MultiLLM
One prompt. Multiple LLMs.The best answer, automatically selected.
Try a quick prompt:
Why MultiLLM?
Single models hallucinate. Ensembles don't. We run your prompt across multiple providers and score every response.
Ensemble Intelligence
Run one prompt across OpenAI, Gemini, Mistral, and local models simultaneously
Automatic Best Selection
Source-grounded scoring picks the most accurate, least biased answer every time
Multi-Provider Redundancy
If one provider fails, the ensemble continues. No single point of failure.
How It Works
Transparent ensemble pipeline — you see every candidate, every score, every source.
Parallel Query
Your prompt sent to all configured providers at once
Source Retrieval
Relevant docs fetched per provider for grounding
Multi-Dimensional Scoring
Source support, bias detection, clarity scored per candidate
Best Answer Returned
Highest-scoring response delivered with full traceability
Tested, honestly
91/91 unit tests passing, and a from-scratch-trained scoring model with 0.006 avg. error — plus the parts that didn't come out great, unedited.
See the real numbersStop Guessing. Start Ensembling.
Get better answers by running every prompt across multiple LLMs and automatically selecting the best one.
Try MultiLLM FreeFree to try, no account needed. Looking at Pro or Enterprise? See pricing.