Head-to-Head Model Comparison

Grok 4.1 vs Grok-3

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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Grok 4.1Profile

Grok-3Profile

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xAI

Grok 4.1

Modelo Principal de Fronteira

O Grok 4.1 da xAI é um modelo de IA projetado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, oferecendo janela de contexto de 2M, velocidade de 142 tokens/s, índice de inteligência de 51/100 e tarifa de

Intelligence Index51 / 100

Input Token:

$0.20 / 1M

Output Token:

$1.00 / 1M

Context Window:

2M tokens

SWE-bench Verified:

66.4%

xAI

Grok-3

Motor de Raciocínio Profundo

O Grok-3 da xAI é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 1M, velocidade de 95 tokens/s, índice de inteligência de 54/100 e tarifa d

Intelligence Index54 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

65.2%

Principais Diferenças em Resumo

Grok 4.1 is 15.0x cheaper for API usage (input + output tokens combined).
Grok 4.1 has a larger context window (2M vs 1M tokens).
Grok 4.1 is faster at 142 tok/s vs 95 tok/s.
Grok 4.1 leads on SWE-bench coding (66.4% vs 65.2%).

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

Feature	Grok 4.1	Grok-3
Intelligence Index Composite reasoning & knowledge score (0-100)	51	54
Provider	xAI	xAI
Input Price Cost per million input tokens	$0.20 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$1.00 / 1M	$15.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.17 / 1M	$2.63 / 1M
Context Window Maximum input + output tokens	2M tokens~3,000 A4 pages of text	1M tokens~1,500 A4 pages of text
Max Output Tokens Per single request	66K	33K
Throughput Speed Tokens generated per second	142 tok/s	95 tok/s
SWE-bench Verified Real-world software engineering	66.4%	65.2%
GPQA Diamond Graduate-level reasoning	63.8%	74%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.75 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Grok 4.1

+1.2% SWE-bench lead

Cost

Grok 4.1

15.0x cheaper monthly runtime

Speed

Grok 4.1

+49% faster generation

Context

Grok 4.1

2M tokens window

Pontuações de Benchmarks Verificadas

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

Grok 4.1Grok-3

SWE-bench Verified (Autonomous Coding)

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

66.4%vs65.2%

GPQA Diamond (Doctorate-Level Science & Math)

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

63.8%vs74%

MMLU-Pro (Multi-task Language Understanding)

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

80.1%vs88.5%

LMSYS Chatbot Arena Elo

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

1298ptsvs1342pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

8.2%vs10.2%

Terminal-Bench (Agentic Coding & Terminal Use)

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

38.5%vs41%

SciCode (Scientific Computing)

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

37.4%vs42.5%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

64.9%vs70.8%

AIME (Advanced Math Competition)

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

79.3%vs82.5%

Long-Context Reasoning

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

76.2%vs78.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

142 tok/s vs95 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 4.11.50s

Grok-31.10s

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

Grok 4.15.02s

Grok-36.36s

Simulador Interativo de Custo de Tokens

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

Grok-3 Monthly API Bill

$19.13 / month

$3/1M in · $15/1M out

Grok 4.1 saves approximately $17.85 / month (93%) under this workload.15.0x Savings

Grok 4.1 · Strengths & Key Advantages

Janela de contexto de 2M com limite máximo de saída de 66K tokens (SWE-bench Verified 66.4% · GPQA Diamond 63.8%)
Taxa de transferência rápida de 142 tokens/segundo com latência inicial (TTFT) de 1500 ms
Economia de API competitiva ($0.2/$1 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-3 · Strengths & Key Advantages

Janela de contexto de 1M com limite máximo de saída de 33K tokens (SWE-bench Verified 65.2% · GPQA Diamond 74%)
Taxa de transferência rápida de 95 tokens/segundo com latência inicial (TTFT) de 1100 ms
Economia de API competitiva ($3/$15 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
Para alto volume de requisições, recomenda-se ativar o cache de prompts e a Batch API para reduzir custos

Token Use & Task Economics

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

Metric	Grok 4.1	Grok-3
Cost per Task Estimated USD to finish one task	$0.28	$0.20
Output Tokens / Task Tokens generated per task	40K	24K
Reasoning Tokens / Task Thinking tokens burned per task	21K	15K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	Grok 4.1	Grok-3
Official API Model ID (SDK)	grok-4-1-latest	grok-3-latest
API Protocol	xAI REST API (OpenAI-Compatible)	xAI REST API (OpenAI-Compatible)
Release Date	2025-11	2025-02
Knowledge Cutoff	2025	Late 2024
Architecture	Sparse MoE	Hybrid Reasoning Deep MoE
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) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.2/1M in) across full 2000K window	Flat rate ($3/1M in) across full 1000K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Cached input at $0.75/1M 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 4.1 vs Grok-3: Respostas Rápidas (FAQ)

Which is more intelligent, Grok 4.1 or Grok-3?

Grok-3 is more intelligent. It scores 54 compared with 51 on the composite Intelligence Index.

Which model is faster?

Grok 4.1 is faster, generating 142 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Grok 4.1 is cheaper at $0.17 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok-3 has lower latency, with a time to first token of 1.10s compared with 1.50s.

Which model has a larger context window?

Grok 4.1 has a larger context window, supporting 2M tokens compared with 1M tokens.

Veredito

Tanto Grok 4.1 (Indicado para raciocínio corporativo de fronteira, programação avançada e cargas de produção, arquiteturas RAG corporativas e integração escalável via API.) quanto Grok-3 (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Grok-3 lidera em inteligência geral e programação, Grok 4.1 oferece geração mais rápida e Grok 4.1 apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Grok 4.1 ou Grok-3?+

Nas avaliações de inteligência e código, Grok-3 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Grok 4.1 ou Grok-3?+

O Grok 4.1 custa $0.20 / $1.00 por 1M de tokens (entrada/saída) e o Grok-3 custa $3.00 / $15.00. No custo combinado, Grok 4.1 é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Grok 4.1 suporta 2M tokens de contexto contra 1M tokens do Grok-3, enquanto Grok 4.1 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.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Grok 4.1 vs Grok-3

Troque e Compare Qualquer Modelo

Grok 4.1

Grok-3

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Grok 4.1 · Strengths & Key Advantages

Considerations & Trade-offs

Grok-3 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Grok 4.1 vs Grok-3: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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