Ling 3.1 Flash vs Qwen2.5-Omni-7B
Ling 3.1 Flash leads the LLM Stats Score 51.0 to 5.2.
InclusionAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Ling 3.1 Flash leads the overall LLM Stats Score 51.0 to 5.2, ranking #15 overall.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Ling 3.1 Flash
- overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Sep 2026
Choose Qwen2.5-Omni-7B
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
11 reported for Ling 3.1 Flash · 45 for Qwen2.5-Omni-7B
Ling 3.1 Flash and Qwen2.5-Omni-7Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Ling 3.1 Flash has 553.0B more parameters than Qwen2.5-Omni-7B, making it 7900.0% larger.
Input capabilities
Documented input modalities across available providers
Qwen2.5-Omni-7B supports multimodal inputs, whereas Ling 3.1 Flash does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Ling 3.1 Flash
Qwen2.5-Omni-7B
Release Timeline
When each model was launched
Ling 3.1 Flash was released on 2026-09-30, while Qwen2.5-Omni-7B was released on 2025-03-27.
Ling 3.1 Flash is 18 months newer than Qwen2.5-Omni-7B.
Sep 30, 2026
1 weeks ago
1.5yr newerMar 27, 2025
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Ling 3.1 Flash and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Ling 3.1 Flash vs Qwen2.5-Omni-7B.