Salist Labs

API Labs

All models are self-hosted on Salist Labs infrastructure.

Get an API key from @mahanq on Telegram.

OpenAI-compatible API — use any SDK or client that supports OpenAI format.

deepseek v4 flash
Model ID: deepseekv4flash
Context window
1,000,000 tokens
deepseek v4 pro
Model ID: deepseekv4pro
Context window
383,000 tokens
devstral
Model ID: devstral
Context window
256,000 tokens
glm 5.2
Model ID: glm5.2
Context window
1,000,000 tokens
gpt oss 120b
Model ID: gptoss120b
Context window
128,000 tokens
Kimi K2.6
Model ID: kimik2.6
Context window
1,000,000 tokens
magistral medium
Model ID: magistralmedium
Context window
256,000 tokens
mimo v2.5
Model ID: mimov2.5
Context window
1,000,000 tokens
MiniMax M2.7
Model ID: minimaxm2.7
Context window
1,000,000 tokens
MiniMax M3
Model ID: minimaxm3
Context window
1,000,000 tokens
mistral large
Model ID: mistrallarge
Context window
256,000 tokens
nemotron 3 ultra
Model ID: nemotron3ultra
Context window
1,000,000 tokens

How to Use the Salist API

All models listed above are self-hosted you get direct access without third-party dependencies.

The API is fully OpenAI-compatible. You can use it with any OpenAI SDK or client library — just change the base URL and API key.

1. Get your API Key

Contact us on Telegram to get your API key: t.me/mhanq

2. Set Base URL
https://api.slgo.ir/v1
3. Use a Model ID

Model IDs are derived from nicknames: lowercase, no spaces. For example:
deepseekv4flash

4. Make API Calls

Use any OpenAI-compatible SDK or make direct HTTP requests:

curl https://api.slgo.ir/v1/chat/completions \
  -H "Authorization: Bearer salist-YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello!"}],
    "max_tokens": 1024
  }'
5. Python Example (openai SDK)
from openai import OpenAI

client = OpenAI(
    api_key="salist-YOUR_KEY",
    base_url="https://api.slgo.ir/v1"
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

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