New tests show vision-language models still can't reliably see the fine details
Two 2026 benchmarks argue that high vision-language-model scores are partly a mirage: a 'gated scoring' test that fails a model outright when it misses an essential fact exposes an 8% perception gap between open and proprietary models, while a second

