Model Comparison

Qwen3.5-397B-A17B vs Phi 4 Mini

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3.5-397B-A17B outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi 4 Mini is better at 0 benchmarks.

Qwen3.5-397B-A17B significantly outperforms across most benchmarks.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Microsoft
Phi 4 Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

393.2B diff

Qwen3.5-397B-A17B has 393.2B more parameters than Phi 4 Mini, making it 10238.5% larger.

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
397.0B
Qwen3.5-397B-A17B
3.8B
Phi 4 Mini

Context Window

Maximum input and output token capacity

Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3.5-397B-A17B supports multimodal inputs, whereas Phi 4 Mini does not.

Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3.5-397B-A17B

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

Qwen3.5-397B-A17B is licensed under Apache 2.0, while Phi 4 Mini uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

Qwen3.5-397B-A17B was released on 2026-02-16, while Phi 4 Mini was released on 2025-02-01.

Qwen3.5-397B-A17B is 13 months newer than Phi 4 Mini.

Qwen3.5-397B-A17B

Feb 16, 2026

1 months ago

1.0yr newer
Phi 4 Mini

Feb 1, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

Qwen3.5-397B-A17B

—

Phi 4 Mini

Jun 2024

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher GPQA score (88.4% vs 25.2%)
Higher MMLU-Pro score (87.8% vs 52.8%)
Microsoft

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Microsoft
Phi 4 Mini

FAQ

Common questions about Qwen3.5-397B-A17B vs Phi 4 Mini

Qwen3.5-397B-A17B significantly outperforms across most benchmarks. Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team and Phi 4 Mini is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%. Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.
Qwen3.5-397B-A17B supports 262K tokens and Phi 4 Mini supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no), licensing (Apache 2.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.
Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team and Phi 4 Mini is developed by Microsoft.