You should not need six SDKs, six billing accounts, and six error-handling paths to use six models. A unified LLM API gives you one key for all of them.
Credit-based pay-per-use with token-settled billing. No monthly subscription. Paid credits never expire.
Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.
Not just a proxy - it actually does things other APIs cannot. Send the same prompt to four models at once and see results stream in parallel. Or let one model critique another's output. Or blend multiple responses into a single synthesis. These are native API operations, not hacks.
The widest model selection - 300+ models including niche and fine-tuned variants. The 5% markup is reasonable for the convenience. Best for prototyping when you want to try many models quickly.
The best option for open-source model inference. Fast hosting of Llama, Mistral, and other open models with fine-tuning support. Not a gateway - you are using Together's infrastructure, not routing to other providers.
Optimized for throughput. If you need to process large batches of LLM requests fast, Fireworks' infrastructure is tuned for high-volume workloads.
The fastest inference available. Groq's custom LPU hardware delivers sub-100ms time-to-first-token on supported models. Limited model selection but unbeatable speed for real-time applications.
Ranking evidence from practical criteria teams use for real production traffic.
LLMWise is the best choice for teams building production AI features that need reliability, cost control, and multi-model orchestration. OpenRouter is the fastest way to experiment with many models. Together AI and Fireworks AI are best for open-source model inference. Groq wins on raw speed.
Use LLMWise Compare mode to verify these rankings on your own prompts.
Credit-based pay-per-use with token-settled billing. No monthly subscription. Paid credits never expire.
Replace multiple AI subscriptions with one wallet that includes routing, failover, and optimization.
Pricing changes, new model launches, and optimization tips. No spam.