Codesota · Models · Qwen3.5-Omni-Plus10 results · 10 benchmarks
Model card
Qwen3.5-Omni-Plus.
unknown2 current SOTA
§ 02 · Benchmarks
Every benchmark Qwen3.5-Omni-Plus has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | LibriSpeech | Speech · Speech Recognition | wer | 1.1% | #1 | — | source ↗ |
| 02 | MMAU | Multimodal · Audio-Text-to-Text | accuracy | 82.2% | #1 | — | source ↗ |
| 03 | MVBench | Multimodal · Video Understanding | accuracy | 79.0% | #1 | — | source ↗ |
| 04 | RealWorldQA | Multimodal · Visual Question Answering | accuracy | 84.1% | #3 | — | source ↗ |
| 05 | Video-MME | Multimodal · Video Understanding | accuracy | 81.9% | #6 | — | source ↗ |
| 06 | MMStar | Multimodal · Image-Text-to-Text | accuracy | 79.4% | #8 | — | source ↗ |
| 07 | MMMU | Multimodal · Image-Text-to-Text | accuracy | 80.1% | #10 | — | source ↗ |
| 08 | MMMU-Pro | Multimodal · Visual Question Answering | accuracy | 73.9% | #14 | — | source ↗ |
| 09 | MMLU-Pro | Reasoning · Commonsense Reasoning | accuracy | 85.9% | #17 | — | source ↗ |
| 10 | GPQA Diamond | Reasoning · Multi-step Reasoning | accuracy | 83.9% | #26 | — | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area
Where Qwen3.5-Omni-Plus actually performs.
§ 04 · Papers
1 paper with results for Qwen3.5-Omni-Plus.
- 2026-04-17· 10 results
Qwen3.5-Omni Technical Report
§ 06 · Sources & freshness
Where these numbers come from.
pwc-dump
10
results
0 of 10 rows marked verified.