multimodal benchmark
Meld Leaderboard
MELD is a multimodal, multi-party dataset for emotion recognition in conversations, containing approximately 13,000 utterances from 1,433 dialogues extracted from the TV series Friends.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
Meld Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score57.00% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
Meld Highlights
The leading models and scores on this benchmark.
The Top AI Models for Meld
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis meld AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 57.00%
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures Meld, not total model capability
Selection summary
Best AI Models for Meld
Qwen2.5-Omni-7B currently leads Meld with 57.00%. 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 Meld?
What Meld measures and how its scores work.
MELD (Multimodal EmotionLines Dataset) is a multimodal conversational dataset with audio, visual, and textual modalities.
It measures emotion recognition using the labels Anger, Disgust, Sadness, Joy, Neutral, Surprise, and Fear, as well as sentiment labels.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- Meld
- 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 Meld.
Which model scores highest on Meld?
Qwen2.5-Omni-7B is currently ranked first with 57.00%.
What are the top three models on Meld?
The current leaders are Qwen2.5-Omni-7B (57.00%).
Which Meld model has the lowest official input price?
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among Meld 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.