OpenAI: GPT-4.1 Nano (batch)
Analysis Summary
GPT-4.1 Nano is a compact multimodal OpenAI model with text, image, and file input, tool use, and function calling. It supports a 1,047,576-token context window and is listed at $0.05 per million input tokens and $0.20 per million output tokens. No benchmark results are supplied for this batch variant, so it should be evaluated as a low-cost utility rather than assumed to match larger models.
The strongest use cases are classification, routing, metadata generation, extraction, content cleanup, and simple tool-triggering operations. Its low price makes large-scale automation feasible, while the long context can reduce document-splitting overhead. More demanding editorial judgement, complex coding, and nuanced client communication should be handled by a stronger model.
Adopt it for high-volume support tasks and reserve premium models for decisions that require deeper reasoning.
Assessed August 9, 2026
Editorial notes
GPT-4.1 Nano offers a 1M token context window, vision, file input, tool use, and function calling at low listed prices. It fits routing and routine automation, but lacks benchmark data for this batch entry.
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DFO Verdict
GPT-4.1 Nano offers a 1M token context window, vision, file input, tool use, and function calling at low listed prices. It fits routing and routine automation, but lacks benchmark data for this batch entry.
How OpenAI: GPT-4.1 Nano (batch) compares
Its 1M-token context window is larger than 87% of the models we list. At $0.05 per million input tokens it is cheaper than 76% 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 | $0.05 | $0.000050 |
| Output | $0.20 | $0.000200 |
What would OpenAI: GPT-4.1 Nano (batch) cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 701 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4.1 Nano (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4.1 Nano (batch)
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million..
Frequently asked questions about OpenAI: GPT-4.1 Nano (batch)
How much does OpenAI: GPT-4.1 Nano (batch) cost?
OpenAI: GPT-4.1 Nano (batch) costs $0.05 per million input tokens and $0.20 per million output tokens.
What is the context window of OpenAI: GPT-4.1 Nano (batch)?
OpenAI: GPT-4.1 Nano (batch) has a context window of 1,047,576 tokens (1M).
What can OpenAI: GPT-4.1 Nano (batch) do?
OpenAI: GPT-4.1 Nano (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4.1 Nano (batch)?
OpenAI: GPT-4.1 Nano (batch) is developed by OpenAI and was released on April 14, 2025.
