Head-to-Head Model Comparison

Grok 4.5 vs Grok 4.7

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 4.5Profile

Grok 4.7Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 4.5

Motore di Ragionamento Profondo

Grok 4.5 di xAI è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 500K, velocità di 130 token/s, indice di intelligenza di 75/100 e tariffa di $2/$

Intelligence Index75 / 100

Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

500K tokens

SWE-bench Verified:

74.2%

xAI

Grok 4.7

Modello Ammiraglia di Frontiera

Grok 4.7 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 500K, velocità di 110 token/s, indice di intelligenza di 46/100 e ta

Intelligence Index46 / 100

Input Token:

$2.00 / 1M

Output Token:

$6.00 / 1M

Context Window:

500K tokens

SWE-bench Verified:

77.2%

Differenze Chiave a Colpo d’Occhio

Both models cost the same under this workload — choose on capability, not price.
Grok 4.5 is faster at 130 tok/s vs 110 tok/s.
Grok 4.7 leads on SWE-bench coding (77.2% vs 74.2%).

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

Feature	Grok 4.5	Grok 4.7
Intelligence Index Composite reasoning & knowledge score (0-100)	75	46
Provider	xAI	xAI
Input Price Cost per million input tokens	$2.00 / 1M	$2.00 / 1M
Output Price Cost per million output tokens	$6.00 / 1M	$6.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.35 / 1M	$1.35 / 1M
Context Window Maximum input + output tokens	500K tokens~750 A4 pages of text	500K tokens~750 A4 pages of text
Max Output Tokens Per single request	66K	66K
Throughput Speed Tokens generated per second	130 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	74.2%	77.2%
GPQA Diamond Graduate-level reasoning	75.9%	78.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.50 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Grok 4.7

+3.0% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Grok 4.5

+18% faster generation

Context

Tied

500K tokens window

Punteggi Benchmark Verificati

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

Grok 4.5Grok 4.7

SWE-bench Verified (Autonomous Coding)

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

74.2%vs77.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

75.9%vs78.5%

MMLU-Pro (Multi-task Language Understanding)

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

86.8%vs88.6%

LMSYS Chatbot Arena Elo

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

1435ptsvs1465pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

13.9%vs15.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

49.5%vs38%

SciCode (Scientific Computing)

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

47%vs52.4%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

73.5%vs76.5%

AIME (Advanced Math Competition)

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

87.8%vs91.2%

Long-Context Reasoning

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

87.2%vs89.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 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

Grok 4.50.50s

Grok 4.70.62s

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

Grok 4.54.35s

Grok 4.75.17s

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 4.5 Monthly API Bill

$9.15 / month

$2/1M in · $6/1M out

Grok 4.7 Monthly API Bill

$9.15 / month

$2/1M in · $6/1M out

These models cost the same under this workload — no savings either way.Break-even

Grok 4.5 · Strengths & Key Advantages

Finestra di contesto da 500K con capacità massima di output fino a 66K token (SWE-bench Verified 74.2% · GPQA Diamond 75.9%)
Throughput elevato di 130 token/secondo con latenza al primo token (TTFT) di soli 500 ms
Economia API competitiva ($2/$6 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

Grok 4.7 · Strengths & Key Advantages

Finestra di contesto da 500K con capacità massima di output fino a 66K token (SWE-bench Verified 77.2% · GPQA Diamond 78.5%)
Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 620 ms
Economia API competitiva ($2/$6 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.

Metric	Grok 4.5	Grok 4.7
Cost per Task Estimated USD to finish one task	$0.62	$0.68
Output Tokens / Task Tokens generated per task	44K	46K
Reasoning Tokens / Task Thinking tokens burned per task	20K	23K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Grok 4.5 vs Grok 4.7: Risposte Rapide (FAQ)

Which is more intelligent, Grok 4.5 or Grok 4.7?

Grok 4.5 is more intelligent. It scores 75 compared with 46 on the composite Intelligence Index.

Which model is faster?

Grok 4.5 is faster, generating 130 tokens per second compared with 110 tokens per second.

Which model has lower latency?

Grok 4.5 has lower latency, with a time to first token of 0.50s compared with 0.62s.

Verdetto

Sia Grok 4.5 (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Grok 4.7 (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 4.5 guida nei benchmark di ragionamento e programmazione, Grok 4.5 garantisce una generazione più rapida e Grok 4.5 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Grok 4.5 o Grok 4.7?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Grok 4.5. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Grok 4.5 e Grok 4.7?+

Grok 4.5 costa $2.00 / $6.00 per milione di token di input/output, mentre Grok 4.7 costa $2.00 / $6.00. Nel costo combinato, Grok 4.5 risulta più economico.

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

Grok 4.5 supporta 500K token di contesto contro 500K token di Grok 4.7, mentre Grok 4.5 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)

Feature	Grok 4.5	Grok 4.7
Official API Model ID (SDK)	grok-4-5-latest	grok-4-7-latest
API Protocol	xAI REST API (OpenAI-Compatible)	xAI REST API (OpenAI-Compatible)
Release Date	2026-07	2026-09
Knowledge Cutoff	March 2026	April 2026
Architecture	Advanced Sparse MoE	2.1T Multimodal Sparse MoE
Parameters	Confidential	2.1T (MoE)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($2/1M in) across full 500K window	Flat rate ($2/1M in) across full 500K window
Prompt Cache Policy & TTL	Cached input at $0.5/1M tokens	Cached input at $0.5/1M tokens
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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 · 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	Real-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	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	xAI Production Safety & Alignment Verified	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

Grok 4.5 vs Grok 4.7

Cambia e Confronta Qualsiasi Modello

Grok 4.5

Grok 4.7

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Grok 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

Grok 4.7 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Grok 4.5 vs Grok 4.7: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

Related reading