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DeepSeek-V4.1-Flash-1017 vs Phi 4 Reasoning

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 11.7.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to 11.7, ranking #15 overall.

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

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Phi 4 Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Phi 4 Reasoning
Microsoft
Core performance indexes
LLM Stats Score
51.0
#15
11.7
#279
Reasoning
48.6
#18
12.3
#267
Coding
39.1
#15
6.3
#211
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
Phi 4 Reasoning
Math
31.8#67
13.6#235
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 11 for Phi 4 Reasoning

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and Phi 4 Reasoningdon'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

749.2B diff

DeepSeek-V4.1-Flash-1017 has 749.2B more parameters than Phi 4 Reasoning, making it 5351.5% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Phi 4 Reasoning does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Phi 4 Reasoning

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-1017

MIT

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Phi 4 Reasoning was released on 2025-04-30.

DeepSeek-V4.1-Flash-1017 is 18 months newer than Phi 4 Reasoning.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

0 days ago

1.5yr newer
Phi 4 Reasoning

Apr 30, 2025

1.5 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while DeepSeek-V4.1-Flash-1017's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash-1017's cutoff date.

DeepSeek-V4.1-Flash-1017

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Phi 4 Reasoning
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Phi 4 Reasoning.

Which is better, DeepSeek-V4.1-Flash-1017 or Phi 4 Reasoning?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to 11.7. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and Phi 4 Reasoning 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-1017 compare to Phi 4 Reasoning in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and Phi 4 Reasoning?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and Phi 4 Reasoning 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-1017 and Phi 4 Reasoning?

Key differences include LLM Stats Score (51.0 vs 11.7), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Phi 4 Reasoning?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Phi 4 Reasoning is developed by Microsoft.

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