OpenAI: GPT-5 Nano
Analysis Summary
GPT-5 Nano is OpenAI's smallest August 2025 release, priced at just $0.05 input and $0.40 output per million tokens. At that price point it offers genuine utility: vision support, tool use, function calling, and a 400K context window are all present, and its livecodebench score of 0.789 is respectable for a nano-class model.
The intelligence index of 19.9 and agentic index of 24.3 place it firmly in the lightweight tier. It is not suited to complex reasoning, multi-step agentic workflows, or tasks requiring deep analysis. Long-context reasoning and terminalbench scores are also low, so it will struggle with nuanced document work or hard coding tasks.
The right use case is high-volume, low-complexity automation: classification, summarisation, simple content generation, or structured data extraction where cost per call matters more than reasoning depth. Teams already using OpenAI infrastructure will find it a natural fit for the cheapest tier of a tiered model routing strategy.
Assessed June 30, 2026
Editorial notes
GPT-5 Nano from OpenAI is an ultra-low-cost model with vision, tool use, and a 400K context window, suited to high-volume lightweight tasks despite limited reasoning depth.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-5 Nano compares
OpenAI: GPT-5 Nano ranks #137 of 385 AI models we track for overall intelligence, #166 of 293 for agentic tasks. Its 400K-token context window is larger than 85% of the models we list. At $0.05 per million input tokens it is cheaper than 73% of comparable models.
About OpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-5 Nano stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
openai/gpt-5-nano
|
| Provider | openai |
| Release Date | August 7, 2025 |
| Context Length | 400,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.05 | $0.000050 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Explore Related Models
Frequently asked questions about OpenAI: GPT-5 Nano
How much does OpenAI: GPT-5 Nano cost?
OpenAI: GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens.
What is the context window of OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano has a context window of 400,000 tokens (400K).
What can OpenAI: GPT-5 Nano do?
OpenAI: GPT-5 Nano supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano is developed by OpenAI and was released on August 7, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: July 2, 2026 8:38 pm