WLRouter
Models/gpt-5.4-nano
Model Code
gpt-5.4-nano
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Model overview

NanoLow costVisionTools

GPT-5.4 nano is optimized for speed and cost-sensitive tasks such as classification, extraction, ranking, and lightweight agent steps. It supports text and image input, text output, structured outputs, and Responses API access.

Company: OpenAIProvider: OpenAI

Model capabilities

Input modalityT
Output modalityT
Model experience✓
Function calling✓
Structured output✓
Web search✓
Prefix completion-
Context cache✓
Batch inference✓
Fine-tuning×

Model pricing

Input$0.20/1M tokens
Input (cache hit)$0.02/1M tokens
Output$1.25/1M tokens
Input (Batch)$0.10/1M tokens
Input (Batch cache hit)$0.01/1M tokens
Output (Batch)$0.625/1M tokens

Tool call pricing

Web search Responses API$10/1K calls + model token charges
File search Responses APIUsage based

Rate limits and context

Maximum input length400K
Context length400K
Maximum output length128K
Knowledge cutoff2025-08-31
Supported endpointsResponses / Chat Completions / Batch

API reference

EndpointPOST /v1/chat/completions or POST /v1/responses
SDKOpenAI-compatible

API code examples

Get API Key
from openai import OpenAI

client = OpenAI(
    api_key="$WLROUTER_API_KEY",
    base_url="https://api.wlrouter.com/v1"
)

response = client.chat.completions.create(
    model="gpt-5.4-nano",
    messages=[
        {"role": "user", "content": "Reply with one short sentence."}
    ],
    max_tokens=32
)

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