Palmyra X5 vs Aion-3.0
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, Palmyra X5 comes out about 1.4× cheaper.
| Feature | Palmyra X5 |  Aion-3.0 |
|---|---|---|
| Provider | Writer | Aion Labs |
| Model id | writer/palmyra-x5 | aion-labs/aion-3.0 |
| Context | 1,040,000 tokens | 131,072 tokens |
| Max output | 8,192 tokens | 32,768 tokens |
| Input / 1M tokens | 174,075 toman | 870,375 toman |
| Output / 1M tokens | 1,740,750 toman | 1,740,750 toman |
| ≈ one 1,000-word request | 2,489 toman | 3,394 toman |
| Input caching | No | 217,594 toman / 1M |
| Image input | No | No |
| File input | No | No |
| Tool calling | No | Yes |
| JSON output | No | Yes |
| Reasoning mode | No | Yes |
Which one for what?
Aion-3.0
- Multi-step problems, maths, and tracking down a bug
- Agents that call your own APIs and database
3,394 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": "writer/palmyra-x5",
"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="writer/palmyra-x5",
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: "writer/palmyra-x5",
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' => 'writer/palmyra-x5',
'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: "writer/palmyra-x5",
Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
})
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}model = "aion-labs/aion-3.0"
More comparisons: all pairs · model rankings · full catalogue
base_url = https://api.uttapen.ir/v1