multimodal benchmark
MM-BrowserComp Leaderboard
MM-BrowserComp evaluates multimodal agents on web browsing and information retrieval tasks in real web environments.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MM-BrowserComp Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXI | Score52.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MM-BrowserComp Highlights
The leading models and scores on this benchmark.
The Top AI Models for MM-BrowserComp
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mm-browsercomp AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01XIXiaomi
- Score
- 52.00%
- Price
- $0.14 input / $0.28 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MM-BrowserComp, not total model capability
Selection summary
Best AI Models for MM-BrowserComp
MiMo-V2-Omni currently leads MM-BrowserComp with 52.00%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is MM-BrowserComp?
What MM-BrowserComp measures and how its scores work.
MM-BrowserComp is a multimodal benchmark for evaluating agents on web browsing and information retrieval tasks.
It measures a model's ability to perceive, navigate, and extract information from real web environments, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MM-BrowserComp
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MM-BrowserComp.
Which model scores highest on MM-BrowserComp?
MiMo-V2-Omni is currently ranked first with 52.00%.
What are the top three models on MM-BrowserComp?
The current leaders are MiMo-V2-Omni (52.00%).
Which MM-BrowserComp model has the lowest official input price?
MiMo-V2-Omni has the lowest matched official input price at $0.14 input / $0.28 output per 1M tokens.
Which models are fastest among MM-BrowserComp results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.