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DeepSeek-V4.1-Flash vs Phi-3.5-vision-instruct

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -3.4.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -3.4, ranking #12 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #12 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Phi-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Phi-3.5-vision-instruct
Microsoft
Core performance indexes
LLM Stats Score
51.8
#12
-3.4
#343
Reasoning
48.9
#17
-4.8
#343
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
Phi-3.5-vision-instruct
Vision
29.5#31
-3.6#194
Multimodal
34.3#13
-1.1#156
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 9 for Phi-3.5-vision-instruct

No common benchmarks found

DeepSeek-V4.1-Flash and Phi-3.5-vision-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

759.0B diff

DeepSeek-V4.1-Flash has 759.0B more parameters than Phi-3.5-vision-instruct, making it 18071.6% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
763.2B
DeepSeek-V4.1-Flash
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Fri Sep 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

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-V4.1-Flash

MIT

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Phi-3.5-vision-instruct was released on 2024-08-23.

DeepSeek-V4.1-Flash is 25 months newer than Phi-3.5-vision-instruct.

DeepSeek-V4.1-Flash

Sep 10, 2026

0 days ago

2.0yr 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-V4.1-Flash and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs Phi-3.5-vision-instruct.

Which is better, DeepSeek-V4.1-Flash or Phi-3.5-vision-instruct?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -3.4. DeepSeek-V4.1-Flash is made by DeepSeek and Phi-3.5-vision-instruct is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash compare to Phi-3.5-vision-instruct in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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-V4.1-Flash and Phi-3.5-vision-instruct?

DeepSeek-V4.1-Flash 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-V4.1-Flash and Phi-3.5-vision-instruct?

Key differences include LLM Stats Score (51.8 vs -3.4). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and Phi-3.5-vision-instruct?

DeepSeek-V4.1-Flash is developed by DeepSeek and Phi-3.5-vision-instruct is developed by Microsoft.

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