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BenchLM
Data

MMSearch-Plus

We show this table for reference; we do not rank on it.

Data verified

A harder MMSearch variant for multimodal retrieval and grounded tool-use workflows.

Benchmark score on MMSearch-Plus — November 13, 2026

We compile the MMSearch-Plus rows from provider self-reports. Qwen3.7 Plus leads the table at 41.4%. We do not use these results to rank models overall.

1 modelMultimodal & GroundedCurrentDisplay onlyUpdated November 13, 2026

Benchmark score table (1 model)

The one result on this page was reported by the lab that built the model.

Benchmark score results for MMSearch-Plus
RankModel / configurationScoreParameters (B)Open / closed
1Qwen3.7 PlusAlibabaReported by Alibaba
41.4%
Not reportedClosed
  • Lab-reported
  • Benchmark-run
  • Independent
What the labels mean

About MMSearch-Plus

Year

2026

Tasks

Hard multimodal search tasks

Format

Advanced mixed-media retrieval benchmark

Difficulty

Advanced multimodal search

BenchLM tracks MMSearch-Plus as a display-only extension of multimodal search capability.

Freshness and provenance

Version

MMSearch-Plus 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does MMSearch-Plus measure?

A harder MMSearch variant for multimodal retrieval and grounded tool-use workflows.

Which model scores highest on MMSearch-Plus?

Qwen3.7 Plus by Alibaba currently leads with a score of 41.4% on MMSearch-Plus.

How many models are evaluated on MMSearch-Plus?

1 AI models have published results on MMSearch-Plus in the BenchLM catalog.

Last updated: November 13, 2026 · BenchLM version MMSearch-Plus 2026

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