Model Comparison

Phi-3.5-MoE-instruct vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 7 benchmarks (Arena Hard, GPQA, GSM8k, HumanEval, MATH, MBPP, MMLU-Pro).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

12.7B diff

Qwen2.5 72B Instruct has 12.7B more parameters than Phi-3.5-MoE-instruct, making it 21.2% larger.

Phi-3.5-MoE-instruct

60.0Bparameters

Qwen2.5 72B Instruct

72.7Bparameters

60.0B

Phi-3.5-MoE-instruct

72.7B

Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Phi-3.5-MoE-instruct

Input- tokens

Output- tokens

Qwen2.5 72B Instruct

Input131,072 tokens

Output8,192 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen2.5 72B Instruct uses Qwen.

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 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 1 month newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.7 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 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

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Key Takeaways

Phi-3.5-MoE-instruct

View details

Microsoft

No standout differentiators in the data we have for this pair.

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Higher Arena Hard score (81.2% vs 37.9%)

Higher GPQA score (49.0% vs 36.8%)

Higher GSM8k score (95.8% vs 88.7%)

Higher HumanEval score (86.6% vs 70.7%)

Higher MATH score (83.1% vs 59.5%)

Higher MBPP score (88.2% vs 80.8%)

Higher MMLU-Pro score (71.1% vs 45.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi-3.5-MoE-instruct	Qwen2.5 72B Instruct

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen2.5 72B Instruct.

Which is better, Phi-3.5-MoE-instruct or Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen2.5 72B 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 72B 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 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen2.5 72B Instruct?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen2.5 72B 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 72B Instruct?

Key differences include licensing (MIT vs Qwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-MoE-instruct and Qwen2.5 72B Instruct?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.