Context Window
1,047,576
Input tokens
Full-context input ≈ $0.10
Model Cost Profile
Developer: openai· Tokenizer: GPT · Quantization: unknown
Canonical ID: openai/gpt-4.1-nano-2025-04-14
Pricing updated Apr 22, 2026
Live Pricing
Input: $0.1000
Output: $0.4000
Last synced Apr 22, 2026 · MMLU score via public benchmark data
OpenAI's GPT-4.1 Nano offers a substantial context window of 1,047,576 tokens, making it ideal for applications requiring extensive text analysis, such as legal document review or long-form content generation. With an input price of $0.10 per million tokens and an output price of $0.40 per million tokens, teams can effectively budget for projects that demand high token usage without incurring prohibitive costs. This model is particularly suited for businesses looking to integrate advanced natural language processing capabilities into their workflows while maintaining cost efficiency.
Provider Compliance
Context Window
1,047,576
Input tokens
Full-context input ≈ $0.10
Max Output
32,768
Completion tokens
Input Price / 1M
$0.1000
Prompt tokens
Output Price / 1M
$0.4000
Completion tokens
Top Benchmark
65.7
MMLU score — highest of MMLU, GPQA, MATH, HumanEval
Evaluation scores for OpenAI: GPT-4.1 Nano. The “Top Benchmark” shown above is the highest score across MMLU, GPQA, MATH & HumanEval.
Price History
Current Input / 1M
$0.1000
Current Output / 1M
$0.4000
Performance History
Current TPS
0.00
Current Latency
0ms
Uptime
99.9%
| Usage Type | Price / 1M Tokens |
|---|---|
| Input (Prompt) | $0.1000 |
| Output (Completion) | $0.4000 |
| Cache Read | $0.0250 |
| Web Search | $10,000.00 |
Estimate monthly spend for OpenAI: GPT-4.1 Nano based on your workload.
Estimated Monthly Cost
$7.30
25M input + 12M output tokens
Quick links for cost-down decisions before production rollout.