Models & Pricing
Select the right level of intelligence for your agents from a diverse range of state-of-the-art AI models.
This guide outlines the available models, their credit costs, and how consumption is calculated in SVAHNAR.
💎 Available Models​
The following models are available for immediate use in your agent configurations.
| Provider | Model Name (Config ID) | Credits Per Run |
|---|---|---|
| OpenAI | gpt-4o-mini | 1 |
gpt-4o | 15 | |
GPT-5-nano | 1 | |
GPT-5-mini | 3 | |
GPT-5 | 15 | |
| LLaMA | Llama 3.1 8B instruct | 1 |
Llama 3.3 70B instruct | 2 | |
| Deepseek | Deepseek - Qwen-2.5-32B | 2 |
Deepseek - LLama70B | 3 | |
| Qwen | Qwen QwQ 32B (Preview) | 1 |
Qwen 2.5 32B Instruct 128k | 3 | |
Qwen 2.5 Coder 32B Instruct 128k | 3 |
Need custom solutions? Enterprise customers can contact sales for access to fine-tuned models or custom deployments.
📚 Practical Recipes​
Setting the Model in Config​
To use a specific model, copy the Model Name from the table above and paste it into the model parameter of your YAML configuration.
Use Case: Configuring an agent to use a cost-effective model for simple tasks.
create_agent_network:
agent-1:
agent_name: simple_task_agent
LLM_config:
params:
# Paste the Model Name here
model: gpt-4o-mini
tools: []
agent_function:
- Reply to the user's greeting.
💡 Core Concepts​
Before selecting a model, it is important to understand how SVAHNAR calculates usage.
1. What is a "Run"?​
In a multi-agent network, pricing is calculated based on Runs. A Run occurs whenever an agent is triggered to perform a task or participate in a conversation.
2. How are credits consumed?​
Credits are deducted strictly on a pay-per-run basis.
- If an agent uses gpt-4o-mini, 1 credit is deducted for that turn.
- If an agent uses GPT-5, 15 credits are deducted for that turn.
In a complex workflow where multiple agents interact, the total cost is the sum of the credits required for each agent's individual participation.