Find the Right AI Model

Answer 3 quick questions and we'll recommend the best LLM for your architecture, budget, and context requirements.

Step 1: What's your primary priority?

2026 Quick Reference: Best AI Models by Workload

Verified production picks across the four most common enterprise LLM deployment patterns.

Agentic Coding & IDE

Claude Sonnet 4.5 / o3

Highest multi-file refactoring accuracy and reliable tool-use loops on SWE-bench Verified.

Best Value Reasoning

DeepSeek R1 / V3.2

Frontier math and code reasoning at 80–90% lower API token cost with prompt caching.

1M–2M Long-Context RAG

Gemini 2.5 Pro / Flash

Native multimodal ingestion for full repositories, legal corpora, and multi-hour video.

Self-Hosted Open-Weights

Llama 4 / Qwen3

Full data residency on vLLM or Ollama with zero per-token third-party API fees.

AI Model Selection & API Cost Optimization FAQ

How does prompt caching in Anthropic API save up to 90% on token costs?+

By configuring cache_control breakpoints with ephemeral type on static system instructions and codebase prefixes, Claude API reduces input pricing from $3.00/1M to $0.30/1M, cutting recurring inference bills by up to 90%.

Which is the cheapest LLM API with function calling and structured JSON output?+

DeepSeek V3 ($0.14/1M input) and Gemini 2.0 Flash ($0.10/1M input) are the most cost-efficient frontier models supporting native function calling and strict JSON schema generation for high-volume pipelines.

How does a tiered LLM routing architecture reduce AI API costs by 70%?+

A tiered architecture routes routine classification and summarization to budget models like Gemini 2.0 Flash or GPT-4o-mini, dynamically escalating complex reasoning tasks to Claude 3.7 Sonnet or o3-mini.

How do you calculate blended token cost for production AI agents?+

Blended token cost combines weighted input prices (accounting for cached vs uncached tokens) and output token generation costs multiplied by your agent typical input-to-output token ratio.

What is the price discount for batch inference versus real-time API calls?+

Major providers like OpenAI and Anthropic offer a 50% discount on standard token rates for asynchronous batch inference jobs processed within a 24-hour turnaround window.

How to use Claude 3.7 Sonnet for full-stack web development?+

Claude 3.7 Sonnet excels at full-stack development by combining architectural refactoring with extended thinking mode, achieving a 70.3% verified score on SWE-bench for autonomous multi-file bug fixing.