AI API & Cloud Compute
Cost Simulator
Accurately forecast your monthly LLM API bills, simulate prompt caching savings, and compare database & serverless egress across all frontier providers.
Workload Parameters
Monthly Economics Summary
Disruptive sub-cent pricing at $0.03/1M input and 1.31M token context window.
Ultra-fast lightweight Llama 4 model running with 1.31M context window at 290 tokens/sec.
Upgraded V3 architecture delivering reliable function calling and 163k context.
Ultra-fast 1M context model running at 170 TPS at only $0.15/1M input.
Fast, lightweight model from Mistral with 262k context at only $0.15/1M tokens.
Meta’s frontier Llama 4 flagship model with 1,048,576 token context and complete weights openness.
OpenAI’s fast workhorse model with 1.05M context at an ultra-low $0.20/1M input price.
Sub-second real-time streaming model running at 185 tokens/second with 1M context window.
Updated R1 open reasoning model with expanded 163k context and competitive math performance.
Frontier 1M-context flagship model from DeepSeek delivering frontier parity at $0.66/1M.
Widely deployed open model with 131k context and flat symmetric token pricing.
Specialized 2nd generation developer code model with 262k context and superior syntax precision.
ByteDance’s high-throughput code synthesis engine with 262k context window.
Google’s state-of-the-art 3.7 generation Flash model with 1,048,576 token context and native multimodal reasoning.
Specialized code-focused Grok model offering aggressive $1.00 input / $2.00 output pricing.
Moonshot’s specialized coding intelligence optimized for deep reasoning and long-context codebase understanding.
Compact 5.4 model offering 400k context and fast execution.
Mistral’s flagship model with 262k context, European hosting, and state-of-the-art multilingual fluency.
xAI’s flagship model with 500,000 context window, competitive $2.00/$6.00 pricing, and real-time knowledge.
Alibaba’s frontier 3.8 Max model with 1M context and superior multilingual instruction compliance.
Anthropic’s flagship 5th-generation model with 1,000,000 token context, 90% prompt caching discount, and top SWE-bench benchmarks.
OpenAI’s premier 5.6-generation flagship model with 1.05M context and unified multimodal capabilities.
Advanced reasoning model from OpenAI combining RL thinking tokens with 1.05M token context.
OpenAI’s specialized 5.3 generation developer model fine-tuned on billions of code repositories.
Cohere’s enterprise flagship with verifiable citations and built-in grounding for production RAG.
Established 4.6 generation Sonnet with 1M context and 90% prompt caching discounts.
Anthropic’s highest capability model with 1M context, exceptional nuance, and superior domain comprehension.
Specialized deep reasoning model from Anthropic with 1M context and extensive chain-of-thought verification.
Popular Model Pricing Comparisons
Claude Sonnet 5 vs GPT-5.6 Sol
Comprehensive side-by-side cost simulator, 1M context token economics, prompt caching discounts, and SWE-bench comparison.
GPT-5.3 Codex vs Claude Sonnet 5
Evaluate developer token pricing, repository-level refactoring, and SWE-bench accuracy.
Kimi K2.7 Code vs Devstral 2
Moonshot AI’s specialized developer intelligence vs Mistral’s Devstral 2.
xAI Grok 4.6 vs GPT-5.6 Sol
Real-time search-grounded intelligence against OpenAI’s unified multimodal flagship.
Qwen 3.8 Max vs Claude Sonnet 5
Alibaba’s top multilingual powerhouse against Anthropic’s coding flagship.
DeepSeek V4 Pro vs GPT-5.6 Terra
Evaluate token savings, mathematical benchmark parity, and 1M context chain-of-thought pricing.
GPT-5.6 Luna vs Gemini 3.7 Flash
Battle of the workhorse models: Pricing, 1M context limits, and token calculation.
DeepSeek V4 Flash vs GPT-5.6 Luna
Can DeepSeek V4 Flash ($0.03/1M) beat OpenAI’s fastest intelligence ($0.20/1M)?
Llama 4 Maverick vs GPT-5.6 Luna
Meta’s frontier open model against OpenAI’s lightweight powerhouse.
Claude Opus 5 vs Claude Fable 5
Anthropic’s 1M context synthesis master against its specialized reasoning engine.
Gemini 3.7 Flash vs Claude Sonnet 5
Google’s 150 TPS multimodal leader against Anthropic’s coding champion.
Devstral 2 vs Claude Sonnet 5
Mistral’s dedicated developer model against Anthropic’s flagship coder.
Workload-Specific Cost Estimators
Estimate token usage formulas, system prompt overheads, and vector database query costs for your specific AI product archetype.
RAG Support Chatbot
Retrieval-augmented generation chatbot retrieving 3-5 knowledge base documents per customer query.
Code Generation Assistant
Developer copilot processing active editor buffers, repository file trees, and generating multi-line code diffs.
Autonomous Agent Workflow
Agentic workflows executing multi-step reasoning, API tool execution, web browsing, and self-reflection loops.
Document & PDF Summarizer
Ingesting 30 to 100-page PDF reports, balance sheets, or clinical trials to generate structured summaries.
How to Cut Your AI API Bills by 60% to 90%
Modern LLM billing has evolved far beyond raw token counts. High-performing engineering teams leverage three primary levers to maximize ROI:
- Prompt Prefix Caching: Structure system instructions and tool schemas at the very start of prompts. Anthropic and DeepSeek reduce cached token costs by 90% ($0.20/1M vs $2.00/1M on Claude Sonnet 5).
- Model Routing & Tiering: Route simple classification and data extraction queries to ultra-fast sub-dollar models (DeepSeek V4 Flash, GPT-5.6 Luna, Gemini 3.5 Flash Lite), reserving frontier reasoning models (Claude Fable 5, GPT-5.6 Terra) strictly for complex logic.
- Output Token Restraint: Because output tokens are priced 3x-5x higher than input tokens, enforce strict JSON schemas and concise max_tokens constraints.