Martian routes across 44 LLMs, cutting errors 46% vs the best single model
HowDevelop · x · 2026-09-07
Martian's AI Frontier argues "which model to use" is becoming a routing problem, not a benchmark question.
- Standard benchmarks measure a single model on a single run, systematically underestimating AI capability — every benchmark misses most models' strengths
- By routing requests across 44 LLMs they construct a "Capability Frontier": the best possible performance at every cost level
- Result: 46% fewer errors than the single best LLM across the 16 most-used benchmarks (TerminalBench, LiveCodeBench, etc.), or higher quality at matched cost
- Interactive site and paper released; key takeaway is no single model dominates everything — quality, reliability, real cost and cross-task performance all matter
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