ImageMining (ImageMining)

A multimodal retrieval and extraction benchmark over image-heavy task settings.

Top Models on ImageMining — March 2026

As of March 2026, GLM-5V-Turbo leads the ImageMining leaderboard with 30.7% , followed by Kimi K2.5 (24.4%).

2 modelsMultimodal & GroundedCurrentDisplay onlyUpdated April 1, 2026

About ImageMining

Year

2026

Tasks

Visual retrieval tasks

Format

Image-grounded retrieval and extraction

Difficulty

Multimodal retrieval

BenchLM tracks ImageMining as a display-only reference for visual retrieval and extraction performance.

GLM-5V-Turbo

BenchLM freshness & provenance

Version

ImageMining 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.

Leaderboard (2 models)

#1GLM-5V-Turbo
30.7%
#2Kimi K2.5
24.4%

FAQ

What does ImageMining measure?

A multimodal retrieval and extraction benchmark over image-heavy task settings.

Which model scores highest on ImageMining?

GLM-5V-Turbo by Zhipu AI currently leads with a score of 30.7% on ImageMining.

How many models are evaluated on ImageMining?

2 AI models have been evaluated on ImageMining on BenchLM.

Compare Top Models on ImageMining

Last updated: April 1, 2026 · BenchLM version ImageMining 2026

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