WhatA real-time benchmarking platform that ranks coding models by tokens-per-second alongside quality metrics, helping developers pick the fastest model that meets their accuracy threshold.
SignalDevelopers using flash and small models explicitly prioritize raw speed over marginal intelligence gains, yet current benchmarks only report accuracy — no standardized speed or latency comparisons exist to help them choose.
Why NowThe explosion of small coding models from Microsoft, Google, and others in 2026 means developers now have dozens of options but no easy way to compare real-world inference speed across providers and hardware.
MarketAI engineering teams and individual developers choosing between models; $500M TAM in developer tooling; Artificial Analysis exists but lacks deep code-specific speed testing.
MoatContinuous benchmarking infrastructure across multiple providers and hardware configs creates a data asset that's expensive to replicate.
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