Head-to-Head Model Comparison

Grok 4.3 vs Grok Build 0.1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Grok 4.3 vs Grok Build 0.1: Benchmarks, Pricing & Speed Comparison

Grok 4.3 da xAI e Grok Build 0.1 da xAI são dois modelos de IA de destaque. O Grok 4.3 oferece uma janela de contexto de 1M tokens a $1.25/$2.50 por milhão de tokens, enquanto o Grok Build 0.1 oferece 256K tokens de contexto a $1.00/$2.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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Grok 4.3

Modelo Principal de Fronteira

O Grok 4.3 da xAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 1M, velocidade de 110 tokens/s, índice de inteligência de 71/100 e tarifa de

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

Líder em Programação e Código

O Grok Build 0.1 da xAI é um modelo de IA projetado para engenharia de software autônoma, refatoração de código e depuração avançada, oferecendo janela de contexto de 256K, velocidade de 120 tokens/s, índice de inteligência de 65/100 e tari

Intelligence Index65 / 100
Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

Principais Diferenças em Resumo

  • 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 →
FeatureGrok 4.3Grok Build 0.1
Intelligence Index
Composite reasoning & knowledge score (0-100)
7165
Provider
xAIxAI
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 text256K tokens~384 A4 pages of text
Max Output Tokens
Per single request
66K66K
Throughput Speed
Tokens generated per second
110 tok/s120 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

Quem vence em cada 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

Pontuações de Benchmarks Verificadas

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

Latência e Tempo de Resposta

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

Simulador Interativo de Custo de Tokens

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)
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

  • Janela de contexto de 1M com limite máximo de saída de 66K tokens (SWE-bench Verified 71.4% · GPQA Diamond 73.5%)
  • Taxa de transferência rápida de 110 tokens/segundo com latência inicial (TTFT) de 650 ms
  • Economia de API competitiva ($1.25/$2.5 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Grok Build 0.1 · Strengths & Key Advantages

  • Janela de contexto de 256K com limite máximo de saída de 66K tokens (SWE-bench Verified 69.8% · GPQA Diamond 68.2%)
  • Taxa de transferência rápida de 120 tokens/segundo com latência inicial (TTFT) de 550 ms
  • Economia de API competitiva ($1/$2 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

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

MetricGrok 4.3Grok Build 0.1
Cost per Task
Estimated USD to finish one task
$1.35$0.95
Output Tokens / Task
Tokens generated per task
46K42K
Reasoning Tokens / Task
Thinking tokens burned per task
22K18K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureGrok 4.3Grok Build 0.1
Official API Model ID (SDK)grok-4-3-latestgrok-build-0-1-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2026-042026-04
Knowledge CutoffJanuary 2026January 2026
ArchitectureColossus-Scale Mixture-of-ExpertsCode-Specialized Autoregressive Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM5,000 – 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 windowFlat rate ($1/1M in) across full 256K window
Prompt Cache Policy & TTLCached input at $0.31/1M tokensCached input at $0.25/1M tokens
Computer Use / GUI AgentAPI / 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 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 & SandboxReal-time Web & X (Twitter) Search Grounding + Code ExecutionReal-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
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 ClassificationxAI Production Safety & Alignment VerifiedxAI Production Safety & Alignment Verified
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

Grok 4.3 vs Grok Build 0.1: Respostas Rápidas (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.

Veredito

Tanto Grok 4.3 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Grok Build 0.1 (Indicado para engenharia de software autônoma, refatoração de código e depuração avançada, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Grok 4.3 lidera em inteligência geral e programação, Grok Build 0.1 oferece geração mais rápida e Grok Build 0.1 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Grok 4.3 ou Grok Build 0.1?+

Nas avaliações de inteligência e código, Grok 4.3 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Grok 4.3 ou Grok Build 0.1?+

O Grok 4.3 custa $1.25 / $2.50 por 1M de tokens (entrada/saída) e o Grok Build 0.1 custa $1.00 / $2.00. No custo combinado, Grok Build 0.1 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Grok 4.3 suporta 1M tokens de contexto contra 256K tokens do Grok Build 0.1, enquanto Grok Build 0.1 entrega maior velocidade de geração.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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.

Fontes oficiais: Documentação oficial de API da xAI e xAI e benchmarks independentes (2026).