GPT-5 Nano
GPT 5 Nano is OpenAI's fastest, most cost-efficient version of GPT 5, built for summarization and classification, and the successor to GPT-4.1 nano.
Model Overview
Capabilities, design details, and architectural traits
GPT 5 Nano - The Fastest, Most Cost-Efficient Version of GPT 5
GPT 5 Nano is documented as the fastest, most cost-efficient version of GPT 5. It is built for summarization and classification work, where speed matters more than deep, multi-step reasoning.
| Trait | Detail |
|---|---|
| Defining purpose | The fastest, most cost-efficient version of GPT 5, built for summarization and classification tasks rather than deep reasoning. |
| Documented lineage | Positioned as the successor to GPT-4.1 nano, with OpenAI recommending GPT 5 Nano over GPT-4.1 nano for more complex tasks. |
| Family tier | Released as the smallest of three GPT 5 sizes, alongside gpt-5 and gpt-5-mini, introduced together so developers can trade off performance, cost, and latency. |
Benchmark Performance
Independent evaluations · Artificial Analysis
Accuracy & Capability Details
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| Model Details | |||
|---|---|---|---|
| General Info | |||
| Provider | OpenAI | Anthropic | Anthropic |
| Release Date | August 7, 2025 | September 22, 2026 | September 28, 2026 |
| Knowledge Cutoff | May 2024 | - | Jun 2026 |
| Context & Limits | |||
| Context Window | 400K | 1M Best Context Window | 1M Best Context Window |
| Pricing (per 1M tokens) | |||
| Input Pricing | $0.05 Best Input Pricing | $4 | $2 |
| Output Pricing | $0.40 Best Output Pricing | $20 | $10 |
| Modalities | |||
| Inputs | textimagefile | textimagefile | textimagefile |
| Outputs | text | text | text |
| Benchmarks (0-100) | |||
| Intelligence Index | 13.0 | 57.6 Best Intelligence Index | 56.0 |
| Coding Index | - | - | - |
| Agentic Index | - | - | - |
Humanity's Last Exam
Extremely difficult logical reasoning and knowledge.
Long Context Reasoning
Logical reasoning over long context windows.
SciCode Benchmark
Scientific coding and mathematical modeling.
Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.
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