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

Comparing Phi 4 and Qwen3.5-397B-A17B across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Phi 4 outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 3 benchmarks (GPQA, IFEval, MMLU-Pro).

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

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Phi 4 ($0.07/1M tokens) is 8.6x cheaper than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, Phi 4 ($0.14/1M tokens) is 25.7x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, Qwen3.5-397B-A17B is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
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Model Size

Parameter count comparison

382.3B diff

Qwen3.5-397B-A17B has 382.3B more parameters than Phi 4, making it 2600.7% larger.

Microsoft
Phi 4
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
397.0Bparameters
14.7B
Phi 4
397.0B
Qwen3.5-397B-A17B

Context Window

Maximum input and output token capacity

Qwen3.5-397B-A17B accepts 262,144 input tokens compared to Phi 4's 16,000 tokens. Qwen3.5-397B-A17B can generate longer responses up to 64,000 tokens, while Phi 4 is limited to 16,000 tokens.

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Phi 4

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Phi 4

MIT

Open weights

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 14 months newer than Phi 4.

Phi 4

Dec 12, 2024

1.3 years ago

Qwen3.5-397B-A17B

Feb 16, 2026

3 weeks ago

1.2yr newer

Knowledge Cutoff

When training data ends

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

Phi 4

Jun 2024

Qwen3.5-397B-A17B

Provider Availability

Phi 4 is available from DeepInfra. Qwen3.5-397B-A17B is available from Novita. The availability of providers can affect quality of the model and reliability.

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
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 56.1%)
Higher IFEval score (92.6% vs 63.0%)
Higher MMLU-Pro score (87.8% vs 70.4%)

Detailed Comparison

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