DeepSeek-R1 vs Phi-4-multimodal-instruct Comparison

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Phi-4-multimodal-instruct 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-multimodal-instruct costs less

For input processing, DeepSeek-R1 ($0.55/1M tokens) is 11.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 21.9x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

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

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

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

665.4B diff

DeepSeek-R1 has 665.4B more parameters than Phi-4-multimodal-instruct, making it 11882.1% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
671.0B
DeepSeek-R1
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

DeepSeek-R1 accepts 131,072 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Sat Mar 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas DeepSeek-R1 does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

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-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 0 month newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.1 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.1 years ago

1w newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while DeepSeek-R1's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-R1's cutoff date.

DeepSeek-R1

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Phi-4-multimodal-instruct is available from DeepInfra. The availability of providers can affect quality of the model and reliability.

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-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

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