Head-to-Head Model Comparison

Grok 3 Mini vs Claude 3.7 Sonnet

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 3 MiniProfile

Claude 3.7 SonnetProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

xAI

Grok 3 Mini

Motore di Ragionamento Profondo

Grok 3 Mini di xAI è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 131K, velocità di 90 token/s, indice di intelligenza di 47/100 e tariffa di $0

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

Leader in Programmazione e Codice

Claude 3.7 Sonnet di Anthropic 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 200K, velocità di 72 token/s, indice di intelligenza di 48/100 e

Intelligence Index48 / 100

Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

200K tokens

SWE-bench Verified:

70.3%

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni 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

Punteggi Benchmark Verificati

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

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 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

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 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

Finestra di contesto da 131K con capacità massima di output fino a 16K token (SWE-bench Verified 56.4% · GPQA Diamond 68.4%)
Throughput elevato di 90 token/secondo con latenza al primo token (TTFT) di soli 510 ms
Economia API competitiva ($0.3/$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

Claude 3.7 Sonnet · Strengths & Key Advantages

Finestra di contesto da 200K con capacità massima di output fino a 64K token (SWE-bench Verified 70.3% · GPQA Diamond 65%)
Throughput elevato di 72 token/secondo con latenza al primo token (TTFT) di soli 520 ms
Economia API competitiva ($3/$15 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
Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Grok 3 Mini (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Claude 3.7 Sonnet (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: Claude 3.7 Sonnet guida nei benchmark di ragionamento e programmazione, Grok 3 Mini garantisce una generazione più rapida e Grok 3 Mini offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Grok 3 Mini o Claude 3.7 Sonnet?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Claude 3.7 Sonnet. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Grok 3 Mini e Claude 3.7 Sonnet?+

Grok 3 Mini costa $0.30 / $1.20 per milione di token di input/output, mentre Claude 3.7 Sonnet costa $3.00 / $15.00. Nel costo combinato, Grok 3 Mini risulta più economico.

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

Grok 3 Mini supporta 131.1K token di contesto contro 200K token di Claude 3.7 Sonnet, mentre Grok 3 Mini 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 3 Mini vs Claude 3.7 Sonnet

Cambia e Confronta Qualsiasi Modello

Grok 3 Mini

Claude 3.7 Sonnet

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Grok 3 Mini · Strengths & Key Advantages

Considerations & Trade-offs

Claude 3.7 Sonnet · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Grok 3 Mini vs Claude 3.7 Sonnet: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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