Model Comparison

Phi-3.5-MoE-instruct vs Qwen2.5 7B InstructWhich is better in 2026?

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

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

Phi-3.5-MoE-instruct (by Microsoft) and Qwen2.5 7B Instruct (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 7B Instruct is better at 5 benchmarks (Arena Hard, GSM8k, HumanEval, MATH, MMLU-Pro). Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

Choose Phi-3.5-MoE-instruct if…

  • you are already invested in the Microsoft ecosystem

Choose Qwen2.5 7B Instruct if…

  • you want the strongest raw capability — it leads on 5 of 7 shared benchmarks
  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Phi-3.5-MoE-instruct outperforms in 2 benchmarks (GPQA, MBPP), while Qwen2.5 7B Instruct is better at 5 benchmarks (Arena Hard, GSM8k, HumanEval, MATH, MMLU-Pro).

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.

Sun Jun 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

52.4B diff

Phi-3.5-MoE-instruct has 52.4B more parameters than Qwen2.5 7B Instruct, making it 688.4% larger.

Microsoft
Phi-3.5-MoE-instruct
60.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
7.6Bparameters
60.0B
Phi-3.5-MoE-instruct
7.6B
Qwen2.5 7B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 7B Instruct specifies input context (131,072 tokens). Only Qwen2.5 7B Instruct specifies output context (8,192 tokens).

Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Sun Jun 14 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen2.5 7B Instruct 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 7B Instruct

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 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 1 month newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.8 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.7 years ago

3w 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 36.4%)
Higher MBPP score (80.8% vs 79.2%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher Arena Hard score (52.0% vs 37.9%)
Higher GSM8k score (91.6% vs 88.7%)
Higher HumanEval score (84.8% vs 70.7%)
Higher MATH score (75.5% vs 59.5%)
Higher MMLU-Pro score (56.3% vs 45.3%)

Detailed Comparison

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

FAQ

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

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

Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen2.5 7B Instruct 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 7B Instruct 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 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen2.5 7B Instruct?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include 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 7B Instruct?

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