All Models/grok-3
Benchmark:69.3
Speed:Standard

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$3.0000
📤
Output / 1M
$15.0000
⚡
Cache Price / 1M
$0.7500
📏
Context Window
131K
131,072 tokens
📝
Max Output
-
-
🎯
Benchmark & Speed
69.3
Speed:Standard

Cost Calculator

Simulate estimated API usage cost based on your specific traffic and context size

Calculation Settings

Pricing Tier
▶ Detailed Settings
▶ Presets

Simulation Results

Input Cost$0.0293
Output Cost$0.045
Cache Cost$0.0077
Total$0.0820
Saved: $0.0230

Calculation Details

INPUT
(1,024 / 1M) × $3 + 10req × (976 / 1M) × $3 = $0.0293
OUTPUT
10req × (300 / 1M) × $15 = $0.045
CACHE
Read: 9req × (1,024 / 1M) × $0.75 = $0.0077

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
Anthropic
1M64K2026-01$3.00$0.30$15.0090.75Fast$0.0809
Anthropic
1M64K2025-07$3.00$0.30$15.0082Fast$0.0809
xAI
256K--$3.00$0.75$15.0079Standard$0.0820
Anthropic
1M64K2025-03$3.00$0.30$15.0068.5Fast$0.0809
OpenAI
128K16K2023-10$2.50$1.25$10.0068.5Fast$0.0672

Provider

Anthropic

Benchmark

90.75

Speed

Fast

Training Cutoff

2026-01

Context Window

1M

Max Output

64K

Input / 1M

$3.00

Cache Price / 1M

$0.30

Output / 1M

$15.00

Total(試算)
In: $0.0293 / Out: $0.045
$0.0809

Provider

Anthropic

Benchmark

82

Speed

Fast

Training Cutoff

2025-07

Context Window

1M

Max Output

64K

Input / 1M

$3.00

Cache Price / 1M

$0.30

Output / 1M

$15.00

Total(試算)
In: $0.0293 / Out: $0.045
$0.0809

Provider

xAI

Benchmark

79

Speed

Standard

Training Cutoff

-

Context Window

256K

Max Output

-

Input / 1M

$3.00

Cache Price / 1M

$0.75

Output / 1M

$15.00

Total(試算)
In: $0.0293 / Out: $0.045
$0.0820

Provider

Anthropic

Benchmark

68.5

Speed

Fast

Training Cutoff

2025-03

Context Window

1M

Max Output

64K

Input / 1M

$3.00

Cache Price / 1M

$0.30

Output / 1M

$15.00

Total(試算)
In: $0.0293 / Out: $0.045
$0.0809

Provider

OpenAI

Benchmark

68.5

Speed

Fast

Training Cutoff

2023-10

Context Window

128K

Max Output

16K

Input / 1M

$2.50

Cache Price / 1M

$1.25

Output / 1M

$10.00

Total(試算)
In: $0.0244 / Out: $0.0300
$0.0672
⚡ Main Feature

All AI Models Pricing & Cost Simulator

Compare cutting-edge models from OpenAI, Anthropic, Google, and DeepSeek. Accurately simulate real-world API costs with prompt caching and custom context length.

Open Comparison Tool

grok-3 Frequently Asked Questions (FAQ)

Key insights into grok-3 API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for grok-3? How much does it cost per 1M tokens?+

grok-3 (xAI) is priced at $3.0000 per 1 million input tokens and $15.0000 per 1 million output tokens. The output rate is approximately 5.0x higher than the input rate. You can simulate your exact monthly API expenses tailored to your request volume and token length using the calculator above.

Q. What are the context window and maximum output limits of grok-3?+

grok-3 features a 131K context window and a maximum output limit of - tokens per request. It provides sufficient capacity for standard chat interactions and structured data processing.

Q. Does grok-3 support Prompt Caching, and how much cost can be saved?+

Yes, grok-3 supports prompt caching. Cached reads cost $0.7500 per 1M tokens, delivering an estimated 75% discount compared to standard input rates. Caching reusable system instructions and documentation substantially lowers recurring API expenses.

Q. What is the benchmark score (69.25) and performance profile of grok-3?+

grok-3 achieves an overall benchmark score of 69.25/100 with a "Standard" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.

Q. Which alternative models are comparable to grok-3?+

Key alternatives in similar price-to-performance tiers include Claude Sonnet 4.6, Claude Sonnet 4.5, grok-4-0709. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.