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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
Match Your Needs to the Right Model
With dozens of LLMs available, choosing the right one is overwhelming. This wizard narrows down the best options based on your use case, performance requirements, privacy constraints, and budget.
The LLM Selection Wizard compares models across OpenAI, Anthropic, Google, Meta, and Mistral. It scores each model against your requirements for use case fit, latency, privacy, budget, and accuracy, then recommends the top 3 with trade-offs.
Configure your requirements below to get a personalized estimate.
Define what you want the LLM to do.
Set latency and privacy constraints.
Define your volume and spending limits.
Different models excel at different tasks — code, analysis, creative, multimodal.
Real-time applications need smaller, faster models. Batch processing can use larger models.
Local-only requirements limit you to open-source models with WebGPU or self-hosting.
High volume shifts the economics toward smaller, cheaper models or self-hosting.
High accuracy, moderate latency, cloud OK, medium budget
Dev Cost
$200–$800/month
Timeline
2–4 weeks
Monthly
$200–$800
Maximum accuracy, relaxed latency, private preferred
Dev Cost
$500–$2,000/month
Timeline
4–8 weeks
Monthly
$500–$2,000
LLM costs scale with volume. Choose the right model tier for each task.
| Cost Item | Range | Notes |
|---|---|---|
| Input tokens | $0.15–$15 per 1M tokens | Varies dramatically by model |
| Output tokens | $0.60–$75 per 1M tokens | Output is typically 3–5x more expensive |
| Self-hosting | $200–$2K/month | GPU costs for local inference |
An App Corp engineer will recommend the optimal LLM strategy for your specific use case and constraints.