Model Comparison

Phi-3.5-MoE-instruct vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Phi-3.5-MoE-instruct outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (Arena Hard).

Qwen3 32B significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

27.2B diff

Phi-3.5-MoE-instruct has 27.2B more parameters than Qwen3 32B, making it 82.9% larger.

Phi-3.5-MoE-instruct

60.0Bparameters

Qwen3 32B

32.8Bparameters

60.0B

Phi-3.5-MoE-instruct

32.8B

Qwen3 32B

Context Window

Maximum input and output token capacity

Only Qwen3 32B specifies input context (128,000 tokens). Only Qwen3 32B specifies output context (128,000 tokens).

Phi-3.5-MoE-instruct

Input- tokens

Output- tokens

Qwen3 32B

Input128,000 tokens

Output128,000 tokens

Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

Phi-3.5-MoE-instruct is licensed under MIT, while Qwen3 32B 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

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-MoE-instruct was released on 2024-08-23, while Qwen3 32B was released on 2025-04-29.

Qwen3 32B is 8 months newer than Phi-3.5-MoE-instruct.

Phi-3.5-MoE-instruct

Aug 23, 2024

1.7 years ago

Qwen3 32B

Apr 29, 2025

1.0 years ago

8mo 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

Phi-3.5-MoE-instruct

View details

Microsoft

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

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)

Higher Arena Hard score (93.8% vs 37.9%)

Detailed Comparison

AI Model Comparison Table
Feature	Phi-3.5-MoE-instruct	Qwen3 32B

FAQ

Common questions about Phi-3.5-MoE-instruct vs Qwen3 32B.

Which is better, Phi-3.5-MoE-instruct or Qwen3 32B?

Qwen3 32B significantly outperforms across most benchmarks. Phi-3.5-MoE-instruct is made by Microsoft and Qwen3 32B 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 Qwen3 32B in benchmarks?

Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.

What are the context window sizes for Phi-3.5-MoE-instruct and Qwen3 32B?

Phi-3.5-MoE-instruct supports an unknown number of tokens and Qwen3 32B 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 Qwen3 32B?

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 Qwen3 32B?

Phi-3.5-MoE-instruct is developed by Microsoft and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.