Atlas / Models / OpenAI / OpenAI: GPT-4.1 Nano (batch)

OpenAI: GPT-4.1 Nano (batch)✓ Catalog verified

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...

Input price
$0.05 /1M
Output price
$0.20 /1M
Context
1.0M
Modalities
imagetextfile
Released
Apr 14, 2025
Tool calling
✓ Yes
Atlas signal
86/100
01

Overview

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...

Access: available through the official OpenAI API. Context window: 1.0M.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 9, 2026
02

Specifications

API identifieropenai/gpt-4.1-nano:batch
ProviderOpenAI
Model typeMultimodal LLM
Context window1.0M catalog
Input modalitiesimage · text · file
Output modalitiestext
ReleasedApr 14, 2025
TokenizerGPT
ModeratedYes
Architecture modalitytext+image+file->text
Supported parameters
max_tokensresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for openai/gpt-4.1-nano:batch as published in the catalog.

$0.05
Input /1M
$0.20
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$5e-8$0.05 / 1MPer input token
Completion tokens$2e-7$0.20 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search fee$0.01$0.010000Per search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.07Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

OpenAI: GPT-4.1 Nano (batch)
MMLU Signal (Reasoning)
83signal
Coding Signal (HumanEval proxy)
92signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call OpenAI: GPT-4.1 Nano (batch) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="openai/gpt-4.1-nano:batch",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does OpenAI: GPT-4.1 Nano (batch) cost?

$0.05 per 1M input tokens and $0.20 per 1M output tokens on the official OpenAI API.

What is the context window of OpenAI: GPT-4.1 Nano (batch)?

OpenAI: GPT-4.1 Nano (batch) supports up to 1.0M tokens of context.

Does OpenAI: GPT-4.1 Nano (batch) support tool / function calling?

Yes, OpenAI: GPT-4.1 Nano (batch) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access OpenAI: GPT-4.1 Nano (batch)?

Use the official OpenAI API with the model id `openai/gpt-4.1-nano:batch`. See the Quick start section above for code examples.