Model Comparison

DeepSeek R1 Distill Qwen 1.5B vs Phi 4

Phi 4 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

DeepSeek R1 Distill Qwen 1.5B outperforms in 0 benchmarks, while Phi 4 is better at 1 benchmark (GPQA).

Phi 4 significantly outperforms across most benchmarks.

Mon Mar 30 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
Mon Mar 30 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

12.9B diff

Phi 4 has 12.9B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 725.8% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Microsoft
Phi 4
14.7Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Only Phi 4 specifies input context (16,000 tokens). Only Phi 4 specifies output context (16,000 tokens).

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Input- tokens
Output- tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Mon Mar 30 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while Phi 4 was released on 2024-12-12.

DeepSeek R1 Distill Qwen 1.5B is 1 month newer than Phi 4.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.2 years ago

1mo newer
Phi 4

Dec 12, 2024

1.3 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while DeepSeek R1 Distill Qwen 1.5B'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 DeepSeek R1 Distill Qwen 1.5B's cutoff date.

DeepSeek R1 Distill Qwen 1.5B

—

Phi 4

Jun 2024

Outputs Comparison

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Key Takeaways

DeepSeek
Microsoft
Larger context window (16,000 tokens)
Higher GPQA score (56.1% vs 33.8%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek R1 Distill Qwen 1.5B
Microsoft
Phi 4

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs Phi 4

Phi 4 significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
DeepSeek R1 Distill Qwen 1.5B supports an unknown number of tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and Phi 4 is developed by Microsoft.