The AI arena is free today

Open Superagent

GPT-6 Luna vs Phi 4 Mini Reasoning

GPT-6 Luna leads the LLM Stats Score 44.5 to 7.2.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 7.2, ranking #41 overall.

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

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 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 4 Mini Reasoning

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

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Phi 4 Mini Reasoning
Microsoft
Core performance indexes
LLM Stats Score
44.5
#41
7.2
#295
Reasoning
40.0
#58
7.5
#286
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,050,000
—

Individual benchmarks

5 reported for GPT-6 Luna · 3 for Phi 4 Mini Reasoning

No common benchmarks found

GPT-6 Luna 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

Context Window

Maximum input and output token capacity

Only GPT-6 Luna specifies input context (1,050,000 tokens). Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini Reasoning
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas Phi 4 Mini Reasoning does not.

GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-6 Luna

Text
Images
Audio
Video

Phi 4 Mini Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Luna is licensed under a proprietary license, while Phi 4 Mini Reasoning uses MIT.

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

GPT-6 Luna

Proprietary

Closed source

Phi 4 Mini Reasoning

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Phi 4 Mini Reasoning was released on 2025-04-30.

GPT-6 Luna is 17 months newer than Phi 4 Mini Reasoning.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.4yr newer
Phi 4 Mini Reasoning

Apr 30, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a knowledge cutoff of 2026-05-18, while Phi 4 Mini Reasoning has a cutoff of 2025-02-01.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Phi 4 Mini Reasoning (2025-02-01).

GPT-6 Luna

May 2026

1.3 yr newer
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 GPT-6 Luna and Phi 4 Mini Reasoning side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Phi 4 Mini Reasoning
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Phi 4 Mini Reasoning.

Which is better, GPT-6 Luna or Phi 4 Mini Reasoning?

GPT-6 Luna leads the LLM Stats Score 44.5 to 7.2. GPT-6 Luna is made by OpenAI 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 GPT-6 Luna compare to Phi 4 Mini Reasoning in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Phi 4 Mini Reasoning scores MATH-500: 94.6%, AIME: 57.5%, GPQA: 52.0%.

What are the context window sizes for GPT-6 Luna and Phi 4 Mini Reasoning?

GPT-6 Luna supports 1.1M 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 GPT-6 Luna and Phi 4 Mini Reasoning?

Key differences include LLM Stats Score (44.5 vs 7.2), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Phi 4 Mini Reasoning?

GPT-6 Luna is developed by OpenAI and Phi 4 Mini Reasoning is developed by Microsoft.

Related comparisons