multimodal benchmark
MM-Mind2Web Leaderboard
A multimodal web navigation benchmark comprising 2,000 open-ended tasks spanning 137 websites across 31 domains. Each task includes HTML documents paired with webpage screenshots, action sequences, and complex web interactions.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MM-Mind2Web Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM Nova ProAmazon | Score63.7% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAMNova LiteAmazon | Score60.7% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score55.8% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
MM-Mind2Web Highlights
The leading models and scores on this benchmark.
MM-Mind2Web Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MM-Mind2Web
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mm-mind2web AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01AMNova ProAmazon
- Score
- 63.7%
- Price
- $0.80 input / $3.2 output per 1M tokens
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MM-Mind2Web, not total model capability
- 02AMNova LiteAmazon
- Score
- 60.7%
- Price
- $0.06 input / $0.24 output per 1M tokens
- Speed
- Up to 100 tok/s via Bedrock
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures MM-Mind2Web, not total model capability
- 03ACQwen3-Coder 480B A35B InstructAlibaba Cloud / Qwen Team
- Score
- 55.8%
- Price
- $1.5 input / $7.5 output per 1M tokens
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MM-Mind2Web, not total model capability
Selection summary
Best AI Models for MM-Mind2Web
Nova Pro currently leads MM-Mind2Web with 63.7%. 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-Mind2Web?
What MM-Mind2Web measures and how its scores work.
A multimodal web navigation benchmark comprising 2,000 open-ended tasks spanning 137 websites across 31 domains. Each task includes HTML documents paired with webpage screenshots, action sequences, and complex web interactions.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MM-Mind2Web
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mm-mind2web|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MM-Mind2Web.
Which model scores highest on MM-Mind2Web?
Nova Pro is currently ranked first with 63.7%.
What does MM-Mind2Web measure?
A multimodal web navigation benchmark comprising 2,000 open-ended tasks spanning 137 websites across 31 domains. Each task includes HTML documents paired with webpage screenshots, action sequences, and complex web interactions.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.