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Head-to-Head Model Comparison

Grok-3 vs Grok 3 Mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Grok-3 vs Grok 3 Mini: Benchmarks, Pricing & Speed Comparison

Grok-3 di xAI e Grok 3 Mini di xAI sono due modelli di IA di riferimento. Grok-3 offre una finestra di contesto di 1M token a $3.00/$15.00 per milione di token, mentre Grok 3 Mini mette a disposizione 131.1K token di contesto a $0.30/$1.20 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Grok-3

Motore di Ragionamento Profondo

Grok-3 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 1M, velocità di 95 token/s, indice di intelligenza di 54/100 e tariffa di $3/$15 pe

Intelligence Index54 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

65.2%

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%

Differenze Chiave a Colpo d’Occhio

  • Grok 3 Mini is 11.6x cheaper for API usage (input + output tokens combined).
  • Grok-3 has a larger context window (1M vs 131K tokens).
  • Grok-3 is faster at 95 tok/s vs 90 tok/s.
  • Grok-3 leads on SWE-bench coding (65.2% vs 56.4%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok-3Grok 3 Mini
Intelligence Index
Composite reasoning & knowledge score (0-100)
5447
Provider
xAIxAI
Input Price
Cost per million input tokens
$3.00 / 1M$0.30 / 1M
Output Price
Cost per million output tokens
$15.00 / 1M$1.20 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$2.63 / 1M$0.23 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
33K16K
Throughput Speed
Tokens generated per second
95 tok/s90 tok/s
SWE-bench Verified
Real-world software engineering
65.2%56.4%
GPQA Diamond
Graduate-level reasoning
74%68.4%
Cached Input Price
Prompt caching discount per 1M tokens
$0.75 / 1M$0.07 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Grok-3
+8.8% SWE-bench lead
Cost
Grok 3 Mini
11.6x cheaper monthly runtime
Speed
Grok-3
+6% faster generation
Context
Grok-3
1M tokens window

Punteggi Benchmark Verificati

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

Grok-3Grok 3 Mini
SWE-bench Verified (Autonomous Coding)

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

65.2%vs56.4%
GPQA Diamond (Doctorate-Level Science & Math)

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

74%vs68.4%
MMLU-Pro (Multi-task Language Understanding)

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

88.5%vs77.5%
LMSYS Chatbot Arena Elo

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

1342ptsvs1324pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

10.2%vs10.5%
Terminal-Bench (Agentic Coding & Terminal Use)

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

41%vs33.8%
SciCode (Scientific Computing)

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

42.5%vs38.5%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

70.8%vs62.1%
AIME (Advanced Math Competition)

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

82.5%vs74.2%
Long-Context Reasoning

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

78.5%vs69.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

95 tok/s vs90 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-31.10s
Grok 3 Mini0.51s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok-36.36s
Grok 3 Mini6.07s

Simulatore Interattivo dei Costi Token

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-3 Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Grok 3 Mini Monthly API Bill
$1.64 / month
$0.3/1M in · $1.2/1M out
Grok 3 Mini saves approximately $17.48 / month (91%) under this workload.11.6x Savings

Grok-3 · Strengths & Key Advantages

  • Finestra di contesto da 1M con capacità massima di output fino a 33K token (SWE-bench Verified 65.2% · GPQA Diamond 74%)
  • Throughput elevato di 95 token/secondo con latenza al primo token (TTFT) di soli 1100 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

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

Token Use & Task Economics

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

MetricGrok-3Grok 3 Mini
Cost per Task
Estimated USD to finish one task
$0.20$0.32
Output Tokens / Task
Tokens generated per task
24K26K
Reasoning Tokens / Task
Thinking tokens burned per task
15K18K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureGrok-3Grok 3 Mini
Official API Model ID (SDK)grok-3-latestgrok-3-mini-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2025-022025-02
Knowledge CutoffLate 2024November 2024
ArchitectureHybrid Reasoning Deep MoEReasoning Optimized Hybrid 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 ($3/1M in) across full 1000K windowFlat rate ($0.3/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.75/1M tokensCached input at $0.075/1M 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)
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
Output Modalitiestexttext

Grok-3 vs Grok 3 Mini: Risposte Rapide (FAQ)

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

Grok-3 is more intelligent. It scores 54 compared with 47 on the composite Intelligence Index.

Which model is faster?

Grok-3 is faster, generating 95 tokens per second compared with 90 tokens per second.

Which model is cheaper to run?

Grok 3 Mini is cheaper at $0.23 per 1M tokens blended, compared with $2.63 (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 1.10s.

Which model has a larger context window?

Grok-3 has a larger context window, supporting 1M tokens compared with 131.1K tokens.

Verdetto

Sia Grok-3 (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Grok 3 Mini (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Grok-3 guida nei benchmark di ragionamento e programmazione, Grok-3 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 o Grok 3 Mini?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Grok-3. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Grok-3 e Grok 3 Mini?+

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

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

Grok-3 supporta 1M token di contesto contro 131.1K token di Grok 3 Mini, mentre Grok-3 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Fonti ufficiali: Documentazione API ufficiale di xAI e xAI, schede di sistema e benchmark indipendenti (2026).