Pricing pages
Model tables, cost notes, cheaper alternatives, source notes, and practical usage recommendations.
Browse pricingPractical AI stack decisions
Choose the right AI tools before the bill surprises you.
StackLens AI helps developers compare LLM API pricing, coding tools, alternatives, limits, and tradeoffs with source-tracked decision pages.
10pricing guides
10comparison pages
1cost calculator
Decision data
Built for engineers comparing real options
Each page is structured around pricing, limits, use cases, tradeoffs, alternatives, and source notes that can be verified against official provider pages.
Comparison pages
Side-by-side API tradeoffs covering model support, developer experience, pricing posture, and when to choose each option.
Browse comparisonsAlternatives pages
Ranked alternatives, cheapest choices, best team fit, switching concerns, and realistic reasons a tool may not be ideal.
Browse alternativesTracked data
Models and tools in the StackLens index
| Name | Type | Pricing posture | Best for |
|---|---|---|---|
| OpenAI API | LLM API | Usage-based token pricing that varies by model, input/output direction, modality, and batch features. | production AI features, multimodal apps, developer tooling, broad ecosystem support |
| Anthropic API | LLM API | Usage-based token pricing with separate rates for input and output tokens across Claude model families. | long document workflows, agentic coding, analysis-heavy tasks, safety-sensitive product teams |
| Cursor | AI coding tool | Seat-based plans with usage limits and access tiers that can change as model vendors update pricing. | individual developers, small product teams, repo-aware coding help, fast codebase edits |
| OpenAI GPT-4o mini | LLM model | $0.15 input / $0.6 output per 1M tokens | low cost, fast responses, good default for routing |
| OpenAI GPT-4o | LLM model | $2.5 input / $10 output per 1M tokens | multimodal capability, balanced quality, broad ecosystem |
| Anthropic Claude Sonnet 4.6 | LLM model | $3 input / $15 output per 1M tokens | long context, coding and writing, careful instruction following |