OpenAI: GPT-5.4 Nano
Analysis Summary
GPT-5.4 Nano is OpenAI's compact entry in the GPT-5.4 family, and it punches well above its size class. With an intelligence index of 38.2 and a coding index of 43.9, it sits in the very strong tier for both reasoning and software tasks. Its agentic index of 59.2 is particularly strong for a nano-class model, making it a credible option for multi-step tool use and automated workflows.
The 400K context window, combined with vision, file input, tool use, and function calling, gives it broad capability breadth that suits a wide range of business workloads: document analysis, code review, customer-facing automation, and structured content generation. Instruction following is strong, with an ifbench score of 0.76. The main trade-off versus larger GPT-5.4 siblings is a meaningful gap in raw reasoning depth.
At $0.20 input and $1.25 output per million tokens, it offers strong value for a GPT-5 family model. Teams that need reliable agentic performance and multimodal capability without the cost of the full GPT-5.4 will find this a well-rounded choice.
Assessed June 17, 2026
Editorial notes
GPT-5.4 Nano from OpenAI delivers strong reasoning and excellent agentic performance with a 400K context window, vision, tool use, and function calling at a competitive price point for a GPT-5 family model.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-5.4 Nano compares
OpenAI: GPT-5.4 Nano ranks #39 of 385 AI models we track for overall intelligence, #24 of 129 for coding, #66 of 293 for agentic tasks. Its 400K-token context window is larger than 85% of the models we list. At $0.20 per million input tokens it is cheaper than 53% of comparable models.
About OpenAI: GPT-5.4 Nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-5.4 Nano stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
openai/gpt-5.4-nano
|
| Provider | openai |
| Release Date | March 17, 2026 |
| Context Length | 400,000 tokens |
| Max Completion | 128,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $1.25 | $0.001250 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
External Resources
Explore Related Models
Frequently asked questions about OpenAI: GPT-5.4 Nano
How much does OpenAI: GPT-5.4 Nano cost?
OpenAI: GPT-5.4 Nano costs $0.20 per million input tokens and $1.25 per million output tokens.
What is the context window of OpenAI: GPT-5.4 Nano?
OpenAI: GPT-5.4 Nano has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5.4 Nano good for coding?
On our coding benchmark index, OpenAI: GPT-5.4 Nano ranks #24 of 129 models, placing it in the top quartile of the field for code generation and debugging.
What can OpenAI: GPT-5.4 Nano do?
OpenAI: GPT-5.4 Nano supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.4 Nano?
OpenAI: GPT-5.4 Nano is developed by OpenAI and was released on March 17, 2026.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 30, 2026 9:37 pm