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DeepSeek-V3 vs Phi-3.5-vision-instruct

Comparing DeepSeek-V3 and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V3 and Phi-3.5-vision-instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V3

  • you want the most recent training data — it shipped Dec 2024

Choose Phi-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V3
DeepSeek
Phi-3.5-vision-instruct
Microsoft
Benchmark wins
—
—
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072
—
Released
Dec 2024
Aug 2024
License
MIT + Model License (Commercial use allowed)
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 and Phi-3.5-vision-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

666.8B diff

DeepSeek-V3 has 666.8B more parameters than Phi-3.5-vision-instruct, making it 15876.2% larger.

DeepSeek
DeepSeek-V3
671.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
671.0B
DeepSeek-V3
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas DeepSeek-V3 does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while Phi-3.5-vision-instruct uses MIT.

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

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Phi-3.5-vision-instruct was released on 2024-08-23.

DeepSeek-V3 is 4 months newer than Phi-3.5-vision-instruct.

DeepSeek-V3

Dec 25, 2024

1.7 years ago

4mo newer
Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about DeepSeek-V3 vs Phi-3.5-vision-instruct.

Which is better, DeepSeek-V3 or Phi-3.5-vision-instruct?

DeepSeek-V3 (DeepSeek) and Phi-3.5-vision-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 compare to Phi-3.5-vision-instruct in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for DeepSeek-V3 and Phi-3.5-vision-instruct?

DeepSeek-V3 supports 131K tokens and Phi-3.5-vision-instruct supports an unknown number of 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 and Phi-3.5-vision-instruct?

Key differences include 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 and Phi-3.5-vision-instruct?

DeepSeek-V3 is developed by DeepSeek and Phi-3.5-vision-instruct is developed by Microsoft.

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