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DeepSeek-V4-Flash-0731 vs Phi 4 Mini Reasoning

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 7.2.

DeepSeek · Microsoft · Updated for 2026

Which is better?

DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 44.7 to 7.2, ranking #35 overall.

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

Choose DeepSeek-V4-Flash-0731

  • overall performance matters — it scores 44.7 and ranks #35 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Jul 2026

Choose Phi 4 Mini Reasoning

  • you are already invested in the Microsoft ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Flash-0731
DeepSeek
Phi 4 Mini Reasoning
Microsoft
Core performance indexes
LLM Stats Score
44.7
#35
7.2
#288
Reasoning
42.3
#45
7.5
#279
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
1,048,576
—

Individual benchmarks

9 reported for DeepSeek-V4-Flash-0731 · 3 for Phi 4 Mini Reasoning

No common benchmarks found

DeepSeek-V4-Flash-0731 and Phi 4 Mini 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

300.2B diff

DeepSeek-V4-Flash-0731 has 300.2B more parameters than Phi 4 Mini Reasoning, making it 7900.0% larger.

DeepSeek
DeepSeek-V4-Flash-0731
304.0Bparameters
Microsoft
Phi 4 Mini Reasoning
3.8Bparameters
304.0B
DeepSeek-V4-Flash-0731
3.8B
Phi 4 Mini Reasoning

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 (1,048,576 tokens).

DeepSeek
DeepSeek-V4-Flash-0731
Input1,048,576 tokens
Output1,048,576 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Fri Sep 11 2026 • llm-stats.com

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 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V4-Flash-0731 was released on 2026-07-31, while Phi 4 Mini Reasoning was released on 2025-04-30.

DeepSeek-V4-Flash-0731 is 15 months newer than Phi 4 Mini Reasoning.

DeepSeek-V4-Flash-0731

Jul 31, 2026

1 months ago

1.3yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini Reasoning has a documented knowledge cutoff of 2025-02-01, while DeepSeek-V4-Flash-0731's cutoff date is not specified.

We can confirm Phi 4 Mini Reasoning's training data extends to 2025-02-01, but cannot make a direct comparison without DeepSeek-V4-Flash-0731's cutoff date.

DeepSeek-V4-Flash-0731

—

Phi 4 Mini Reasoning

Feb 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-0731 and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-0731
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-0731 vs Phi 4 Mini Reasoning.

Which is better, DeepSeek-V4-Flash-0731 or Phi 4 Mini Reasoning?

DeepSeek-V4-Flash-0731 leads the LLM Stats Score 44.7 to 7.2. DeepSeek-V4-Flash-0731 is made by DeepSeek and Phi 4 Mini 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-Flash-0731 compare to Phi 4 Mini Reasoning 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 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for DeepSeek-V4-Flash-0731 and Phi 4 Mini Reasoning?

DeepSeek-V4-Flash-0731 supports 1.0M tokens and Phi 4 Mini 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-Flash-0731 and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (44.7 vs 7.2). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-0731 and Phi 4 Mini Reasoning?

DeepSeek-V4-Flash-0731 is developed by DeepSeek and Phi 4 Mini Reasoning is developed by Microsoft.

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