Head-to-Head Model Comparison

Grok 3 Mini vs Claude 3.7 Sonnet

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Grok 3 MiniProfile

Claude 3.7 SonnetProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 3 Mini

Mesin Penalaran Mendalam

Grok 3 Mini dari xAI adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 131K, kecepatan 90 token/detik, indeks kecerdasan 47/100, serta tarif $0.3/$1.2

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

Pemimpin Pemrograman & Kode

Claude 3.7 Sonnet dari Anthropic adalah model AI yang dirancang untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, menghadirkan jendela konteks 200K, kecepatan 72 token/detik, indeks kecerdasan 48/100, se

Intelligence Index48 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

70.3%

Perbedaan Utama Sekilas

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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

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

Jendela konteks 131K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 56.4% · GPQA Diamond 68.4%)
Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 510 ms
Skema harga API kompetitif (tarif $0.3/$1.2 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Claude 3.7 Sonnet · Strengths & Key Advantages

Jendela konteks 200K dengan kapasitas output maksimum hingga 64K token (SWE-bench Verified 70.3% · GPQA Diamond 65%)
Kecepatan generasi tinggi 72 token/detik dengan latensi token pertama (TTFT) hanya 520 ms
Skema harga API kompetitif (tarif $3/$15 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik Grok 3 Mini (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Claude 3.7 Sonnet (Sangat cocok untuk rekayasa perangkat lunak otonom, refactoring multi-file, dan debugging mendalam, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Claude 3.7 Sonnet unggul dalam penalaran dan pemrograman, Grok 3 Mini memberikan kecepatan generasi token lebih tinggi, dan Grok 3 Mini lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Grok 3 Mini atau Claude 3.7 Sonnet?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Claude 3.7 Sonnet memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Grok 3 Mini vs Claude 3.7 Sonnet?+

Grok 3 Mini mengenakan biaya $0.30 / $1.20 per 1M token input/output, sedangkan Claude 3.7 Sonnet sebesar $3.00 / $15.00. Secara keseluruhan, Grok 3 Mini lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Grok 3 Mini mendukung konteks 131.1K token dibandingkan 200K token pada Claude 3.7 Sonnet, sementara Grok 3 Mini unggul dalam kecepatan output token per detik.

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

Ganti & Bandingkan Model Apa Saja

Grok 3 Mini

Claude 3.7 Sonnet

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Grok 3 Mini · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3.7 Sonnet · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Grok 3 Mini vs Claude 3.7 Sonnet: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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