OpenAI: GPT 5 Nano

One API key. Live prices. Ready-to-run code.

GPT-5 Nano is a lightweight, low-latency language model designed for cost-efficient text generation, chat, and tool-calling workloads.

Served on OneInfer by OpenAI. Use it with the same API key and pay-as-you-go wallet as every other model in the catalog.

ProviderOpenAIopenai/gpt-5-nano

Call GPT 5 Nano in 4 steps

Step 1 of 4

Create a key in the Console. The same key works for every model on OneInfer.

Input tokens
$0.050 / 1M tokens
Output tokens
$0.400 / 1M tokens
Context
400K
Input
text
Output
text
Tool calling
Supported

About this model

GPT-5 Nano is a lightweight, low-latency language model designed for cost-efficient text generation, chat, and tool-calling workloads.

Input modalities

  • text

    Accepted as model input

Providers

Available routing options for this model through OneInfer.

  • Available
    Input tokens
    $0.050 / 1M tokens
    Output tokens
    $0.400 / 1M tokens
    Routing
    OneInfer optimized

Pricing

Current OneInfer pricing for this model.

UsagePrice
Input tokens$0.050 / 1M tokens
Output tokens$0.400 / 1M tokens
Cached input tokens$0.0050 / 1M tokens

Performance and benchmarks

Independent evaluations and live cluster operational metrics

We haven’t measured this model yet. Published academic results are under Academic evaluations.

API guide

API docs
  1. Generate your access token

    Use your API key to generate the JWT access token required by the Models API.

  2. Add the JWT token

    Copy the generated JWT token and replace JWT_TOKEN in the example below.

  3. Check your credits

    If your balance is too low, before calling the model.

  4. Run the API example

    Choose your preferred language, copy the example, and send your first model request.

    curl https://api.oneinfer.ai/v1/ula/chat/completions \
      -H "Authorization: Bearer $JWT_TOKEN" \
      -H "Content-Type: application/json" \
      -d '{
        "model": "openai/gpt-5-nano",
        "messages": [
          { "role": "user", "content": "Hello!" }
        ]
      }'

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