ModelProviderBest for
autoDecisionalAutomatically selects the most appropriate model based on query requirements
claude-3.5-sonnetAnthropicConversational tasks, summarization, and natural language generation.- Scenarios requiring balanced performance and clarity.
llama-v3-70bMetaFastest model with strong performance for high-volume queries.- Ideal for applications needing lower latency and an open-source foundation (hosted on Groq).
llama-4-scoutMetaEfficient processing while maintaining strong performance - Ideal for deployments where resources are limited but quality can’t be compromised.
llama-4-maverickMetaHigh-performance model that outperforms GPT-4o and Gemini 2.0 on various benchmarks - Best for complex tasks requiring advanced capabilities with its 400B total parameters (17B active). Requires more than a single GPU.
gemini-2.5GoogleLong context processing with multimodal capabilities - Excels at handling complex reasoning tasks with a massive 1 million token context window (expanding to 2 million). Particularly strong at mathematical reasoning, scientific problem-solving, and advanced coding applications where deep reasoning is required.
o1OpenAIDeep reasoning for highly complex workflows or queries.- when combined with advanced_reasoning it will deliver the most thorough analysis.
o3-miniOpenAILightweight, cost-effective model for simpler queries.- Good for prototyping or quick interactions where complexity is minimal.
gpt-4.1OpenAISimple tasks requiring basic language understanding.- Strong general-purpose performance
gpt-5OpenAIState-of-the-art reasoning, coding, and multimodal understanding. Use when you need maximum quality and the latest OpenAI capabilities.
Decisional offers multiple AI models with varying capabilities and performance profiles. You can rely on the default auto setting or explicitly choose a model to tailor performance, speed, and cost to your requirements.

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Default

  • Let Decisional automatically choose the best-suited model based on your query. This is recommended if you’re unsure which model fits your use case or want a balanced approach without manually tuning.

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Warning

Combining reasoning models with advanced reasoning: model = "o1", advanced_reasoning = true Higher-level models with advanced reasoning can significantly slow down response times. Use this combo only when you need the deepest analysis possible.

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Selecting a Model

You can specify which model to use when making a query by including the model parameter in your request: Query API Example 
curl -X POST https://api.getdecisional.ai/api/v1/knowledge-engines/{id}/query \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "query": "Complex analysis question?",
  "advanced_reasoning": true,
  "model": "llama-v3-70b"
}'
Workflow API Example 
curl -X POST https://api.getdecisional.ai/api/v1/workflows \
-H 'Authorization: Bearer YOUR_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
  "value": {
    "name": "Analysis Workflow",
    "query": "Comprehensive analysis of revenue growth over past 5 years?",
    "advanced_reasoning": true,
    "model": "o1"
  }
}'