Context Window
400,000
Input tokens
Full-context input ≈ $0.02
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/gpt-5-nano-2025-08-07
Pricing updated Apr 25, 2026
Live Pricing
Input: $0.0500
Output: $0.4000
Last synced Apr 25, 2026 · MMLU score via public benchmark data
OpenAI's GPT-5 Nano offers a substantial context window of 400,000 tokens, making it suitable for applications requiring extensive text analysis or generation, such as legal document review and long-form content creation. With an input price of $0.05 per million tokens and an output price of $0.40 per million tokens, teams can optimize their budgeting for projects that demand high-volume data processing. This model is particularly advantageous for organizations needing to handle large datasets efficiently while maintaining cost-effectiveness in their API usage.
Provider Compliance
Context Window
400,000
Input tokens
Full-context input ≈ $0.02
Max Output
—
Not specified
Input Price / 1M
$0.0500
Prompt tokens
Output Price / 1M
$0.4000
Completion tokens
Top Benchmark
78.0
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: GPT-5 Nano. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.0500
Current Output / 1M
$0.4000
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
100.0%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.0500 |
| Output (Completion) | $0.4000 |
| Cache Read | $0.0100 |
Estimate monthly spend for OpenAI: GPT-5 Nano based on your workload.
Estimated Monthly Cost
$6.05
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.