Model Comparison

DeepSeek-V3 0324 vs Phi-4-multimodal-instruct

Comparing DeepSeek-V3 0324 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-V3 0324 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-V3 0324 ($0.28/1M tokens) is 5.6x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 11.4x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

In conclusion, DeepSeek-V3 0324 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 May 25 2026 • llm-stats.com
DeepSeek
DeepSeek-V3 0324
Input tokens$0.28
Output tokens$1.14
Best providerNovita
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-V3 0324 has 665.4B more parameters than Phi-4-multimodal-instruct, making it 11882.1% larger.

DeepSeek
DeepSeek-V3 0324
671.0Bparameters
Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
671.0B
DeepSeek-V3 0324
5.6B
Phi-4-multimodal-instruct

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

DeepSeek
DeepSeek-V3 0324
Input163,840 tokens
Output163,840 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas DeepSeek-V3 0324 does not.

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

DeepSeek-V3 0324

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while Phi-4-multimodal-instruct uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

Phi-4-multimodal-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while Phi-4-multimodal-instruct was released on 2025-02-01.

DeepSeek-V3 0324 is 2 months newer than Phi-4-multimodal-instruct.

DeepSeek-V3 0324

Mar 25, 2025

1.2 years ago

1mo newer
Phi-4-multimodal-instruct

Feb 1, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V3 0324'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-V3 0324's cutoff date.

DeepSeek-V3 0324

—

Phi-4-multimodal-instruct

Jun 2024

Provider Availability

DeepSeek-V3 0324 is available from Novita. Phi-4-multimodal-instruct is available from DeepInfra.

DeepSeek-V3 0324

novita logo
Novita
Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

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 (163,840 tokens)
Microsoft
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3 0324
Microsoft
Phi-4-multimodal-instruct

FAQ

Common questions about DeepSeek-V3 0324 vs Phi-4-multimodal-instruct.

Which is better, DeepSeek-V3 0324 or Phi-4-multimodal-instruct?

DeepSeek-V3 0324 (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.

How does DeepSeek-V3 0324 compare to Phi-4-multimodal-instruct in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is DeepSeek-V3 0324 cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 5.6x cheaper for input tokens. DeepSeek-V3 0324 costs $0.28/M input and $1.14/M output via novita. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for DeepSeek-V3 0324 and Phi-4-multimodal-instruct?

DeepSeek-V3 0324 supports 164K 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.

What are the main differences between DeepSeek-V3 0324 and Phi-4-multimodal-instruct?

Key differences include context window (164K vs 128K), input pricing ($0.28 vs $0.05/M), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and Phi-4-multimodal-instruct?

DeepSeek-V3 0324 is developed by DeepSeek and Phi-4-multimodal-instruct is developed by Microsoft.