Eliminate token bloat, prevent indirect prompt injections, and engineer deterministic LLM outputs. Zero npm dependencies, 100% client-side privacy.
Calculate accurate Byte-Pair Encoding (BPE) subword tokens across OpenAI, Anthropic, Gemini, and open-source models with real-time enterprise API cost modeling.
Purge zero-width Unicode injection vectors, strip redundant carriage returns, normalize markdown tabs, and wrap payloads into tamper-resistant XML envelopes.
Construct high-steerability system prompts using the Role-Task-Format framework. Enforces deterministic schema outputs and eliminates stochastic hallucinations.
| Model Provider & Architecture | Input Price / 1M | Output Price / 1M | Context Window | Recommended Enterprise Use |
|---|---|---|---|---|
| OpenAI GPT-4o | $2.50 | $10.00 | 128,000 tokens | Complex reasoning, multimodal vision, coding workflows |
| OpenAI GPT-4o-mini | $0.15 | $0.60 | 128,000 tokens | High-throughput classification, data extraction, triage |
| Anthropic Claude 3.5 Sonnet | $3.00 | $15.00 | 200,000 tokens | Architecture design, deep code generation, agentic loops |
| Google Gemini 1.5 Pro | $1.25 | $5.00 | 2,000,000 tokens | Massive repository context, technical book analysis |
| Google Gemini 1.5 Flash | $0.075 | $0.30 | 1,000,000 tokens | Ultra-fast RAG summarization, high-concurrency bots |
| DeepSeek V3 | $0.14 | $0.28 | 64,000 tokens | Cost-optimized batch processing, open inference scaling |
Learn how top engineering teams slash production AI bills by 60% through prompt compression, BPE token alignment, and intelligent context caching.
Master the Role-Task-Format (RTF) engineering architecture to eradicate model hallucination and enforce predictable machine-readable outputs.
An in-depth analysis of indirect prompt injection vectors, delimiter escaping, and multi-layered defense architectures for production AI APIs.
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