Backed by Y Combinator
Run open models at the lowest cost and latency, with APIs that work with your existing stack.
Continuously optimized for higher quality, lower cost, and faster responses.
Models customized for your business, with quality, latency, and cost optimized around your workload.
Isoquant raised banking intent accuracy from 74.7% to 91.8%, while cutting inference cost by 91.7%.
Read the case study : Banking intent classificationGPT-5.4 mini’s coding success, matched by Isoquant-optimized GPT-5.4 nano.
Isoquant-optimized GPT-5.4 nano beat GPT-5.4 mini’s accuracy at 40.9% lower cost.
Isoquant-optimized Qwen3.6-35B-A3B achieved 6.2× GPT-5.4 mini’s task success rate.
GPU engineering and performance optimization across the inference stack.
Execution tuned to the architecture of each model.
More useful work through kernel and memory engineering.
A faster path from computation to generated tokens.
Serving engineered for long context and concurrent traffic.
Optimized inference at the lowest prices in the market.
$0.07
USD / 1M tokens$0.20
USD / 1M tokens$0.014
USD / 1M tokensSources: Isoquant’s AgentX benchmark and OpenRouter · September 21, 2026.
