Head-to-Head Model Comparison

Grok Build 0.1 vs Grok 4.20 (Reasoning)

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 Build 0.1 vs Grok 4.20 (Reasoning): Benchmarks, Pricing & Speed Comparison

Grok Build 0.1 di xAI e Grok 4.20 (Reasoning) di xAI sono due modelli di IA di riferimento. Grok Build 0.1 offre una finestra di contesto di 256K token a $1.00/$2.00 per milione di token, mentre Grok 4.20 (Reasoning) mette a disposizione 1M token di contesto a $3.00/$15.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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xAI

Grok Build 0.1

Leader in Programmazione e Codice

Grok Build 0.1 di xAI 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 256K, velocità di 120 token/s, indice di intelligenza di 65/100 e tariffa

Intelligence Index65 / 100
Input Token:

$1.00 / 1M

Output Token:

$2.00 / 1M

Context Window:

256K tokens

SWE-bench Verified:

69.8%

xAI

Grok 4.20 (Reasoning)

Motore di Ragionamento Profondo

Grok 4.20 (Reasoning) 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 68/100 e tarif

Intelligence Index68 / 100
Input Token:

$3.00 / 1M

Output Token:

$15.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

68.2%

Differenze Chiave a Colpo d’Occhio

  • Grok Build 0.1 is 5.2x cheaper for API usage (input + output tokens combined).
  • Grok 4.20 (Reasoning) has a larger context window (1M vs 256K tokens).
  • Grok Build 0.1 is faster at 120 tok/s vs 95 tok/s.
  • Grok Build 0.1 leads on SWE-bench coding (69.8% vs 68.2%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureGrok Build 0.1Grok 4.20 (Reasoning)
Intelligence Index
Composite reasoning & knowledge score (0-100)
6568
Provider
xAIxAI
Input Price
Cost per million input tokens
$1.00 / 1M$3.00 / 1M
Output Price
Cost per million output tokens
$2.00 / 1M$15.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.57 / 1M$2.63 / 1M
Context Window
Maximum input + output tokens
256K tokens~384 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
66K66K
Throughput Speed
Tokens generated per second
120 tok/s95 tok/s
SWE-bench Verified
Real-world software engineering
69.8%68.2%
GPQA Diamond
Graduate-level reasoning
68.2%72.8%
Cached Input Price
Prompt caching discount per 1M tokens
$0.25 / 1M$0.75 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding
Grok Build 0.1
+1.6% SWE-bench lead
Cost
Grok Build 0.1
5.2x cheaper monthly runtime
Speed
Grok Build 0.1
+26% faster generation
Context
Grok 4.20 (Reasoning)
1M tokens window

Punteggi Benchmark Verificati

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

Grok Build 0.1Grok 4.20 (Reasoning)
SWE-bench Verified (Autonomous Coding)

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

69.8%vs68.2%
GPQA Diamond (Doctorate-Level Science & Math)

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

68.2%vs72.8%
MMLU-Pro (Multi-task Language Understanding)

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

82.5%vs84.1%
LMSYS Chatbot Arena Elo

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

1375ptsvs1395pts
Humanity's Last Exam (Frontier Expert Knowledge)

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

10.5%vs11.8%
Terminal-Bench (Agentic Coding & Terminal Use)

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

46.2%vs44.5%
SciCode (Scientific Computing)

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

42%vs41.2%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

68.5%vs66.5%
AIME (Advanced Math Competition)

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

82.1%vs86.4%
Long-Context Reasoning

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

80.4%vs89.2%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

120 tok/s vs95 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 Build 0.10.55s
Grok 4.20 (Reasoning)0.98s
Est. End-to-End Response (500 tokens)TTFT + generation time
Grok Build 0.14.72s
Grok 4.20 (Reasoning)6.24s

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 Build 0.1 Monthly API Bill
$3.67 / month
$1/1M in · $2/1M out
Grok 4.20 (Reasoning) Monthly API Bill
$19.13 / month
$3/1M in · $15/1M out
Grok Build 0.1 saves approximately $15.45 / month (81%) under this workload.5.2x Savings

Grok Build 0.1 · Strengths & Key Advantages

  • Finestra di contesto da 256K con capacità massima di output fino a 66K token (SWE-bench Verified 69.8% · GPQA Diamond 68.2%)
  • Throughput elevato di 120 token/secondo con latenza al primo token (TTFT) di soli 550 ms
  • Economia API competitiva ($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

Grok 4.20 (Reasoning) · Strengths & Key Advantages

  • Finestra di contesto da 1M con capacità massima di output fino a 66K token (SWE-bench Verified 68.2% · GPQA Diamond 72.8%)
  • Throughput elevato di 95 token/secondo con latenza al primo token (TTFT) di soli 980 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.

MetricGrok Build 0.1Grok 4.20 (Reasoning)
Cost per Task
Estimated USD to finish one task
$0.95$1.45
Output Tokens / Task
Tokens generated per task
42K45K
Reasoning Tokens / Task
Thinking tokens burned per task
18K28K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureGrok Build 0.1Grok 4.20 (Reasoning)
Official API Model ID (SDK)grok-build-0-1-latestgrok-4-20-reasoning-latest
API ProtocolxAI REST API (OpenAI-Compatible)xAI REST API (OpenAI-Compatible)
Release Date2026-042026-03
Knowledge CutoffJanuary 2026November 2025
ArchitectureCode-Specialized Autoregressive TransformerColossus-Scale Reasoning Sparse MoE
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($1/1M in) across full 256K windowFlat rate ($3/1M in) across full 1000K window
Prompt Cache Policy & TTLCached input at $0.25/1M tokensCached input at $0.75/1M 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) · Vision (~258–765 tokens per image tile)
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, vision
Output Modalitiestexttext

Grok Build 0.1 vs Grok 4.20 (Reasoning): Risposte Rapide (FAQ)

Which is more intelligent, Grok Build 0.1 or Grok 4.20 (Reasoning)?

Grok 4.20 (Reasoning) is more intelligent. It scores 68 compared with 65 on the composite Intelligence Index.

Which model is faster?

Grok Build 0.1 is faster, generating 120 tokens per second compared with 95 tokens per second.

Which model is cheaper to run?

Grok Build 0.1 is cheaper at $0.57 per 1M tokens blended, compared with $2.63 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Grok Build 0.1 has lower latency, with a time to first token of 0.55s compared with 0.98s.

Which model has a larger context window?

Grok 4.20 (Reasoning) has a larger context window, supporting 1M tokens compared with 256K tokens.

Verdetto

Sia Grok Build 0.1 (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) sia Grok 4.20 (Reasoning) (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Grok 4.20 (Reasoning) guida nei benchmark di ragionamento e programmazione, Grok Build 0.1 garantisce una generazione più rapida e Grok Build 0.1 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Grok Build 0.1 o Grok 4.20 (Reasoning)?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Grok 4.20 (Reasoning). Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Grok Build 0.1 e Grok 4.20 (Reasoning)?+

Grok Build 0.1 costa $1.00 / $2.00 per milione di token di input/output, mentre Grok 4.20 (Reasoning) costa $3.00 / $15.00. Nel costo combinato, Grok Build 0.1 risulta più economico.

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

Grok Build 0.1 supporta 256K token di contesto contro 1M token di Grok 4.20 (Reasoning), mentre Grok Build 0.1 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.

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).