Phi-3.5-vision-instruct vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B leads the LLM Stats Score 5.2 to -3.4.
Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5-Omni-7B leads the overall LLM Stats Score 5.2 to -3.4, ranking #298 overall.
In the 5 individual benchmarks reported for both models, Qwen2.5-Omni-7B wins 5; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Phi-3.5-vision-instruct
- you are already invested in the Microsoft ecosystem
Choose Qwen2.5-Omni-7B
- overall performance matters — it scores 5.2 and ranks #298 on LLM Stats
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for Phi-3.5-vision-instruct · 45 for Qwen2.5-Omni-7B
Phi-3.5-vision-instruct outperforms in 0 benchmarks, while Qwen2.5-Omni-7B is better at 5 benchmarks (AI2D, ChartQA, MathVista, MMMU, TextVQA).
Qwen2.5-Omni-7B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5-Omni-7B has 2.8B more parameters than Phi-3.5-vision-instruct, making it 66.7% larger.
Input capabilities
Documented input modalities across available providers
Both Phi-3.5-vision-instruct and Qwen2.5-Omni-7B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Phi-3.5-vision-instruct
Qwen2.5-Omni-7B
License
Usage and distribution terms
Phi-3.5-vision-instruct is licensed under MIT, while Qwen2.5-Omni-7B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Phi-3.5-vision-instruct was released on 2024-08-23, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 7 months newer than Phi-3.5-vision-instruct.
Aug 23, 2024
2.1 years ago
Mar 27, 2025
1.5 years ago
7mo newerKnowledge 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 Phi-3.5-vision-instruct and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Phi-3.5-vision-instruct vs Qwen2.5-Omni-7B.