?+

Grok 4.1 costa $0.20 / $1.00 per milione di token di input/output, mentre GPT-5.1 costa $1.25 / $10.00. Nel costo combinato, Grok 4.1 risulta più economico.

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

Grok 4.1 supporta 2M token di contesto contro 400K token di GPT-5.1, mentre Grok 4.1 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)

Grok 4.1 vs GPT-5.1

Cambia e Confronta Qualsiasi Modello

Grok 4.1

GPT-5.1

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Grok 4.1 · Strengths & Key Advantages

Considerations & Trade-offs

GPT-5.1 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Grok 4.1 vs GPT-5.1: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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