The most accurate AI in existence.

Other AIs give you one guess. Sup draws from 348 models to answer in parallel, scores every claim based on confidence, and synthesizes a mathematically verified answer. #1 on Humanity’s Last Exam by a 7-point lead.

Free forever, no limits One subscription, every model Every claim mathematically verified

52.15%
HLE accuracy
+7.41%
Lead vs next best
348
Active models

Proven Accuracy

#1 on the hardest AI benchmark

Humanity's Last Exam is 2,500 expert-written questions designed to keep getting harder as AI improves. Sup beats every frontier model, and our results are fully reproducible. See the white paper.

Model Accuracy ↑ Cal. Error
Sup AI 52.15% 36.54%
Gemini 3 Pro 44.74% 42%
GPT-5 Pro 39.53% 49%
GPT-5.1 38.23% 50%
Claude Opus 4.5 29.66% 55%
Grok 4 29.05% 58%
DeepSeek V3.2 Thinking 24.13% 55%
Claude Sonnet 4.5 18.11% 65%
Kimi K2 Thinking 17.55% 70%
Gemini 2.5 Pro 16.51% 72%

Accuracy comparison

Sup AI 52.15%
+7.41 point gap
Gemini 3 Pro 44.74%
GPT-5 Pro 39.53%
GPT-5.1 38.23%
Claude Opus 4.5 29.66%

Ensemble beats every individual model

Even with our logprob confidence scoring, the best individual model in our ensemble scores ~45%. The ensemble reaches 52.15%, a 7+ point lead over its own constituent models. It even solves questions that zero individual models answered correctly, by piecing together partially correct fragments from different models and using low confidence scores to identify which pieces to trust.

HLE leader with web search only

All models were evaluated under the same enhanced conditions: custom prompts and web search. No code execution, no calculator, no other tools. Sup AI uses additional tools for everyday use, but the HLE result demonstrates our orchestration with web search alone.

Sup AI achieves 52.15% accuracy with 7+ percentage points ahead of every model in the ensemble (p<0.001).

If you need accurate answers, fewer hallucinations, or research-grade work that must be correct, Sup AI is your only option.

Model Ecosystem

348 models. 57 authors. More than any platform.

Frontier giants and specialized experts, from 7B to multi-trillion parameters. Sup picks the right combination for each question.

Pricing

No limits. Ever. Free forever, better with credits.

No message caps, no weekly quotas, no rate limits. $10 in free credits to start, no card needed. When they run out, keep chatting with our 32 free models. Credits never expire.

How We Stay Accurate

Every claim, mathematically verified.

We score every chunk of every model's response as it's written. Low-confidence chunks get retried. Disagreements trigger a rerun. Only verified content reaches you.

Emergent intelligence

Sometimes every single model in the ensemble returns an incorrect answer. But each wrong answer is wrong in a different way, and each model is uncertain about different parts. Because we track confidence at the chunk level, we can identify the low-confidence fragments in each response, discard them, and piece together the correct answer from the high-confidence fragments that remain. The result is a correct answer that no individual model produced. This is why Sup AI holds a 7+ point lead over every individual model in its own ensemble.

10 GB Uploads. Perfect Memory.

The most thorough search in AI.

No single retrieval technique works best for every query. Keyword search misses semantic meaning. Embedding search misses exact phrases. Visual search misses text. We apply the same ensemble principle to search that we apply to models: run every method in parallel, fuse the results, and let the best answer emerge.

Always Cited

See exactly where every answer comes from

A sources sidebar shows every search, document, and file used to build your response. Everything is verifiable.

Infinite Context

Recursive lossless context compaction

We support 348 models, and our ensemble runs up to 9 in parallel on every query. Some frontier models have 2 million token context windows. Some of the best specialized models have only 8,000. Fitting the same conversation into every model in the ensemble without losing information is a hard problem. We built the best solution.