Token counter
Count prompt tokens, preview chunks, and estimate LLM input cost before sending text to an API.
Open token counterPractical AI stack decisions
Count tokens, estimate API costs, and compare AI tools.
Use source-tracked pricing pages, token counters, and comparison guides to choose AI models and coding tools with less guesswork.
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Model tables, cost notes, cheaper alternatives, source notes, and practical usage recommendations.
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Side-by-side API tradeoffs covering model support, developer experience, pricing posture, and when to choose each option.
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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 | Hobby is Free, Individual Pro is $20/month, Teams is $40/user/month, and Enterprise is custom; verify current limits before purchase. | 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 |