DevKits

Best Free AI / LLM Developer Tools (2026)

Everything you need to build and ship with large language models — counting tokens, estimating cost, fitting the context window, wrangling JSON output, and generating tool definitions. All client-side, no upload, no signup.

Tools

LLM Token Counter

Count tokens for GPT, Claude, and Gemini and predict cost before you send. Runs locally.

AI API Cost Calculator

Estimate monthly cost across 100+ models with prompt-caching and batch discounts. Prices refreshed daily.

Context Window Checker

See if your prompt fits GPT-4o, o1, Claude, Gemini or DeepSeek before you hit 'context length exceeded'.

Prompt Token Breakdown

Split a prompt into segments and see which part eats the most tokens and cost.

LLM JSON Extractor

Pull every JSON block out of a ChatGPT / Claude reply — fences stripped, errors auto-repaired.

Schema → Tool Definition

Generate OpenAI, Anthropic, and Gemini function-calling definitions from one sample, side by side.

Chat Messages Validator

Validate a Chat Completions messages array — roles, content, and structure — before you hit a 400.

Prompt Template Tester

Fill {{variable}} placeholders in a prompt template and preview the final prompt, with unfilled vars flagged.

Prompt Diff

Compare two prompt versions line by line and see the token delta between them.

Embedding Cost Calculator

Estimate the cost of embedding a corpus across OpenAI, Voyage, Cohere, and Gemini models.

Vector Storage Calculator

Estimate the RAM / disk your embeddings need by count, dimensions, and precision.

Prompt Cache Calculator

See how much prompt caching saves given your prefix size, volume, and hit rate.

Batch API Cost Calculator

Compare real-time vs Batch API cost and the ~50% bulk discount for offline jobs.

Prompt Injection Detector

Scan untrusted input for injection / jailbreak patterns with a heuristic risk score.

Text Chunker for RAG

Split long text into overlapping chunks for embeddings with live token counts.

Cosine Similarity Calculator

Compare embedding vectors with cosine, dot product, and Euclidean distance.

Reference

Why these are the best: Every tool runs entirely in your browser — your prompts, keys, and data never leave your device. Token counts match official tokenizers within ±3%, prices are refreshed daily from the public LiteLLM catalog, and the JSON tools handle the messy real-world output models actually produce.