Context Window
400,000
Input tokens
Full-context input ≈ $0.08
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/gpt-5.4-nano-20260317
Pricing updated May 1, 2026
Live Pricing
Input: $0.2000
Output: $1.25
Last synced May 1, 2026 · MMLU score via public benchmark data
OpenAI's GPT-5.4 Nano model offers a substantial context window of 400,000 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review and long-form content generation. With an input price of $0.20 per million tokens and an output price of $1.25 per million tokens, teams can effectively manage costs while leveraging advanced natural language processing capabilities for tasks like chatbots and automated report generation. This model is particularly beneficial for organizations that need to process large volumes of text data efficiently without compromising on performance.
Provider Compliance
Context Window
400,000
Input tokens
Full-context input ≈ $0.08
Max Output
128,000
Completion tokens
Input Price / 1M
$0.2000
Prompt tokens
Output Price / 1M
$1.25
Completion tokens
Top Benchmark
65.7
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: GPT-5.4 Nano. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.2000
Current Output / 1M
$1.25
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.2000 |
| Output (Completion) | $1.25 |
| Cache Read | $0.0200 |
| Web Search | $10,000.00 |
Estimate monthly spend for OpenAI: GPT-5.4 Nano based on your workload.
Estimated Monthly Cost
$20
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.