Analysis Summary
OpenAI GPT-5 Nano is a compact multimodal model supporting text, images, and files, with tool use, function calling, and a 400K context window. Input costs $0.025 per million tokens and output costs $0.20, making it suitable for high-volume classification, extraction, routing, templated content, and other repetitive operations where latency and cost control are priorities.
No model-specific benchmark results are supplied for this batch variant, so its reasoning and coding performance remain unverified. The context capacity is useful for compact document workflows, but the model should not be assumed to handle complex planning or autonomous execution without testing. It is a strong candidate for internal automation and fallback traffic once accuracy, schema compliance, and tool-call behaviour have been measured.
Assessed August 9, 2026
Editorial notes
GPT-5 Nano combines very low pricing with a 400K context window, vision, tool use, and function calling. No model-specific benchmark results are supplied for this batch variant, so it is best suited to lightweight automation pending evaluation.
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DFO Verdict
GPT-5 Nano combines very low pricing with a 400K context window, vision, tool use, and function calling. No model-specific benchmark results are supplied for this batch variant, so it is best suited to lightweight automation pending evaluation.
How OpenAI: GPT-5 Nano (batch) compares
Its 400K-token context window is larger than 78% of the models we list. At $0.03 per million input tokens it is cheaper than 79% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000025 |
| Output | $0.20 | $0.000200 |
What would OpenAI: GPT-5 Nano (batch) cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5 Nano (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5 Nano (batch)
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..
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Frequently asked questions about OpenAI: GPT-5 Nano (batch)
How much does OpenAI: GPT-5 Nano (batch) cost?
OpenAI: GPT-5 Nano (batch) costs $0.03 per million input tokens and $0.20 per million output tokens.
What is the context window of OpenAI: GPT-5 Nano (batch)?
OpenAI: GPT-5 Nano (batch) has a context window of 400,000 tokens (400K).
What can OpenAI: GPT-5 Nano (batch) do?
OpenAI: GPT-5 Nano (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5 Nano (batch)?
OpenAI: GPT-5 Nano (batch) is developed by OpenAI and was released on August 7, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: August 10, 2026 8:38 pm