ReMM SLERP 13B vs Gemma 2 27B
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, ReMM SLERP 13B comes out about 1.3× cheaper.
| Feature | ReMM SLERP 13B |  Gemma 2 27B |
|---|---|---|
| Provider | Undi95 | |
| Model id | undi95/remm-slerp-l2-13b | google/gemma-2-27b-it |
| Context | 6,144 tokens | 8,192 tokens |
| Max output | 5,529 tokens | 2,048 tokens |
| Input / 1M tokens | 101,544 toman | 188,581 toman |
| Output / 1M tokens | 188,581 toman | 188,581 toman |
| ≈ one 1,000-word request | 377 toman | 490 toman |
| Input caching | No | No |
| Image input | No | No |
| File input | No | No |
| Tool calling | No | No |
| JSON output | Yes | Yes |
| Reasoning mode | No | No |
Which one for what?
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": "undi95/remm-slerp-l2-13b",
"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="undi95/remm-slerp-l2-13b",
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: "undi95/remm-slerp-l2-13b",
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' => 'undi95/remm-slerp-l2-13b',
'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: "undi95/remm-slerp-l2-13b",
Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
})
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}model = "google/gemma-2-27b-it"
More comparisons: all pairs · model rankings · full catalogue
base_url = https://api.uttapen.ir/v1