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Model Selection

Choose the right AI model for your use case. OpenAI, Anthropic, open-source, and custom fine-tuning options evaluated for your needs.

Choosing the Right Model

The AI model landscape is complex and evolving rapidly. GPT-4, Claude, Llama, Mistral—each has strengths and trade-offs. We help you navigate these choices with rigorous evaluation based on your specific requirements.

Model selection isn't just about capability—it's about cost, latency, privacy, and long-term sustainability. We consider all factors to recommend the approach that best serves your business goals.

Evaluation Criteria

  • Accuracy — Task-specific performance benchmarks on your data
  • Cost — API pricing, hosting costs, and total cost of ownership
  • Latency — Response time requirements for your use case
  • Privacy — Data handling, on-premises options, and compliance
  • Context Length — Token limits for your document processing needs
  • Fine-tuning — Customization options for domain-specific performance
20+Models Evaluated
100+Benchmarks Run
60%Cost Savings Found
Options

Model Categories

🧠

Frontier Models

GPT-4, Claude 3 Opus for maximum capability. Best for complex reasoning and high-stakes applications.

⚡

Cost-Efficient Models

GPT-3.5, Claude Haiku for high-volume, lower-complexity tasks at a fraction of the cost.

🏠

Open-Source Models

Llama, Mistral for on-premises deployment, complete data privacy, and no per-token costs.

🎯

Fine-Tuned Models

Custom models trained on your data for domain-specific accuracy and consistent outputs.

Need Help Choosing?

Let's evaluate the options for your specific use case and find the optimal approach.

Model EvaluationAI Solutions