How is this so much cheaper than the official API?
We optimize infrastructure, batch requests intelligently, and pass the savings directly to you. Same models, same quality, just a better price. See our <a href='/#compare'>cost comparison table</a> for detailed pricing breakdowns vs the official Claude API.
Is the API compatible with my existing code?
Yes. Our API is fully OpenAI compatible. Just change your base URL and API key. Works with LangChain, LlamaIndex, Vercel AI SDK, and any OpenAI client library. Check our <a href='/docs'>API docs</a> for setup guides.
Which models are available?
The free plan includes Haiku 4.5, DeepSeek 3.2, MiniMax M2.1, and Qwen3 Coder. Starter unlocks 8 models including all Sonnet versions. Pro gives you all 10 models including Claude Opus 4.5 and Opus 4.6. See the full list on our <a href='/models'>models page</a>.
Are there rate limits?
Free plan gets 150 total requests with 1 concurrent. Starter gets 5,000 daily with 2 concurrent. Pro gets 5,000 daily with 4 concurrent. All plans include unlimited tokens per request. Compare all plans on our <a href='/pricing'>pricing page</a>.
Can I use this with Claude Code?
Absolutely. Just set ANTHROPIC_BASE_URL to our endpoint and ANTHROPIC_API_KEY to your API key. Works out of the box with Claude Code, Cline, Continue, Aider, Cursor, and other coding agents.
Is my data secure?
We don't store or log your prompts or completions. All traffic is encrypted via TLS. Your data passes through to the model and back, nothing is retained.
Research & References
The claims and data on this site are grounded in publicly available sources. Below are key references for pricing, performance, and AI compute trends.
- [1]Anthropic — Claude Model Pricing. anthropic.com/pricing — Official per-token pricing for Claude Opus, Sonnet, and Haiku models. Used as the baseline for our cost comparison tables.
- [2]OpenAI — API Pricing. openai.com/api/pricing — Reference pricing for GPT-4o and other models. Included for cross-provider cost context.
- [3]Epoch AI — Trends in Machine Learning Hardware. epochai.org/trends-in-machine-learning-hardware — Research on AI compute cost trends showing ~70% year-over-year cost reductions in ML inference hardware.
- [4]NIST — AI Risk Management Framework. nist.gov/artificial-intelligence — U.S. government framework on AI safety and trustworthiness, relevant to our data security practices.
- [5]Stanford HAI — AI Index Report 2025. aiindex.stanford.edu/report — Annual report tracking AI adoption, costs, and performance benchmarks across the industry.
All pricing data was last verified in March 2026. Latency benchmarks are based on internal testing (median TTFB, US-East region). We are not affiliated with Anthropic, OpenAI, or any model provider listed above.
Start for free
Ready to Build with Unlimited Claude?
Join thousands of developers using UnlimitedClaude to power their apps with the best AI models at unbeatable prices.