InterLV-Search: leaderboard
Existing benchmarks for multimodal agentic search evaluate multimodal search and visual browsing, but visual evidence is either confined to the input or treated as an answer endpoint rather than part of an interleaved search trajectory. We introduce InterLV-Search, a benchmark for Interleaved Language-Vision Agentic Search, in which textual and visual evidence is repeatedly used to condi
Metric: Level 3 +Tool Avg (self-reported). Source: benchmarklist.com. Saturation forecast: Around August 2027. 8 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 46.46 | #58 |
| 2 | GPT-5.4 | 44.25 | #79 |
| 3 | Claude Sonnet 4.6 | 40.65 | #90 |
| 4 | Qwen 3.6 Plus | 37.51 | #120 |
| 5 | GPT-5 | 35.19 | #98 |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=interlv-search · How It Works · Data refreshed daily, snapshot 2026-10-20.