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xAI Modelle

Entdecken Sie alle 3 Modelle von xAI mit detaillierten Preisen, Vor- und Nachteilen sowie Entwicklerempfehlungen.

3
Modelle
$0.200
Niedrigster Input
2M
Max. Kontext
2
Qualitätsstufen

Schnellempfehlungen

Bestes Preis-Leistungs-Verhältnis: Grok 4.1 Fast ($0.200/1M)
Beste Qualität: Grok 4.3

Grok 4.3

Flagship

General-purpose, max capability

Offizielle Preise

Wann verwenden: Best xAI model for general-purpose applications requiring real-time knowledge access.

Upgrade-Highlights

  • ◆1M context window — 8x increase over Grok 3's 128K
  • ◆Price: $1.25/$2.50 — 60% cheaper than Grok 3 ($3/$15)
  • ◆Real-time web + X (Twitter) search — unique live knowledge access
  • ◆Context caching: $0.20/M — 84% savings for repeated prefixes
  • ◆32K max output — 4x Grok 3's 8K for long-form generation
Input-Preis
$1.25
per 1M tokens
Output-Preis
$2.50
per 1M tokens
Cached Input
$0.200
per 1M tokens
Batch-Input
—
per 1M tokens
Kontextfenster: 1M
Max. Output: 32,000 tokens
Wissensstand: 2025-06
VisionFunktionsaufrufFeinabstimmungJSON-Modus

Vorteile

  • 1M context window at $1.25/M input
  • Most intelligent xAI model
  • Real-time web and X search

Nachteile

  • No batch API
  • No fine-tuning
  • Newer ecosystem

Leistung

Ausgabegeschwindigkeit~65 tok/s
Rate-Limit3,000 RPM

Multimodal

BildeingabeBildausgabeAudioeingabeAudioausgabe

Benchmarks

MMLU
87.5%
SWE-bench Verified
62.0%
GPQA
73.0%

Grok 4.1 Fast

Mid-tier

Cost-optimized production workloads

Offizielle Preise

Wann verwenden: Best for latency-sensitive production apps and long-document processing on a budget.

Upgrade-Highlights

  • ◆2M context window — largest among all mid-tier models
  • ◆$0.20/M input — 6x cheaper than Grok 4.3 for high-volume tasks
  • ◆Ultra-low latency — optimized for sub-500ms response times
  • ◆16K max output — 2x Grok 3's 8K for longer generations
  • ◆Context caching: $0.05/M — 75% savings for repeated prefixes
Input-Preis
$0.200
per 1M tokens
Output-Preis
$0.500
per 1M tokens
Cached Input
$0.050
per 1M tokens
Batch-Input
—
per 1M tokens
Kontextfenster: 2M
Max. Output: 16,000 tokens
Wissensstand: 2025-04
VisionFunktionsaufrufFeinabstimmungJSON-Modus

Vorteile

  • 2M context window — largest among mid-tier
  • Extremely fast response times
  • One of lowest rates for frontier APIs

Nachteile

  • Lower quality than Grok 4.3
  • No batch API
  • No fine-tuning

Leistung

Ausgabegeschwindigkeit~110 tok/s
Rate-Limit8,000 RPM

Multimodal

BildeingabeBildausgabeAudioeingabeAudioausgabe

Benchmarks

MMLU
83.0%
HumanEval
80.0%

Grok 3

Flagship

Real-time info, analysis

Offizielle Preise

Wann verwenden: When real-time X/Twitter data or very current knowledge is essential.

Upgrade-Highlights

  • ◆Real-time X/Twitter integration — unique live social media knowledge
  • ◆Knowledge cutoff: 2025-02 — one of the most current available
  • ◆Vision + function calling — full multimodal capability at launch
  • ◆No caching or batch API — upgrade to Grok 4.3 for caching support
  • ◆128K context — superseded by Grok 4.3's 1M for long-document tasks
Input-Preis
$3.00
per 1M tokens
Output-Preis
$15.00
per 1M tokens
Cached Input
—
per 1M tokens
Batch-Input
—
per 1M tokens
Kontextfenster: 131K
Max. Output: 8,192 tokens
Wissensstand: 2025-02
VisionFunktionsaufrufFeinabstimmungJSON-Modus

Vorteile

  • Very recent knowledge cutoff
  • Real-time X/Twitter integration
  • Vision + function calling

Nachteile

  • Expensive ($3/$15)
  • No caching or batch
  • No fine-tuning

Leistung

Ausgabegeschwindigkeit~55 tok/s
Rate-Limit2,000 RPM

Multimodal

BildeingabeBildausgabeAudioeingabeAudioausgabe

Benchmarks

MMLU
85.0%
GPQA
68.0%
MATH
70.0%

Nebeneinander-Vergleich

ModellStufeInputOutputKontext
Grok 4.3Flagship$1.25$2.501M
Grok 4.1 FastMid-tier$0.200$0.5002M
Grok 3Flagship$3.00$15.00131K