@AlphaSignalAI: You can now boost any LLM's accuracy 2-10x without training it. Most teams improve model accuracy by fine-tuning or swa…
Summary
OptiLLM is an open-source proxy that boosts any LLM's accuracy 2-10x by adding extra compute at inference time, using techniques like multi-agent cross-verification and Monte Carlo tree search.
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Cached at: 05/25/26, 04:44 AM
You can now boost any LLM’s accuracy 2-10x without training it.
Most teams improve model accuracy by fine-tuning or swapping to a bigger model.
Both cost time and money.
OptiLLM takes a different route.
It is an open-source proxy that sits between your app and any OpenAI-compatible API.
Instead of training, it spends extra compute at inference time to think harder before answering.
The repo bundles 20+ reasoning techniques you can switch on with one parameter.
A few of the methods inside:
Multi-agent cross-verification Monte Carlo tree search Chain-of-thought with reflection Best-of-N sampling Z3 theorem prover routing
The numbers are the headline.
On AIME 2025, Gemini 2.5 Flash Lite jumps from 43.3% to 73.3% accuracy.
Llama 3.3 70B gains 18.6 points on Math-L5.
GPT-4o-mini matches GPT-4 on Arena-Hard-Auto.
No retraining. Just route your calls through the proxy.
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