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GPT-5 mini vs Phi 4 Mini

GPT-5 mini leads the LLM Stats Score 27.3 to -4.1.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-5 mini leads the overall LLM Stats Score 27.3 to -4.1, ranking #143 overall.

In the 1 individual benchmarks reported for both models, GPT-5 mini 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 GPT-5 mini

  • overall performance matters — it scores 27.3 and ranks #143 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 Aug 2025

Choose Phi 4 Mini

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
27.3
#143
-4.1
#346
26.6
#143
-4.2
#339
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.25 / M
— / M
Output price
$2.00 / M
— / M
Context window
400,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5 mini
Phi 4 Mini
25.6#106
2.3#293
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-5 mini · 17 for Phi 4 Mini

1 shared

GPT-5 mini outperforms in 1 benchmarks (GPQA), while Phi 4 Mini is better at 0 benchmarks.

GPT-5 mini significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only GPT-5 mini specifies input context (400,000 tokens). Only GPT-5 mini specifies output context (128,000 tokens).

OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-5 mini supports multimodal inputs, whereas Phi 4 Mini does not.

GPT-5 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5 mini

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5 mini is licensed under a proprietary license, while Phi 4 Mini uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5 mini

Proprietary

Closed source

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

GPT-5 mini was released on 2025-08-07, while Phi 4 Mini was released on 2025-02-01.

GPT-5 mini is 6 months newer than Phi 4 Mini.

GPT-5 mini

Aug 7, 2025

1.1 years ago

6mo newer
Phi 4 Mini

Feb 1, 2025

1.6 years ago

Knowledge Cutoff

When training data ends

GPT-5 mini has a knowledge cutoff of 2024-05-30, while Phi 4 Mini has a cutoff of 2024-06-01.

Phi 4 Mini has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-5 mini (2024-05-30).

GPT-5 mini

May 2024

Phi 4 Mini

Jun 2024

1 mo newer

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5 mini and Phi 4 Mini side-by-side, then vote on the output you prefer.

GPT-5 mini
✓ Preferred
Phi 4 Mini
Open in Playground

FAQ

Common questions about GPT-5 mini vs Phi 4 Mini.

Which is better, GPT-5 mini or Phi 4 Mini?

GPT-5 mini leads the LLM Stats Score 27.3 to -4.1. GPT-5 mini is made by OpenAI 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 GPT-5 mini compare to Phi 4 Mini in benchmarks?

GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%. 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 GPT-5 mini and Phi 4 Mini?

GPT-5 mini supports 400K 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 GPT-5 mini and Phi 4 Mini?

Key differences include LLM Stats Score (27.3 vs -4.1), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 mini and Phi 4 Mini?

GPT-5 mini is developed by OpenAI and Phi 4 Mini is developed by Microsoft.