All Models/GPT-5-nano
Benchmark:59.8
Speed:Blazing Fast
Training Cutoff:2024-05

Specs & Pricing

API pricing per 1M tokens and core technical specifications
📥
Input / 1M
$0.0500
📤
Output / 1M
$0.4000
⚡
Cache Price / 1M
$0.0050
📏
Context Window
400K
400,000 tokens
📝
Max Output
128K
128,000 tokens
🎯
Benchmark & Speed
59.8
Speed:Blazing 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$0.0005
Output Cost$0.0012
Cache Cost$0.00
Total$0.0017
Saved: $0.0005

Calculation Details

INPUT
(1,024 / 1M) × $0.05 + 10req × (976 / 1M) × $0.05 = $0.0005
OUTPUT
10req × (300 / 1M) × $0.4 = $0.0012
CACHE
Read: 9req × (1,024 / 1M) × $0.005 = $0.00

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
Google
1M65K2025-01$0.10$0.01$0.4071.5Blazing Fast$0.0032
OpenAI
1M32K2024-06$0.10$0.025$0.4059.25Blazing Fast$0.0024
OpenAI
128K16K2023-10$0.15$0.075$0.6058.25Fast$0.0040

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

Google

Benchmark

71.5

Speed

Blazing Fast

Training Cutoff

2025-01

Context Window

1M

Max Output

65K

Input / 1M

$0.10

Cache Price / 1M

$0.01

Output / 1M

$0.40

Total(試算)
In: $0.002 / Out: $0.0012
$0.0032

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

OpenAI

Benchmark

58.25

Speed

Fast

Training Cutoff

2023-10

Context Window

128K

Max Output

16K

Input / 1M

$0.15

Cache Price / 1M

$0.075

Output / 1M

$0.60

Total(試算)
In: $0.0015 / Out: $0.0018
$0.0040
⚡ Main Feature

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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-5-nano Frequently Asked Questions (FAQ)

Key insights into GPT-5-nano API pricing, context capacity, caching savings, and performance benchmarks

Q. What is the API pricing for GPT-5-nano? How much does it cost per 1M tokens?+

GPT-5-nano (OpenAI) is priced at $0.0500 per 1 million input tokens and $0.4000 per 1 million output tokens. The output rate is approximately 8.0x 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-5-nano?+

GPT-5-nano features a 400K context window and a maximum output limit of 128K tokens per request. It provides ample capacity for multi-turn dialogs and complex document parsing.

Q. Does GPT-5-nano support Prompt Caching, and how much cost can be saved?+

Yes, GPT-5-nano supports prompt caching. Cached reads cost $0.0050 per 1M tokens, delivering an estimated 90% 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 (59.75) and performance profile of GPT-5-nano?+

GPT-5-nano achieves an overall benchmark score of 59.75/100 with a "Blazing Fast" speed rating. It is optimized for high-throughput, low-latency applications requiring budget-conscious performance.

Q. Which alternative models are comparable to GPT-5-nano?+

Key alternatives in similar price-to-performance tiers include grok-4-1-fast-non-reasoning, grok-4-fast-non-reasoning, Gemini 2.5 Flash-Lite. We recommend comparing them based on your latency targets, context window needs, and prompt caching benefits using the full comparison tool on this site.