Question 1

How do I choose between AI models?

Accepted Answer

Match the model tier to the task complexity. As of May 2026: for hard reasoning use a reasoning-tier model (OpenAI o3, DeepSeek R1, Claude Opus 4 with extended thinking — $10–$15/1M input); for production workloads use a balanced model (Claude Sonnet 4 $3/1M, GPT-4o $2.50/1M, Gemini 2.5 Flash $0.30/1M); for high-volume classification or extraction use a fast model (Claude Haiku 4 $0.25/1M, GPT-4o mini $0.15/1M, Gemini 2.0 Flash $0.10/1M). Combined model routing — sending 80% of traffic to the cheap tier — usually cuts overall spend 60–80% without quality regressions on simple requests.

Question 2

Is Claude better than GPT-4o?

Accepted Answer

They are close enough that the tiebreakers are usually pricing and integration fit. Claude Sonnet 4 wins on nuanced long-form writing, 200K vs 128K context window, and instruction-following on multi-step tasks. GPT-4o wins on native multimodal (image and audio input without external pipelines), a more mature function-calling ecosystem, and slightly lower input price ($2.50/1M vs $3/1M). Pure text? Largely a tie. Multimodal? GPT-4o. Long documents? Claude.

Question 3

What is the cheapest AI model I can use in production?

Accepted Answer

As of May 2026, the budget tier in descending cost order: Llama 3.1 8B ($0.05/1M input), Gemini 1.5 Flash ($0.075/1M), Gemini 2.0 Flash ($0.10/1M), Mistral Small ($0.10/1M), Mistral Nemo ($0.15/1M, symmetric input/output), GPT-4o mini ($0.15/1M), and Claude Haiku 4 ($0.25/1M). For production reliability with broad ecosystem support, GPT-4o mini and Claude Haiku 4 are the safest cheap defaults; for cost-per-capability on long documents, Gemini 2.0 Flash wins outright thanks to its 1M-token context window.

Question 4

When should I pay for a reasoning model?

Accepted Answer

Pay for reasoning (OpenAI o3, DeepSeek R1, o4-mini) when accuracy on hard logic, math, or multi-step coding is worth ~5–10× the per-token cost. As of May 2026, o3 costs $10/1M input vs GPT-4o's $2.50/1M — but on hard reasoning benchmarks o3 routinely closes failure modes that a non-reasoning model cannot solve at any prompt length. DeepSeek R1 ($0.55/1M input) is the cheapest reasoning model and exposes its chain-of-thought, useful for debugging.

Model	Provider	Input / 1M	Output / 1M	Context	Tier
Claude Opus 4	Anthropic	$15.00	$75.00	200K	flagship
OpenAI o3	OpenAI	$10.00	$40.00	200K	reasoning

Claude Opus 4 vs OpenAI o3

Pricing Comparison

Model Breakdown

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