Model Comparison

Phi-3.5-MoE-instruct vs Qwen2.5-Coder 32B Instruct

Phi-3.5-MoE-instruct has a slight edge in benchmark performance.

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Performance Benchmarks

Comparative analysis across standard metrics

10 benchmarks

Phi-3.5-MoE-instruct outperforms in 6 benchmarks (ARC-C, HellaSwag, MATH, MMLU, TruthfulQA, Winogrande), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (GSM8k, HumanEval, MBPP, MMLU-Pro).

Phi-3.5-MoE-instruct has a slight edge in benchmark performance.

Tue May 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

28.0B diff

Phi-3.5-MoE-instruct has 28.0B more parameters than Qwen2.5-Coder 32B Instruct, making it 87.5% larger.

Phi-3.5-MoE-instruct

60.0Bparameters

Qwen2.5-Coder 32B Instruct

32.0Bparameters

60.0B

Phi-3.5-MoE-instruct

32.0B

Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).

Phi-3.5-MoE-instruct

Input- tokens

Output- tokens

Qwen2.5-Coder 32B Instruct

Input128,000 tokens

Output128,000 tokens

Tue May 26 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen2.5-Coder 32B 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-Coder 32B 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-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B 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-Coder 32B 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

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Key Takeaways

Phi-3.5-MoE-instruct

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Microsoft

Higher ARC-C score (91.0% vs 70.5%)

Higher HellaSwag score (83.8% vs 83.0%)

Higher MATH score (59.5% vs 57.2%)

Higher MMLU score (78.9% vs 75.1%)

Higher TruthfulQA score (77.5% vs 54.2%)

Higher Winogrande score (81.3% vs 80.8%)

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Higher GSM8k score (91.1% vs 88.7%)

Higher HumanEval score (92.7% vs 70.7%)

Higher MBPP score (90.2% vs 80.8%)

Higher MMLU-Pro score (50.4% vs 45.3%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi-3.5-MoE-instruct	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen2.5-Coder 32B Instruct.

Which is better, Phi-3.5-MoE-instruct or Qwen2.5-Coder 32B Instruct?

Phi-3.5-MoE-instruct has a slight edge in benchmark performance. Phi-3.5-MoE-instruct is made by Microsoft and Qwen2.5-Coder 32B 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-Coder 32B 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-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen2.5-Coder 32B Instruct?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen2.5-Coder 32B Instruct supports 128K 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-Coder 32B 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-Coder 32B Instruct?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.