A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.
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.
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
The published MMSearch snapshot is tightly clustered at the top: GLM-5V-Turbo sits at 72.9%, while the third row is only 14.2 points behind. The broader top-10 spread is 14.2 points, so the benchmark still separates strong models even when the leaders cluster.
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.
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.
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.
A multimodal search benchmark for retrieval and grounded answering across mixed-media inputs.
GLM-5V-Turbo currently leads the published MMSearch snapshot with a tracked score of 72.9%. BenchLM shows this benchmark for display only and does not use it in overall rankings.
3 AI models are included in BenchLM's mirrored MMSearch snapshot, based on the public leaderboard captured on April 10, 2026.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.