Lower your OpenAI cost. And every other provider.
Tokani cuts your OpenAI bill 30–60% — and the same applies to Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex, Groq, DeepSeek, Mistral, Perplexity, OpenRouter, Cerebras, Together, Fireworks, xAI, AI21, plus self-hosted (vLLM, Ollama, NIM, Databricks). One platform, every provider.
Why teams pick Tokani over single-provider tricks
Most AI cost advice is provider-specific: "use the new OpenAI prompt caching", "switch to Claude Haiku", "batch your Bedrock calls". Each tip is a one-off and only works on one provider. The moment your workload grows, you're juggling four optimization strategies in four code paths.
Tokani applies one approach across all your providers. Whatever your stack — single-provider, multi-provider, or self-hosted — your bill drops without per-provider engineering.
What changes — and what doesn't
| Before Tokani | After Tokani | |
|---|---|---|
| Models you call | Whatever you use today | Identical |
| Prompts you send | Whatever you send today | Identical |
| Output to your users | Whatever you ship today | Identical |
| Code path | Direct calls to providers | One endpoint URL changes |
| Monthly invoice | What you pay today | 30–60% lower |