Last refreshed 2026-06-29. Next refresh: weekly.
Why use GPT-4.1 Nano on Vercel AI Gateway?
Vercel AI Gateway offers GPT-4.1 Nano with pay-as-you-go pricing at $0.10/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare GPT-4.1 Nano across 4 providers to find the best fit for your use caseInput / 1M
$0.10
Output / 1M
$0.40
Cache
read $0.025
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
openai/gpt-4.1-nanoRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="openai/gpt-4.1-nano",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "openai/gpt-4.1-nano", not the LLMReference slug "gpt-4.1-nano".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare GPT-4.1 Nano Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Replicate API | $0.10 | $0.40 |
| OpenRouter | $0.10 | $0.40 |
| OpenAI API | $0.10 | $0.40 |
| Vercel AI Gateway | $0.10 | $0.40 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.40 |
| Query | $10.00 |
Capabilities
VisionMultimodalJSON / Tool useStructured OutputsCode ExecutionPrompt CachingBatch API
About GPT-4.1 Nano
Fastest and most cost-effective GPT-4.1 variant from OpenAI. Released April 2025 alongside GPT-4.1 and GPT-4.1 Mini. 1 million token context window optimized for high-volume applications.
Get Started
Model Specs
Released2025-04-01
Context1.05m
ArchitectureDecoder Only
Knowledge cutoff2025-01