Intercom’s new post-trained Fin Apex 1.0 beats GPT-5.4 and Claude Sonnet 4.6 at customer service resolutions
Intercom is taking an unusual gamble for a legacy software company: building its own AI model. The 15-year-old massive customer service platform announced Fin Apex 1.0 on Thursday, a small, purpose-built AI model that the company claims outperforms leading frontier models from OpenAI and Anthropic on the metrics that matter most for customer support. The model powers Intercom’s existing Fin AI agent, which already handles over two million customer conversations weekly. According to benchmarks shared with VentureBeat, Fin Apex 1.0 achieves a 73.1% resolution rate—the percentage of customer issues fully resolved without human intervention—compared to 71.1% for both GPT-5.4 and Claude Opus 4.5, and 69.6% for Claude Sonnet 4.6. That roughly 2 percentage point margin may sound modest, but it’s wider than the typical gap between successive generations of frontier models. Fin Apex 1.0 select benchmarks comparison chart. Credit: Intercom “If you’re running large service operations at scale and you’ve got 10 million customers or a billion dollars in revenue, a delta of 2% or 3% is a really large amount of customers and interactions …









