Which is cheaper, o1-pro or GPT-5.4 Pro?

GPT-5.4 Pro is the cheaper of the two: one 1,000-word request costs about 79,204 toman, about 3.6× cheaper than o1-pro.

Which one has the larger context window?

GPT-5.4 Pro, with 1,050,000 tokens.

o1-pro vs GPT-5.4 Pro

Both sit behind the same key and the same code on uttapen — the only thing that changes is the model string, so you can run each of them against your own workload without touching anything else. On cost, GPT-5.4 Pro comes out about 3.6× cheaper.

Feature	o1-pro	GPT-5.4 Pro
Provider	OpenAI	OpenAI
Model id	openai/o1-pro	openai/gpt-5.4-pro
Context	200,000 tokens	1,050,000 tokens
Max output	100,000 tokens	128,000 tokens
Input / 1M tokens	43,518,750 toman	8,703,750 toman
Output / 1M tokens	174,075,000 toman	52,222,500 toman
≈ one 1,000-word request	282,872 toman	79,204 toman
Input caching	No	No
Image input	Yes	Yes
File input	Yes	Yes
Tool calling	No	Yes
JSON output	Yes	Yes
Reasoning mode	Yes	Yes

Which one for what?

o1-pro

Multi-step problems, maths, and tracking down a bug
Whole documents or a codebase in a single request
Reading screenshots, invoices, and scanned forms

282,872 toman per 1,000 words · Model page

GPT-5.4 Pro

Multi-step problems, maths, and tracking down a bug
Whole documents or a codebase in a single request
Reading screenshots, invoices, and scanned forms
Agents that call your own APIs and database

79,204 toman per 1,000 words · Model page

Run both with the same code

Swap the model value between the two ids and send the same request twice; what each answer cost comes back in the X-Uttapen-Cost-Toman header.

curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/o1-pro",
    "messages": [{"role": "user", "content": "Introduce yourself in one sentence."}],
    "stream": true
  }'

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uttapen.ir/v1",
    api_key="sk-up-…",
)

stream = client.chat.completions.create(
    model="openai/o1-pro",
    messages=[{"role": "user", "content": "Introduce yourself in one sentence."}],
    stream=True,
)
for chunk in stream:
    print(chunk.choices[0].delta.content or "", end="", flush=True)

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.uttapen.ir/v1",
  apiKey: "sk-up-…",
});

const stream = await client.chat.completions.create({
  model: "openai/o1-pro",
  messages: [{ role: "user", content: "Introduce yourself in one sentence." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
}

<?php
// composer require openai-php/client guzzlehttp/guzzle
$client = OpenAI::factory()
    ->withBaseUri('https://api.uttapen.ir/v1')
    ->withApiKey('sk-up-…')
    ->make();

$result = $client->chat()->create([
    'model' => 'openai/o1-pro',
    'messages' => [['role' => 'user', 'content' => 'Introduce yourself in one sentence.']],
]);
echo $result->choices[0]->message->content;

package main

import (
	"context"
	"fmt"

	"github.com/openai/openai-go"
	"github.com/openai/openai-go/option"
)

func main() {
	client := openai.NewClient(
		option.WithBaseURL("https://api.uttapen.ir/v1"),
		option.WithAPIKey("sk-up-…"),
	)
	resp, err := client.Chat.Completions.New(context.Background(), openai.ChatCompletionNewParams{
		Model:    "openai/o1-pro",
		Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
	})
	if err != nil {
		panic(err)
	}
	fmt.Println(resp.Choices[0].Message.Content)
}

model = "openai/gpt-5.4-pro"

More comparisons: all pairs · model rankings · full catalogue

base_url = https://api.uttapen.ir/v1