qwen3.7-max
Flagship reasoning. Text-only.
Versi maximum Qwen 3.7 untuk problem solving kompleks dan agentic coding tingkat lanjut. Tidak menerima input gambar.
Endpoint utama:
https://divproxy.my.id/v1/chat/completions
(OpenAI-compatible).
Untuk Claude Code dan Anthropic SDK, pakai
https://divproxy.my.id/anthropic.
OpenAI SDK Python, cuma ganti base_url.
from openai import OpenAI
client = OpenAI(
api_key="divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
base_url="https://divproxy.my.id/v1"
)
response = client.chat.completions.create(
model="qwen3.6-plus",
messages=[{"role": "user", "content": "Halo!"}]
)
print(response.choices[0].message.content)
curl https://divproxy.my.id/v1/chat/completions \
-H "Authorization: Bearer divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-plus",
"messages": [{"role": "user", "content": "Halo!"}]
}'
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
baseURL: "https://divproxy.my.id/v1",
});
const response = await client.chat.completions.create({
model: "qwen3.6-plus",
messages: [{ role: "user", content: "Halo!" }],
});
console.log(response.choices[0].message.content);
Pakai base URL tanpa /v1. Claude Code akan call /v1/messages sendiri.
# PowerShell
$env:ANTHROPIC_BASE_URL="https://divproxy.my.id/anthropic"
$env:ANTHROPIC_API_KEY="divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
$env:ANTHROPIC_CUSTOM_MODEL_OPTION="qwen3.6-plus"
$env:ANTHROPIC_MODEL="qwen3.6-plus"
$env:CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY="1"
claude
# macOS / Linux
export ANTHROPIC_BASE_URL="https://divproxy.my.id/anthropic"
export ANTHROPIC_API_KEY="divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
export ANTHROPIC_CUSTOM_MODEL_OPTION="qwen3.6-plus"
export ANTHROPIC_MODEL="qwen3.6-plus"
export CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY="1"
claude
VS Code AI coding assistant. Sambungkan via provider OpenAI Compatible.
Base URL : https://divproxy.my.id/v1
API Key : divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model : qwen3.6-plus
Untuk thinking dan tool use lebih native, pilih provider Anthropic:
Base URL : https://divproxy.my.id/anthropic
API Key : divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model : qwen3.6-plus
Terminal AI coding assistant. Pakai env var atau file config.
OPENAI_API_KEY="divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
OPENAI_BASE_URL="https://divproxy.my.id/v1" \
opencode
Atau tambahkan ke ~/.config/opencode/config.json:
{
"provider": "openai",
"model": "qwen3.6-plus",
"baseURL": "https://divproxy.my.id/v1",
"apiKey": "divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
}
VS Code dan JetBrains extension. Edit file ~/.continue/config.json:
{
"models": [
{
"title": "DivProxy Qwen3.6-Plus",
"provider": "openai",
"model": "qwen3.6-plus",
"apiKey": "divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"apiBase": "https://divproxy.my.id/v1"
}
]
}
Simpan, reload VS Code, model muncul di dropdown Continue.
VS Code extension agentic coding. Support OpenAI-compatible dan Anthropic.
Via OpenAI Compatible:
Base URL : https://divproxy.my.id/v1
API Key : divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model ID : qwen3.6-plus
Via Anthropic (recommended untuk agentic + thinking):
Base URL : https://divproxy.my.id/anthropic
API Key : divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
Model ID : qwen3.6-plus
Mode Anthropic dukung extended thinking, tool use, vision native.
Terminal AI coding assistant. Pakai flag --openai-api-base dan --model:
aider \
--openai-api-key "divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
--openai-api-base "https://divproxy.my.id/v1" \
--model "openai/qwen3.6-plus"
Atau lewat env, tambahkan ke .bashrc atau .zshrc:
export OPENAI_API_KEY="divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
export OPENAI_API_BASE="https://divproxy.my.id/v1"
aider --model openai/qwen3.6-plus
curl https://divproxy.my.id/anthropic/v1/messages \
-H "x-api-key: divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx" \
-H "anthropic-version: 2023-06-01" \
-H "Content-Type: application/json" \
-d '{
"model": "qwen3.6-plus",
"max_tokens": 1024,
"messages": [{"role": "user", "content": "Halo!"}]
}'
$payload = [
"model" => "qwen3.6-plus",
"messages" => [["role" => "user", "content" => "Halo!"]],
];
$ch = curl_init("https://divproxy.my.id/v1/chat/completions");
curl_setopt_array($ch, [
CURLOPT_POST => true,
CURLOPT_HTTPHEADER => [
"Authorization: Bearer divproxy-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"Content-Type: application/json",
],
CURLOPT_POSTFIELDS => json_encode($payload),
CURLOPT_RETURNTRANSFER => true,
]);
echo curl_exec($ch);
Set stream: true, response keluar token demi token via Server-Sent Events.
{
"model": "qwen3.6-plus",
"stream": true,
"enable_thinking": true,
"messages": [{"role": "user", "content": "Tulis pantun pendek"}]
}
Penting: untuk saat ini model vision adalah qwen3.6-plus dan qwen3.6-plus-2026-04-02. Model lain text-only - kalau dikirim gambar akan ditolak. Bisa kirim gambar via URL atau base64. Bisa digabung thinking mode.
response = client.chat.completions.create(
model="qwen3.6-plus",
messages=[{
"role": "user",
"content": [
{"type": "text", "text": "Jelaskan isi gambar ini."},
{"type": "image_url", "image_url": {"url": "https://example.com/image.jpg"}}
]
}],
extra_body={"enable_thinking": True}
)
Semua model bisa diakses via parameter "model" di request body. Contoh: "model": "qwen3.7-max".
Flagship reasoning. Text-only.
Versi maximum Qwen 3.7 untuk problem solving kompleks dan agentic coding tingkat lanjut. Tidak menerima input gambar.
Default model. Vision support.
Model utama untuk chat, vision, thinking, dan tool use. 1M context window. Menerima input gambar.
Reasoning + coding flagship.
DeepSeek V4 Pro untuk reasoning panjang, math, dan coding. Cocok buat refactor besar dan analisis algoritma. Text-only.
Cepat untuk request volume tinggi.
Versi flash DeepSeek V4. Latensi rendah dengan trade-off kualitas, pas buat chatbot dan automation harian. Text-only.
General reasoning dari Zhipu.
GLM 5.1 dari Zhipu AI. Model general-purpose untuk reasoning, chat, dan text generation. Text-only.
Advanced reasoning dari Zhipu.
GLM 5.2 flagship dari Zhipu AI. Model reasoning terbaru dengan peningkatan performa untuk analisis logis, matematika, dan programming. Text-only.
Long context specialist.
Kimi K2.5 dari Moonshot AI. Kuat di pemrosesan dokumen panjang dan analisis teks. Text-only.
Next-gen long context & coding & reasoning.
Kimi K2.7 Code flagship dari Moonshot AI. Performa logika, pemrosesan dokumen panjang, dan coding assistant yang lebih handal. Text-only.
Limited Edition.
MiMo V2.5 Pro via XiaomiMiMo. Model Limited Edition; request tetap memotong kuota DivProxy. Kalau provider sedang rate-limit, tunggu cooldown/tersedia lagi. Text-only.
Snapshot stable build 20 Mei 2026.
Versi pinned Qwen 3.7 Max. Hasil reproducible untuk benchmark atau testing. Text-only.
Snapshot stable build 2 April 2026. Vision support.
Versi pinned Qwen 3.6 Plus dengan vision. Hasil reproducible untuk testing. Menerima input gambar.
Stable production workhorse.
Qwen 3.5 Plus untuk workload production yang butuh stabilitas. Text-only, latensi rendah.
Snapshot stable build 15 Februari 2026.
Versi pinned Qwen 3.5 Plus. Hasil reproducible untuk testing. Text-only.
Snapshot stable build 23 September 2025.
Versi pinned Qwen 3 Max. Legacy model dengan hasil reproducible. Text-only.
| Code | Arti | Solusi |
|---|---|---|
| 401 | API key salah atau tidak ada | Pakai header Authorization: Bearer divproxy-... |
| 402 | Paket sudah expired | Beli ulang atau upgrade paket di console |
| 429 | Quota atau rate limit habis | Tunggu reset atau upgrade paket |
| 503 | Maintenance | Coba lagi setelah admin selesai maintenance |