Model Comparison

DeepSeek-R1-0528 vs Phi-4-multimodal-instruct

Comparing DeepSeek-R1-0528 and Phi-4-multimodal-instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1-0528 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-R1-0528 ($0.50/1M tokens) is 10.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, DeepSeek-R1-0528 ($2.15/1M tokens) is 21.5x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, DeepSeek-R1-0528 is more expensive than Phi-4-multimodal-instruct.*

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

Lowest available price from all providers
Mon Apr 27 2026 • llm-stats.com
DeepSeek
DeepSeek-R1-0528
Input tokens$0.50
Output tokens$2.15
Best providerDeepinfra
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-R1-0528 has 665.4B more parameters than Phi-4-multimodal-instruct, making it 11882.1% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
671.0B
DeepSeek-R1-0528
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

DeepSeek-R1-0528 accepts 131,072 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. DeepSeek-R1-0528 can generate longer responses up to 131,072 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Mon Apr 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

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

DeepSeek-R1-0528

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-R1-0528

MIT

Open weights

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Phi-4-multimodal-instruct was released on 2025-02-01.

DeepSeek-R1-0528 is 4 months newer than Phi-4-multimodal-instruct.

DeepSeek-R1-0528

May 28, 2025

11 months ago

3mo newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while DeepSeek-R1-0528'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-R1-0528's cutoff date.

DeepSeek-R1-0528

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

DeepSeek-R1-0528 is available from DeepInfra, DeepSeek, Novita. Phi-4-multimodal-instruct is available from DeepInfra.

DeepSeek-R1-0528

deepinfra logo
Deepinfra
Input Price:Input: $0.50/1MOutput Price:Output: $2.15/1M
deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.70/1MOutput Price:Output: $2.50/1M

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

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Microsoft
Phi-4-multimodal-instruct

FAQ

Common questions about DeepSeek-R1-0528 vs Phi-4-multimodal-instruct

DeepSeek-R1-0528 (DeepSeek) and Phi-4-multimodal-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.
Phi-4-multimodal-instruct is 10.0x cheaper for input tokens. DeepSeek-R1-0528 costs $0.50/M input and $2.15/M output via deepinfra. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.
DeepSeek-R1-0528 supports 131K tokens and Phi-4-multimodal-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.50 vs $0.05/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1-0528 is developed by DeepSeek and Phi-4-multimodal-instruct is developed by Microsoft.