Head-to-Head Model Comparison

Grok-3 vs Grok 3 Mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Grok-3Profile

Grok 3 MiniProfile

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Popular Matchups:

xAI

Grok-3

Deep-Reasoning-Engine

Grok-3 von xAI ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 1M Kontextfenster, 95 Token/s Durchsatz, einem Intelligenz-Index von 54/100 und $3/$15 pro 1M Token.

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

Deep-Reasoning-Engine

Grok 3 Mini von xAI ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 131K Kontextfenster, 90 Token/s Durchsatz, einem Intelligenz-Index von 47/100 und $0.3/$1.2 pro 1M Token.

Intelligence Index47 / 100

Input Token:

$0.30 / 1M

Output Token:

$1.20 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

56.4%

Wichtigste Unterschiede auf einen Blick

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 →

Feature	Grok-3	Grok 3 Mini
Intelligence Index Composite reasoning & knowledge score (0-100)	54	47
Provider	xAI	xAI
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 text	131.1K tokens~197 A4 pages of text
Max Output Tokens Per single request	33K	16K
Throughput Speed Tokens generated per second	95 tok/s	90 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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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 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

1M Kontextfenster und bis zu 33K maximale Output-Token (SWE-bench Verified 65.2% · GPQA Diamond 74%)
Hohe Generierungsgeschwindigkeit von 95 Token/Sekunde bei nur 1100 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($3/$15 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Grok 3 Mini · Strengths & Key Advantages

131K Kontextfenster und bis zu 16K maximale Output-Token (SWE-bench Verified 56.4% · GPQA Diamond 68.4%)
Hohe Generierungsgeschwindigkeit von 90 Token/Sekunde bei nur 510 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.3/$1.2 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

Token Use & Task Economics

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

Metric	Grok-3	Grok 3 Mini
Cost per Task Estimated USD to finish one task	$0.20	$0.32
Output Tokens / Task Tokens generated per task	24K	26K
Reasoning Tokens / Task Thinking tokens burned per task	15K	18K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Grok-3	Grok 3 Mini
Official API Model ID (SDK)	grok-3-latest	grok-3-mini-latest
API Protocol	xAI REST API (OpenAI-Compatible)	xAI REST API (OpenAI-Compatible)
Release Date	2025-02	2025-02
Knowledge Cutoff	Late 2024	November 2024
Architecture	Hybrid Reasoning Deep MoE	Reasoning Optimized Hybrid Transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($3/1M in) across full 1000K window	Flat rate ($0.3/1M in) across full 131K window
Prompt Cache Policy & TTL	Cached input at $0.75/1M tokens	Cached input at $0.075/1M tokens
Computer Use / GUI Agent	API / 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 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	Real-time Web & X (Twitter) Search Grounding + Code Execution
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
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	xAI Production Safety & Alignment Verified
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, vision	text
Output Modalities	text	text

Grok-3 vs Grok 3 Mini: Schnelle Antworten (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.

Fazit

Sowohl Grok-3 (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Grok 3 Mini (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Grok-3 führt bei komplexem Reasoning und Coding, Grok-3 liefert den höheren Token-Durchsatz und Grok 3 Mini ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Grok-3 oder Grok 3 Mini?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Grok-3 vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Grok-3 und Grok 3 Mini?+

Grok-3 kostet $3.00 / $15.00 pro 1M Input-/Output-Tokens, Grok 3 Mini liegt bei $0.30 / $1.20. Beim gewichteten Gesamtpreis ist Grok 3 Mini günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Grok-3 bietet 1M Tokens Kontext gegenüber 131.1K Tokens bei Grok 3 Mini. Bei der Generierungsgeschwindigkeit liegt Grok-3 vorn.

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 vs Grok 3 Mini

Beliebige Modelle wechseln & vergleichen

Grok-3

Grok 3 Mini

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Grok-3 · Strengths & Key Advantages

Considerations & Trade-offs

Grok 3 Mini · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Grok-3 vs Grok 3 Mini: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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