Head-to-Head Model Comparison

Grok 4.3 vs Grok Build 0.1

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 4.3Profile

Grok Build 0.1Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

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%

xAI

Grok Build 0.1

Leader in Programmazione e Codice

Grok Build 0.1 di xAI è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 256K, velocità di 120 token/s, indice di intelligenza di 65/100 e tariffa

Intelligence Index65 / 100

Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

Differenze Chiave a Colpo d’Occhio

Grok Build 0.1 is 1.2x cheaper for API usage (input + output tokens combined).
Grok 4.3 has a larger context window (1M vs 256K tokens).
Grok Build 0.1 is faster at 120 tok/s vs 110 tok/s.
Grok 4.3 leads on SWE-bench coding (71.4% vs 69.8%).

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

Feature	Grok 4.3	Grok Build 0.1
Intelligence Index Composite reasoning & knowledge score (0-100)	71	65
Provider	xAI	xAI
Input Price Cost per million input tokens	$1.25 / 1M	$1.00 / 1M
Output Price Cost per million output tokens	$2.50 / 1M	$2.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.72 / 1M	$0.57 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	256K tokens~384 A4 pages of text
Max Output Tokens Per single request	66K	66K
Throughput Speed Tokens generated per second	110 tok/s	120 tok/s
SWE-bench Verified Real-world software engineering	71.4%	69.8%
GPQA Diamond Graduate-level reasoning	73.5%	68.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.31 / 1M	$0.25 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Grok 4.3

+1.6% SWE-bench lead

Cost

Grok Build 0.1

1.2x cheaper monthly runtime

Speed

Grok Build 0.1

+9% faster generation

Context

Grok 4.3

1M tokens window

Punteggi Benchmark Verificati

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

Grok 4.3Grok Build 0.1

SWE-bench Verified (Autonomous Coding)

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

71.4%vs69.8%

GPQA Diamond (Doctorate-Level Science & Math)

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

73.5%vs68.2%

MMLU-Pro (Multi-task Language Understanding)

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

85.2%vs82.5%

LMSYS Chatbot Arena Elo

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

1410ptsvs1375pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

12.8%vs10.5%

Terminal-Bench (Agentic Coding & Terminal Use)

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

47%vs46.2%

SciCode (Scientific Computing)

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

44.5%vs42%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

71.2%vs68.5%

AIME (Advanced Math Competition)

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

85%vs82.1%

Long-Context Reasoning

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

88.5%vs80.4%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 tok/s vs120 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 4.30.65s

Grok Build 0.10.55s

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

Grok 4.35.20s

Grok Build 0.14.72s

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 4.3 Monthly API Bill

$4.59 / month

$1.25/1M in · $2.5/1M out

Grok Build 0.1 Monthly API Bill

$3.67 / month

$1/1M in · $2/1M out

Grok Build 0.1 saves approximately $0.92 / month (20%) under this workload.1.2x Savings

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

Grok Build 0.1 · Strengths & Key Advantages

Finestra di contesto da 256K con capacità massima di output fino a 66K token (SWE-bench Verified 69.8% · GPQA Diamond 68.2%)
Throughput elevato di 120 token/secondo con latenza al primo token (TTFT) di soli 550 ms
Economia API competitiva ($1/$2 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 4.3	Grok Build 0.1
Cost per Task Estimated USD to finish one task	$1.35	$0.95
Output Tokens / Task Tokens generated per task	46K	42K
Reasoning Tokens / Task Thinking tokens burned per task	22K	18K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	Grok 4.3	Grok Build 0.1
Official API Model ID (SDK)	grok-4-3-latest	grok-build-0-1-latest
API Protocol	xAI REST API (OpenAI-Compatible)	xAI REST API (OpenAI-Compatible)
Release Date	2026-04	2026-04
Knowledge Cutoff	January 2026	January 2026
Architecture	Colossus-Scale Mixture-of-Experts	Code-Specialized Autoregressive Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($1.25/1M in) across full 1000K window	Flat rate ($1/1M in) across full 256K window
Prompt Cache Policy & TTL	Cached input at $0.31/1M tokens	Cached input at $0.25/1M 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 4.3 vs Grok Build 0.1: Risposte Rapide (FAQ)

Which is more intelligent, Grok 4.3 or Grok Build 0.1?

Grok 4.3 is more intelligent. It scores 71 compared with 65 on the composite Intelligence Index.

Which model is faster?

Grok Build 0.1 is faster, generating 120 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $0.72 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok Build 0.1 has lower latency, with a time to first token of 0.55s compared with 0.65s.

Which model has a larger context window?

Grok 4.3 has a larger context window, supporting 1M tokens compared with 256K tokens.

Verdetto

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.) sia Grok Build 0.1 (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Grok 4.3 guida nei benchmark di ragionamento e programmazione, Grok Build 0.1 garantisce una generazione più rapida e Grok Build 0.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Grok 4.3 o Grok Build 0.1?+

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 Grok 4.3 e Grok Build 0.1?+

Grok 4.3 costa $1.25 / $2.50 per milione di token di input/output, mentre Grok Build 0.1 costa $1.00 / $2.00. Nel costo combinato, Grok Build 0.1 risulta più economico.

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

Grok 4.3 supporta 1M token di contesto contro 256K token di Grok Build 0.1, mentre Grok Build 0.1 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 4.3 vs Grok Build 0.1

Cambia e Confronta Qualsiasi Modello

Grok 4.3

Grok Build 0.1

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Grok 4.3 · Strengths & Key Advantages

Considerations & Trade-offs

Grok Build 0.1 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Grok 4.3 vs Grok Build 0.1: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

Related reading