MoonshotAI Kimi Latest vs Kimi K3
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, MoonshotAI Kimi Latest comes out about 1.2× cheaper.
| Feature | MoonshotAI Kimi Latest | Kimi K3 |
|---|---|---|
| Provider | Moonshot (Kimi) | Moonshot (Kimi) |
| Model id | ~moonshotai/kimi-latest | moonshotai/kimi-k3 |
| Context | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 943,718 tokens | 943,718 tokens |
| Input / 1M tokens | 739,819 toman | 870,375 toman |
| Output / 1M tokens | 3,699,094 toman | 4,351,875 toman |
| ≈ one 1,000-word request | 5,771 toman | 6,789 toman |
| Input caching | 74,272 toman / 1M | 87,038 toman / 1M |
| Image input | Yes | Yes |
| File input | No | No |
| Tool calling | Yes | Yes |
| JSON output | Yes | Yes |
| Reasoning mode | Yes | Yes |
Which one for what?
MoonshotAI Kimi Latest
- 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
5,771 toman per 1,000 words · Model page
Kimi K3
- 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
6,789 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": "~moonshotai/kimi-latest",
"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="~moonshotai/kimi-latest",
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: "~moonshotai/kimi-latest",
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' => '~moonshotai/kimi-latest',
'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: "~moonshotai/kimi-latest",
Messages: []openai.ChatCompletionMessageParamUnion{openai.UserMessage("Introduce yourself in one sentence.")},
})
if err != nil {
panic(err)
}
fmt.Println(resp.Choices[0].Message.Content)
}model = "moonshotai/kimi-k3"
More comparisons: all pairs · model rankings · full catalogue
base_url = https://api.uttapen.ir/v1