@withmartian: We got 46% fewer errors than the single best LLM across the 16 most used benchmarks (TerminalBench, LiveCodeBench, etc)…
Summary
A study demonstrates a 46% error reduction by routing requests across 44 LLMs, optimizing performance on 16 benchmarks like TerminalBench and LiveCodeBench.
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Cached at: 09/03/26, 08:10 PM
We got 46% fewer errors than the single best LLM across the 16 most used benchmarks (TerminalBench, LiveCodeBench, etc).
Here’s how that’s possible and what each model can achieve when used optimally (every benchmarks misses the majority of model capabilities) 👇
Interactive Site: https://aifrontier.withmartian.com Academic Paper: https://arxiv.org/abs/2606.26836
AI Frontier - Martian
Source: https://aifrontier.withmartian.com/ Standard benchmarks measure a single model on a single run, systematically underestimating what AI can actually achieve.
By routing requests across 44 LLMs, we construct a Capability Frontier — the best possible performance at every cost level.
This approach yields an error rate reduction or cost saving at matched SOTA cost and quality respectively.
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