# MMSearch

> A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.

Canonical page: https://benchlm.ai/benchmarks/mmsearch

- Category: [Multimodal & Grounded](/multimodal-grounded)
- Last updated: September 27, 2026

## About MMSearch

- Year: 2026
- Tasks: Multimodal search tasks
- Format: Mixed-media retrieval and grounded answering
- Difficulty: Multimodal search
- Paper: [GLM-5V-Turbo](https://docs.z.ai/guides/vlm/glm-5v-turbo)

BenchLM stores MMSearch as a display-only benchmark because it is not yet part of the weighted core schema.

MMSearch is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (0 models)

Benchmark data for this page is coming soon.

## FAQ

### What does MMSearch measure?

A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.

### Which model scores highest on MMSearch?

No models have been evaluated on MMSearch yet.

### How many models are evaluated on MMSearch?

0 AI models have been evaluated on MMSearch on BenchLM.

### Does MMSearch affect BenchLM's overall score?

Not directly. MMSearch is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.