Model Comparison

DeepSeek-V4-Flash-0731 vs Phi-3.5-vision-instructWhich is better in 2026?

Comparing DeepSeek-V4-Flash-0731 and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V4-Flash-0731 vs Phi-3.5-vision-instruct — which is better?

DeepSeek-V4-Flash-0731 (by DeepSeek) and Phi-3.5-vision-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V4-Flash-0731 if…

  • you want the most recent training data — it shipped Jul 2026

Choose Phi-3.5-vision-instruct if…

  • you are already invested in the Microsoft ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-0731 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

Human preference votes

Model Size

Parameter count comparison

299.8B diff

DeepSeek-V4-Flash-0731 has 299.8B more parameters than Phi-3.5-vision-instruct, making it 7138.1% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
304.0B
DeepSeek-V4-Flash-0731
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-0731 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-0731 specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Tue Aug 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 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-V4-Flash-0731

Text
Images
Audio
Video

Phi-3.5-vision-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-V4-Flash-0731

MIT

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Phi-3.5-vision-instruct was released on 2024-08-23.

DeepSeek-V4-Flash-0731 is 24 months newer than Phi-3.5-vision-instruct.

DeepSeek-V4-Flash-0731

Jul 31, 2026

3 days ago

1.9yr newer
Phi-3.5-vision-instruct

Aug 23, 2024

1.9 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→

Key Takeaways

DeepSeek
Larger context window (1,048,576 tokens)
Microsoft
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V4-Flash-0731
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Phi-3.5-vision-instruct.

Which is better, DeepSeek-V4-Flash-0731 or Phi-3.5-vision-instruct?

DeepSeek-V4-Flash-0731 (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-V4-Flash-0731 compare to Phi-3.5-vision-instruct in benchmarks?

DeepSeek-V4-Flash-0731 scores Terminal-Bench 2.1: 82.7%, CyberGym: 76.7%, Toolathlon: 70.3%, DSBench-FullStack: 68.7%, DSBench-Hard: 59.6%. 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-V4-Flash-0731 and Phi-3.5-vision-instruct?

DeepSeek-V4-Flash-0731 supports 1.0M 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-V4-Flash-0731 and Phi-3.5-vision-instruct?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Phi-3.5-vision-instruct?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Phi-3.5-vision-instruct is developed by Microsoft.

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