Head-to-Head Model Comparison

Grok 3 Mini vs Claude 3.7 Sonnet

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

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Grok 3 MiniProfile

Claude 3.7 SonnetProfile

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xAI

Grok 3 Mini

Motor de Raciocínio Profundo

O Grok 3 Mini 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 131K, velocidade de 90 tokens/s, índice de inteligência de 47/100 e t

Intelligence Index47 / 100

Input Token:

$0.30 / 1M

Output Token:

$1.20 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

56.4%

Anthropic

Claude 3.7 Sonnet

Líder em Programação e Código

O Claude 3.7 Sonnet da Anthropic é um modelo de IA projetado para engenharia de software autônoma, refatoração de código e depuração avançada, oferecendo janela de contexto de 200K, velocidade de 72 tokens/s, índice de inteligência de 48/10

Intelligence Index48 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

70.3%

Principais Diferenças em Resumo

Grok 3 Mini is 11.2x cheaper for API usage (input + output tokens combined).
Claude 3.7 Sonnet has a larger context window (200K vs 131K tokens).
Grok 3 Mini is faster at 90 tok/s vs 72 tok/s.
Claude 3.7 Sonnet leads on SWE-bench coding (70.3% vs 56.4%).

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

Feature	Grok 3 Mini	Claude 3.7 Sonnet
Intelligence Index Composite reasoning & knowledge score (0-100)	47	48
Provider	xAI	Anthropic
Input Price Cost per million input tokens	$0.30 / 1M	$3.00 / 1M
Output Price Cost per million output tokens	$1.20 / 1M	$15.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.23 / 1M	$2.31 / 1M
Context Window Maximum input + output tokens	131.1K tokens~197 A4 pages of text	200K tokens~300 A4 pages of text
Max Output Tokens Per single request	16K	64K
Throughput Speed Tokens generated per second	90 tok/s	72 tok/s
SWE-bench Verified Real-world software engineering	56.4%	70.3%
GPQA Diamond Graduate-level reasoning	68.4%	65%
Cached Input Price Prompt caching discount per 1M tokens	$0.07 / 1M	$0.30 / 1M

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Claude 3.7 Sonnet

+13.9% SWE-bench lead

Cost

Grok 3 Mini

11.2x cheaper monthly runtime

Speed

Grok 3 Mini

+25% faster generation

Context

Claude 3.7 Sonnet

200K tokens window

Pontuações de Benchmarks Verificadas

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

Grok 3 MiniClaude 3.7 Sonnet

SWE-bench Verified (Autonomous Coding)

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

56.4%vs70.3%

GPQA Diamond (Doctorate-Level Science & Math)

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

68.4%vs65%

MMLU-Pro (Multi-task Language Understanding)

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

77.5%vs78.2%

LMSYS Chatbot Arena Elo

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

1324ptsvs1335pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

10.5%vs8.9%

Terminal-Bench (Agentic Coding & Terminal Use)

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

33.8%vs35.2%

SciCode (Scientific Computing)

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

38.5%vs40.1%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

62.1%vs64.8%

AIME (Advanced Math Competition)

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

74.2%vs61.3%

Long-Context Reasoning

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

69.4%vs71.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs72 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 3 Mini0.51s

Claude 3.7 Sonnet0.52s

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

Grok 3 Mini6.07s

Claude 3.7 Sonnet7.46s

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 3 Mini Monthly API Bill

$1.64 / month

$0.3/1M in · $1.2/1M out

Claude 3.7 Sonnet Monthly API Bill

$18.45 / month

$3/1M in · $15/1M out

Grok 3 Mini saves approximately $16.81 / month (91%) under this workload.11.2x Savings

Grok 3 Mini · Strengths & Key Advantages

Janela de contexto de 131K com limite máximo de saída de 16K tokens (SWE-bench Verified 56.4% · GPQA Diamond 68.4%)
Taxa de transferência rápida de 90 tokens/segundo com latência inicial (TTFT) de 510 ms
Economia de API competitiva ($0.3/$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

Claude 3.7 Sonnet · Strengths & Key Advantages

Janela de contexto de 200K com limite máximo de saída de 64K tokens (SWE-bench Verified 70.3% · GPQA Diamond 65%)
Taxa de transferência rápida de 72 tokens/segundo com latência inicial (TTFT) de 520 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 3 Mini	Claude 3.7 Sonnet
Cost per Task Estimated USD to finish one task	$0.32	$1.42
Output Tokens / Task Tokens generated per task	26K	41K
Reasoning Tokens / Task Thinking tokens burned per task	18K	22K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	Grok 3 Mini	Claude 3.7 Sonnet
Official API Model ID (SDK)	grok-3-mini-latest	claude-3-7-sonnet-20250201
API Protocol	xAI REST API (OpenAI-Compatible)	Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date	2025-02	2025-02
Knowledge Cutoff	November 2024	November 2024
Architecture	Reasoning Optimized Hybrid Transformer	Hybrid Reasoning MoE
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.3/1M in) across full 131K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.075/1M tokens	$0.3/1M cached read (90% off); 5-min default & 1-hour extended TTL
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 Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Custom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	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	Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated
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	text, vision
Output Modalities	text	text

Grok 3 Mini vs Claude 3.7 Sonnet: Respostas Rápidas (FAQ)

Which is more intelligent, Grok 3 Mini or Claude 3.7 Sonnet?

Claude 3.7 Sonnet is more intelligent. It scores 48 compared with 47 on the composite Intelligence Index.

Which model is faster?

Grok 3 Mini is faster, generating 90 tokens per second compared with 72 tokens per second.

Which model is cheaper to run?

Grok 3 Mini is cheaper at $0.23 per 1M tokens blended, compared with $2.31 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok 3 Mini has lower latency, with a time to first token of 0.51s compared with 0.52s.

Which model has a larger context window?

Claude 3.7 Sonnet has a larger context window, supporting 200K tokens compared with 131.1K tokens.

Veredito

Tanto Grok 3 Mini (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) quanto Claude 3.7 Sonnet (Indicado para engenharia de software autônoma, refatoração de código e depuração avançada, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Claude 3.7 Sonnet lidera em inteligência geral e programação, Grok 3 Mini oferece geração mais rápida e Grok 3 Mini apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Grok 3 Mini ou Claude 3.7 Sonnet?+

Nas avaliações de inteligência e código, Claude 3.7 Sonnet leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Grok 3 Mini ou Claude 3.7 Sonnet?+

O Grok 3 Mini custa $0.30 / $1.20 por 1M de tokens (entrada/saída) e o Claude 3.7 Sonnet custa $3.00 / $15.00. No custo combinado, Grok 3 Mini é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Grok 3 Mini suporta 131.1K tokens de contexto contra 200K tokens do Claude 3.7 Sonnet, enquanto Grok 3 Mini 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 3 Mini vs Claude 3.7 Sonnet

Troque e Compare Qualquer Modelo

Grok 3 Mini

Claude 3.7 Sonnet

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Grok 3 Mini · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3.7 Sonnet · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Grok 3 Mini vs Claude 3.7 Sonnet: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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