Replit Releases ViBench 2.0: Top Models Pass Only 49-65% of Long-Horizon Software Builds
·2026.10.29 03:50
Key point
The benchmark tests agents building 17 products from scratch, with top models failing on feature intersections and schema errors.
Details
- Replit released ViBench 2.0, a benchmark for long-horizon software development where agents build entire products one feature at a time, starting from an empty project.
- GPT-6.1 Sol leads with a 65% pass@1 rate, followed by GPT-6 Astra at 60% and Opus 5.5 at 49%; all three pass over 90% of individual test plans.
- The benchmark includes 17 products, 241 feature requests, and 544 test plans, with eight products public on GitHub in the Harbor format.
- Primary failure modes include schema errors where code references tables before creation and breaks at feature intersections, such as undo history conflicts or concurrency issues.
- GPT-6.1 Sol costs approximately $12 per build, while GPT-6 Astra costs about $90; DeepSeek V4.1 Flash passes 77% of test plans for $2.50 but fails full builds.
- Opus 5.5 serves as the grader, confirmed accurate by GPT-6.1 Sol re-grading 477 passes with 99.2% confirmation and no bias toward Claude models.
- Scores improve across GPT generations, rising from 0% for GPT-5.4 to 53% for GPT-6.1 Sol on public products, with plan pass rates climbing from 42% to 95%.
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