All Models/GPT-4o mini
Benchmark:58.3
Speed:Fast
Training Cutoff:2023-10

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$0.1500
📤
Output / 1M
$0.6000
⚡
Cache Price / 1M
$0.0750
📏
Context Window
128K
128,000 tokens
📝
Max Output
16K
16,384 tokens
🎯
Benchmark & Speed
58.3
Speed:Fast

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$0.0015
Output Cost$0.0018
Cache Cost$0.0008
Total$0.0040
Saved: $0.0008

Calculation Details

INPUT
(1,024 / 1M) × $0.15 + 10req × (976 / 1M) × $0.15 = $0.0015
OUTPUT
10req × (300 / 1M) × $0.6 = $0.0018
CACHE
Read: 9req × (1,024 / 1M) × $0.075 = $0.0008

Alternative Models

Models with comparable benchmark score and pricing tier
ModelProviderContext WindowMax OutputTraining CutoffInput / 1MCache Price / 1MOutput / 1MBenchmarkSpeedTotal
xAI
2M--$0.20$0.05$0.5073.25Blazing Fast$0.0040
xAI
2M--$0.20$0.05$0.5073.25Fast$0.0040
OpenAI
400K128K2024-05$0.05$0.005$0.4059.75Blazing Fast$0.0017
OpenAI
1M32K2024-06$0.10$0.025$0.4059.25Blazing Fast$0.0024
xAI
131K--$0.30$0.07$0.5058.75Fast$0.0051

Provider

xAI

Benchmark

73.25

Speed

Blazing Fast

Training Cutoff

-

Context Window

2M

Max Output

-

Input / 1M

$0.20

Cache Price / 1M

$0.05

Output / 1M

$0.50

Total(試算)
In: $0.0020 / Out: $0.0015
$0.0040

Provider

xAI

Benchmark

73.25

Speed

Fast

Training Cutoff

-

Context Window

2M

Max Output

-

Input / 1M

$0.20

Cache Price / 1M

$0.05

Output / 1M

$0.50

Total(試算)
In: $0.0020 / Out: $0.0015
$0.0040

Provider

OpenAI

Benchmark

59.75

Speed

Blazing Fast

Training Cutoff

2024-05

Context Window

400K

Max Output

128K

Input / 1M

$0.05

Cache Price / 1M

$0.005

Output / 1M

$0.40

Total(試算)
In: $0.0005 / Out: $0.0012
$0.0017

Provider

OpenAI

Benchmark

59.25

Speed

Blazing Fast

Training Cutoff

2024-06

Context Window

1M

Max Output

32K

Input / 1M

$0.10

Cache Price / 1M

$0.025

Output / 1M

$0.40

Total(試算)
In: $0.0010 / Out: $0.0012
$0.0024

Provider

xAI

Benchmark

58.75

Speed

Fast

Training Cutoff

-

Context Window

131K

Max Output

-

Input / 1M

$0.30

Cache Price / 1M

$0.07

Output / 1M

$0.50

Total(試算)
In: $0.0029 / Out: $0.0015
$0.0051
⚡ 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.

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GPT-4o mini Frequently Asked Questions (FAQ)

Key insights into GPT-4o mini API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for GPT-4o mini? How much does it cost per 1M tokens?+

GPT-4o mini (OpenAI) is priced at $0.1500 per 1 million input tokens and $0.6000 per 1 million output tokens. The output rate is approximately 4.0x 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 GPT-4o mini?+

GPT-4o mini features a 128K context window and a maximum output limit of 16K tokens per request. It provides sufficient capacity for standard chat interactions and structured data processing.

Q. Does GPT-4o mini support Prompt Caching, and how much cost can be saved?+

Yes, GPT-4o mini supports prompt caching. Cached reads cost $0.0750 per 1M tokens, delivering an estimated 50% discount compared to standard input rates. (Minimum cache threshold: 1K) Caching reusable system instructions and documentation substantially lowers recurring API expenses.

Q. What is the benchmark score (58.25) and performance profile of GPT-4o mini?+

GPT-4o mini achieves an overall benchmark score of 58.25/100 with a "Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.

Q. Which alternative models are comparable to GPT-4o mini?+

Key alternatives in similar price-to-performance tiers include grok-4-1-fast-non-reasoning, grok-4-fast-non-reasoning, GPT-5-nano. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.