Compare 500+ LLM API prices across direct APIs and endpoints, calculate monthly costs
AI-driven research for crypto and U.S. equities with licensed market data and transparent methodology
Stage
Not given
Not given
Founded
Not given
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Based in
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US
Pricing model
Free
Freemium
Pricing
Not given
Freelancer: $0/mo (500 credits at sign-up, up to 1,000 once you verify); Space Analyst: $19/mo (1,500 credits/month); Galactic Merchant: $39/mo (4,000 credits/month); Interstellar Financier: $79/mo (10,000 credits/month); Patron of Science: $199/mo (30,000 credits/month)
Key features
Compare 500 price listings across 383 model identities
Monthly workload cost calculator with caching and batch billing
Source-labeled pricing from direct APIs and endpoints
Find cheaper model alternatives with technical requirements filter
Compare up to four models side-by-side with same workload
Endpoint preference options: direct API, Groq, Together AI, Cerebras, OpenRouter
Model creator filtering across 58 creators
Price history and daily updates
Model pages with capabilities and source-backed details
Technical analysis examining price, volume, momentum, trend and volatility
Fundamental analysis of tokenomics, protocol revenue and equity financials
News and sentiment analysis across markets
On-chain data analysis and whale activity tracking
Derivatives and volatility research with options analysis
Portfolio tracking with account and wallet connections
SAGE research assistant with plain-language summaries
Educational classroom features with gradebook and tests
What makes it different
Source-labeled pricing prevents hidden markup by identifying direct vs third-party prices
Independent and unaffiliated with OpenAI, Anthropic, Google, or other providers
Automated updates validated before publication to ensure data accuracy
Normalizes prices into consistent per-one-million-token format for fair comparison
Separate display of direct prices from third-party endpoint pricing
Every figure is computed from licensed market data and traceable to its source
Deterministic methods that return the same result every time for reproducibility
Transparent confidence levels and stated limitations on every report
User maintains full control with no money management or trade execution by the platform
AI integrates into existing assistants like ChatGPT rather than requiring a separate tool
LLMPrice