multimodal benchmark
MM IF-Eval Leaderboard
MM IF-Eval is a multimodal instruction-following benchmark covering output-response and image-related constraints.
Updated Sep 5, 2026
Models2
Model coverage2
MetricScore
EvidenceB
MM IF-Eval Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelLA | Score60.60% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelMA | Score52.70% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
MM IF-Eval Highlights
The leading models and scores on this benchmark.
MM IF-Eval Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MM IF-Eval
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MM IF-Eval?
What MM IF-Eval measures and how its scores work.
MM IF-Eval is a multimodal benchmark for instruction following.
It measures compliance with compose-level constraints for output responses and perception-level constraints tied to input images, using the Score metric as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MM IF-Eval
- 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 IF-Eval.
Which model scores highest on MM IF-Eval?
LFM2.5-VL-3B is currently ranked first with 60.60%.
What are the top three models on MM IF-Eval?
The current leaders are LFM2.5-VL-3B (60.60%) and Pixtral-12B (52.70%).
Which MM IF-Eval model has the lowest official input price?
Pixtral-12B has the lowest matched official input price at $0.15 input / $0.15 output per 1M tokens.
Which models are fastest among MM IF-Eval results?
The fastest matched records are Pixtral-12B (0.10 tok/s via Mistral AI).
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.