Benchmark profile
MMSearch
A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.
Data verifiedHow BenchLM shows MMSearch right now
BenchLM is tracking MMSearch in the local dataset, but exact-source verification records for these rows are still being attached. To avoid a blank benchmark page, BenchLM shows the current tracked rows below as a display-only reference table.
These tracked rows are useful for inspection and spot-checking, but until exact-source attachments are completed they should not be treated as fully verified public benchmark rows.
Tracked score on MMSearch — July 23, 2026
BenchLM mirrors the published tracked score view for MMSearch. GLM-5V-Turbo leads the public snapshot at 72.9% , followed by Claude Opus 4.6 (63.8%) and Kimi K2.5 (58.7%). BenchLM does not use these results to rank models overall.
GLM-5V-Turbo
Z.AI
glm-5v-turbo
Claude Opus 4.6
Anthropic
claude-opus-4-6
Kimi K2.5
Moonshot AI
kimi-k2-5
Tracked score table (3 models)
ScoreThe published MMSearch snapshot places GLM-5V-Turbo first at 72.9%. The third row is 14.2 points behind. The broader top-10 range is 14.2 points, so the table still separates the published systems.
3 models have been evaluated on MMSearch. The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MMSearch is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About MMSearch
Year
2026
Tasks
Multimodal search tasks
Format
Mixed-media retrieval and grounded answering
Difficulty
Multimodal search
BenchLM stores MMSearch as a display-only benchmark because it is not yet part of the weighted core schema.
BenchLM freshness & provenance
Version
MMSearch 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.
FAQ
What does MMSearch measure?
A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.
Which model leads the published MMSearch snapshot?
GLM-5V-Turbo currently leads the published MMSearch snapshot with 72.9% tracked score. BenchLM shows this benchmark for display only and does not use it in overall rankings.
How many models are evaluated on MMSearch?
3 AI models are included in BenchLM's mirrored MMSearch snapshot, based on the public leaderboard captured on July 23, 2026.
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