Model Comparison

Phi-3.5-MoE-instruct vs Qwen2.5-Omni-7BWhich is better in 2026?

Qwen2.5-Omni-7B has a slight edge in benchmark performance.

Verdict: Phi-3.5-MoE-instruct vs Qwen2.5-Omni-7B — which is better?

Phi-3.5-MoE-instruct (by Microsoft) and Qwen2.5-Omni-7B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Phi-3.5-MoE-instruct outperforms in 2 benchmarks (GPQA, MBPP), while Qwen2.5-Omni-7B is better at 3 benchmarks (HumanEval, MATH, MMLU-Pro). Qwen2.5-Omni-7B has a slight edge in benchmark performance.

Choose Phi-3.5-MoE-instruct if…

  • you are already invested in the Microsoft ecosystem

Choose Qwen2.5-Omni-7B if…

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
  • you want the most recent training data — it shipped Mar 2025

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Phi-3.5-MoE-instruct outperforms in 2 benchmarks (GPQA, MBPP), while Qwen2.5-Omni-7B is better at 3 benchmarks (HumanEval, MATH, MMLU-Pro).

Qwen2.5-Omni-7B has a slight edge in benchmark performance.

Wed Jun 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

53.0B diff

Phi-3.5-MoE-instruct has 53.0B more parameters than Qwen2.5-Omni-7B, making it 757.1% larger.

Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B
7.0Bparameters
60.0B
Phi-3.5-MoE-instruct
7.0B
Qwen2.5-Omni-7B

Input Capabilities

Supported data types and modalities

Qwen2.5-Omni-7B supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

Qwen2.5-Omni-7B

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-MoE-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.

Phi-3.5-MoE-instruct

MIT

Open weights

Qwen2.5-Omni-7B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-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-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.8 years ago

Qwen2.5-Omni-7B

Mar 27, 2025

1.2 years ago

7mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher GPQA score (36.8% vs 30.8%)
Higher MBPP score (80.8% vs 73.2%)
Alibaba Cloud / Qwen Team

Qwen2.5-Omni-7B

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher HumanEval score (78.7% vs 70.7%)
Higher MATH score (71.5% vs 59.5%)
Higher MMLU-Pro score (47.0% vs 45.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-3.5-MoE-instruct
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen2.5-Omni-7B.

Which is better, Phi-3.5-MoE-instruct or Qwen2.5-Omni-7B?

Qwen2.5-Omni-7B has a slight edge in benchmark performance. Phi-3.5-MoE-instruct is made by Microsoft and Qwen2.5-Omni-7B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Phi-3.5-MoE-instruct compare to Qwen2.5-Omni-7B in benchmarks?

Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%. Qwen2.5-Omni-7B scores FLEURS: 95.9%, DocVQA: 95.2%, VocalSound: 93.9%, GSM8k: 88.7%, GiantSteps Tempo: 88.0%.

What are the main differences between Phi-3.5-MoE-instruct and Qwen2.5-Omni-7B?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-MoE-instruct and Qwen2.5-Omni-7B?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen2.5-Omni-7B is developed by Alibaba Cloud / Qwen Team.