Martian's model router cuts errors 46% vs best single LLM across 16 benchmarks, ICLR oral
minchoi · x · 2026-09-04
Martian shows that routing each task to the right model beats locking into one "best" LLM: 46% fewer errors than the single best model across 16 popular benchmarks (TerminalBench, LiveCodeBench, etc.), backed by an ICLR 2026 oral. Key insight: quoted token pricing is a poor predictor of real cost—some models charge more and think less, others charge less and burn tokens. Every benchmark misses the majority of each model's capabilities.
Related event: Martian's AI Frontier: Model Routing Cuts Error Rates at Same Cost(6 posts)→
More from Models
- Every's Vibe Check: GPT-6 Astra Is a Big Upgrade, but Anthropic's Fable Still Has Better Product Instincts — every · 2026-09-04
- GPT-6 Astra Nukes ARC-AGI-3: Score Jumps from 8% to 63%, 98.6% with Adapter — haider1 · 2026-09-04
- Sam Altman Officially Launches GPT-6 Astra, Claiming Best-in-World Computer Use and Coding — eyishazyer · 2026-09-04
- OpenAI claims GPT-6 Astra SOTA on FrontierMath Tier 4, ARC-AGI 3, TerminalBench-4.0 — dair_ai · 2026-09-04
- Five releases in 48 hours: GPT-6 Astra, Fable 5.1, Gemini 3.8 Flash and more — dr_cintas · 2026-09-04
- Matthew Bellerman Tests GPT-6 Astra Early: 'The Best Model I've Ever Used, Period' — every · 2026-09-04