Basic Request
All text models use the same endpoint with an OpenAI-compatible message format:
import requests
response = requests.post(
"https://neuralbox.top/api/v2/generate",
headers={"Authorization": "Bearer nb_YOUR_API_KEY"},
json={
"model": "gpt-5",
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain quantum computing in simple terms."}
]
}
)
print(response.json()["content"])
Choosing the Right Model
| Task | Recommended model | Cost |
|---|
| Quick Q&A, drafts | gpt-5-nano, claude-haiku-4.5 | 1 token (Starter) |
| Fast reasoning | deepseek-r1 | 1 token |
| Code generation | gpt-5, deepseek-r1 | 1–2 tokens |
| Long documents, analysis | claude-sonnet-4.5 | 4 tokens |
| Complex reasoning | claude-opus-4.5 | 6 tokens |
| Creative writing | gpt-5, gpt-5.2 | 2–4 tokens |
| Multilingual | gemini-3-pro | 3 tokens |
Starter models (gpt-5-nano, claude-haiku-4.5, gemini-2.5-flash, deepseek-v3, grok-4-fast) are available without a subscription. Switch to paid models when you need higher quality.
Full Model Reference
| Slug | Name | Tier | Tokens |
|---|
gpt-5-nano | GPT-5 Nano | Starter | 1 |
claude-haiku-4.5 | Claude Haiku 4.5 | Starter | 1 |
gemini-2.5-flash | Gemini 2.5 Flash | Starter | 1 |
deepseek-v3 | DeepSeek V3 Chat | Starter | 1 |
grok-4-fast | Grok 4 Fast | Starter | 1 |
gpt-5 | GPT-5 | Basic+ | 2 |
deepseek-r1 | DeepSeek R1 | Basic+ | 1 |
gpt-5.2 | GPT-5.2 | Basic+ | 4 |
claude-sonnet-4.5 | Claude Sonnet 4.5 | Basic+ | 4 |
gemini-3-pro | Gemini 3 Pro | Basic+ | 3 |
claude-opus-4.5 | Claude Opus 4.5 | Basic+ | 6 |
gpt-5.2-pro | GPT-5.2 Pro | Basic+ | 39 |
System Prompts
Use the system role to set context and behaviour for the model:
messages = [
{
"role": "system",
"content": "You are a professional copywriter. Write in a concise, engaging style. Always respond in the same language as the user."
},
{
"role": "user",
"content": "Write a tagline for a project management app."
}
]
Multi-turn Conversations
Pass the full conversation history in the messages array:
messages = [
{"role": "user", "content": "What is the capital of France?"},
{"role": "assistant", "content": "The capital of France is Paris."},
{"role": "user", "content": "What's the population there?"}
]
Streaming
Add "stream": true to receive tokens as they’re generated:
response = requests.post(
"https://neuralbox.top/api/v2/generate/stream",
headers={"Authorization": "Bearer nb_YOUR_API_KEY"},
json={
"model": "claude-sonnet-4.5",
"messages": [{"role": "user", "content": "Write a short story."}],
"stream": True
},
stream=True
)
for line in response.iter_lines():
if line:
print(line.decode())
Parameters Reference
| Parameter | Type | Default | Description |
|---|
model | string | required | Model slug |
messages | array | required | Conversation history |
max_tokens | integer | model default | Maximum tokens in response |
temperature | float | 1.0 | Creativity (0 = deterministic, 2 = very creative) |
stream | boolean | false | Enable streaming |
{
"id": "gen_01j9x2abc123",
"status": "completed",
"type": "text",
"model": "gpt-5",
"content": "Quantum computing uses quantum bits (qubits)...",
"tokens_used": 2,
"balance_remaining": 298,
"created_at": "2026-03-01T12:00:00Z"
}
