OpenAI: GPT-4.1

2 providers live

openai/gpt-4.1

→

2 live providers
100% uptime
1.20 s first token
334 tok/s output

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and GPT-4.5 across coding (54.6% SWE-bench Verified), instruction compliance (87.4% IFEval), and multimodal understanding benchmarks. It is tuned for precise code diffs, agent reliability, and high recall in large document contexts, making it ideal for agents, IDE tooling, and enterprise knowledge retrieval.

Context: 1M; tokens
Max output: 32K; tokens
Input: $2.00; per million tokens
Output: $8.00; per million tokens

Providers

Ranked by price and speed. Requests go to the best healthy provider, then fail over down the list.Benchmarks

Live providers of GPT-4.1, in the router's order
Who answers now	Input per 1M	First token
llm.buzzpicked	$2.00	2.07 s
OpenAI	$2.00	1.20 s

llm.buzz answers now: first in the router's order.

First token is the 24-hour median. If the pick fails, the next one answers at its own price.

#	Provider	Input	Output	Cache read	Latency	Throughput	Uptime (3d)
1	llm.buzzAutoNon-EU Data policy not declared	$2.00	$8.00	$0.50	2.07 s	334 tok/s	95.8%
2	OpenAINon-EU Data policy not declared	$2.00	$8.00	$0.50	1.20 s	112 tok/s	100%

Want to serve this model?Become a provider

Price history

No price changes since Oct 22, 2026.

OpenAI$2.00 in, $8.00 out

Performance

Last 24 hours, from llm.buzz's test requests

Throughput (tok/s)

llm.buzz334 tok/s
OpenAI112 tok/s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 06:00	401 tok/s	401 tok/s	401 tok/s
llm.buzz	Oct 26, 10:00	65 tok/s	65 tok/s	65 tok/s
llm.buzz	Oct 26, 15:00	112 tok/s	112 tok/s	112 tok/s
llm.buzz	Oct 26, 19:00	692 tok/s	692 tok/s	692 tok/s
llm.buzz	Oct 26, 23:00	232 tok/s	232 tok/s	232 tok/s
llm.buzz	Oct 27, 03:00	334 tok/s	334 tok/s	334 tok/s
llm.buzz	Last 24 hours	334 tok/s	65 tok/s	65 tok/s
OpenAI	Oct 26, 05:00	112 tok/s	112 tok/s	112 tok/s
OpenAI	Oct 26, 10:00	134 tok/s	134 tok/s	134 tok/s
OpenAI	Oct 26, 14:00	78 tok/s	78 tok/s	78 tok/s
OpenAI	Oct 26, 19:00	31 tok/s	31 tok/s	31 tok/s
OpenAI	Oct 27, 00:00	112 tok/s	112 tok/s	112 tok/s
OpenAI	Last 24 hours	112 tok/s	31 tok/s	31 tok/s

Latency (time to first token)

llm.buzz2.07 s
OpenAI1.20 s

Data table

Provider	From (UTC)	p50	p90	p99
llm.buzz	Oct 26, 06:00	31.8 s	31.8 s	31.8 s
llm.buzz	Oct 26, 10:00	1.72 s	1.72 s	1.72 s
llm.buzz	Oct 26, 15:00	2.07 s	2.07 s	2.07 s
llm.buzz	Oct 26, 19:00	2.98 s	2.98 s	2.98 s
llm.buzz	Oct 26, 23:00	2.07 s	2.07 s	2.07 s
llm.buzz	Oct 27, 03:00	4.29 s	4.29 s	4.29 s
llm.buzz	Last 24 hours	2.07 s	31.8 s	31.8 s
OpenAI	Oct 26, 05:00	1.00 s	1.00 s	1.00 s
OpenAI	Oct 26, 10:00	1.20 s	1.20 s	1.20 s
OpenAI	Oct 26, 14:00	1.44 s	1.44 s	1.44 s
OpenAI	Oct 26, 19:00	1.20 s	1.20 s	1.20 s
OpenAI	Oct 27, 00:00	0.83 s	0.83 s	0.83 s
OpenAI	Last 24 hours	1.20 s	1.44 s	1.44 s

Uptime

Last 72 hours, by hour

Best provider 100%

This model

llm.buzz

OpenAI

Up: 95% or more served
Degraded: 85% to 95%
Down: below 85%
No data
From llm.buzz's test requests

Questions

How much does OpenAI: GPT-4.1 cost?

OpenAI: GPT-4.1 costs $2.00 per million input tokens and $8.00 per million output tokens at llm.buzz, the provider requests go to first, with cache reads at $0.50 per million tokens.

Do providers train on my prompts?

Each provider declares it, and the table above shows every declaration. You can limit a request to providers that keep nothing, or to providers in the EU.

Can I serve OpenAI: GPT-4.1 myself?

Yes. Apply as a provider, add your endpoint and list this model at your price. It goes live once the automated check passes.

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Call it

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.llm.buzz/api/v1",
    api_key=os.environ["LLM_BUZZ_KEY"],
)
reply = client.chat.completions.create(
    model="openai/gpt-4.1",
    messages=[{"role": "user", "content": "Hello"}],
)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.llm.buzz/api/v1",
  apiKey: process.env.LLM_BUZZ_KEY,
});
const reply = await client.chat.completions.create({
  model: "openai/gpt-4.1",
  messages: [{ role: "user", content: "Hello" }],
});

curl https://api.llm.buzz/api/v1/chat/completions \
  -H "Authorization: Bearer $LLM_BUZZ_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "openai/gpt-4.1",
       "messages": [{"role": "user", "content": "Hello"}]}'

Endpoints

POST /api/v1/chat/completionsPOST /api/v1/responsesPOST /api/v1/messages

Authentication

Send your llm.buzz key as a Bearer token: Authorization: Bearer $LLM_BUZZ_KEY. Create keys in the console. The same key calls every model; each request pays the price of the provider that answered it.

More in Authentication and the API reference.

Call OpenAI: GPT-4.1 with one keyEach request pays the price of the provider that answered it.

Get API key