A harder MMSearch variant for multimodal retrieval and grounded tool-use workflows.
As of March 2026, GLM-5V-Turbo leads the MMSearch-Plus leaderboard with 30.0% , followed by Claude Opus 4.6 (25.6%) and Kimi K2.5 (25.6%).
GLM-5V-Turbo
Zhipu AI
Claude Opus 4.6
Anthropic
Kimi K2.5
Moonshot AI
According to BenchLM.ai, GLM-5V-Turbo leads the MMSearch-Plus benchmark with a score of 30.0%, followed by Claude Opus 4.6 (25.6%) and Kimi K2.5 (25.6%). The scores show moderate spread, with meaningful differences between the top tier and mid-tier models.
3 models have been evaluated on MMSearch-Plus. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMSearch-Plus is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
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.
GLM-5V-TurboVersion
MMSearch-Plus 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
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.
A harder MMSearch variant for multimodal retrieval and grounded tool-use workflows.
GLM-5V-Turbo by Zhipu AI currently leads with a score of 30.0% on MMSearch-Plus.
3 AI models have been evaluated on MMSearch-Plus on BenchLM.
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