The AI arena is free today

Open Superagent

DeepSeek-V4.1-Flash vs Phi 4 Mini

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.1.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -4.1, ranking #12 overall.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

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 value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Phi 4 Mini

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
Phi 4 Mini
Microsoft
Core performance indexes
LLM Stats Score
51.8
#12
-4.1
#346
Reasoning
48.9
#17
-4.2
#339
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
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

1 shared
Index
DeepSeek-V4.1-Flash
Phi 4 Mini
Math
35.2#43
2.3#293
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 17 for Phi 4 Mini

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (GPQA), while Phi 4 Mini is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Sat Sep 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

759.4B diff

DeepSeek-V4.1-Flash has 759.4B more parameters than Phi 4 Mini, making it 19775.1% larger.

DeepSeek
DeepSeek-V4.1-Flash
763.2Bparameters
Microsoft
Phi 4 Mini
3.8Bparameters
763.2B
DeepSeek-V4.1-Flash
3.8B
Phi 4 Mini

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 4 Mini
Input- tokens
Output- tokens
Sat Sep 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Phi 4 Mini

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 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while Phi 4 Mini was released on 2025-02-01.

DeepSeek-V4.1-Flash is 20 months newer than Phi 4 Mini.

DeepSeek-V4.1-Flash

Sep 10, 2026

0 days ago

1.6yr newer
Phi 4 Mini

Feb 1, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while DeepSeek-V4.1-Flash's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without DeepSeek-V4.1-Flash's cutoff date.

DeepSeek-V4.1-Flash

—

Phi 4 Mini

Jun 2024

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 4 Mini side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -4.1. DeepSeek-V4.1-Flash is made by DeepSeek and Phi 4 Mini 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 4 Mini 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 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%.

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

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

Key differences include LLM Stats Score (51.8 vs -4.1), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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

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

Related comparisons