Model Comparison

DeepSeek-R1 vs Phi 4

Comparing DeepSeek-R1 and Phi 4 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Phi 4 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 7.9x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 15.6x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Phi 4.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
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

656.3B diff

DeepSeek-R1 has 656.3B more parameters than Phi 4, making it 4464.6% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Microsoft
Phi 4
14.7Bparameters
671.0B
DeepSeek-R1
14.7B
Phi 4

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to Phi 4's 16,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Phi 4 is limited to 16,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed Apr 22 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

MIT

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

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

DeepSeek-R1 is 1 month newer than Phi 4.

DeepSeek-R1

Jan 20, 2025

1.3 years ago

1mo newer
Phi 4

Dec 12, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

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

DeepSeek-R1

—

Phi 4

Jun 2024

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Phi 4 is available from DeepInfra.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Microsoft
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Microsoft
Phi 4

FAQ

Common questions about DeepSeek-R1 vs Phi 4

DeepSeek-R1 (DeepSeek) and Phi 4 (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 7.9x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
DeepSeek-R1 supports 131K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 16K), input pricing ($0.55 vs $0.07/M). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and Phi 4 is developed by Microsoft.