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Language Models Overview

BrilliantAI offers a variety of state-of-the-art language models for different use cases. Our models are designed to provide excellent performance while being cost-effective.

Available Models​

DeepSeek-R1​

  • Parameters: 380B
  • Context Length: 128K tokens
  • Pricing: $0.0/1M tokens
  • Best for: Advanced reasoning, complex problem-solving, and tasks requiring deep analytical thinking

llama-3.3-70b​

  • Parameters: 70B
  • Context Length: 8K tokens
  • Best for: Production applications requiring high-quality outputs and strong reasoning capabilities

llama-3.2-8b​

  • Parameters: 8B
  • Context Length: 8K tokens
  • Best for: Cost-effective deployments with good performance on general tasks

mistral-nemo​

  • Parameters: 12B
  • Context Length: 8K tokens
  • Best for: General-purpose text generation with excellent quality-to-cost ratio

Model Selection Guide​

When choosing a model, consider:

  1. Task Complexity: More complex tasks generally benefit from larger models
  2. Budget Constraints: Smaller models offer lower costs with reasonable quality
  3. Latency Requirements: Smaller models typically have lower inference latency
  4. Context Length Needs: Consider how much context your application requires

For more details on specific use cases, see the LLM Inference documentation.

Getting Started​

To start using our language models, check out: