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GPT-6 Cyber vs Phi 4 Mini

GPT-6 Cyber leads the LLM Stats Score 41.0 to -4.6.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -4.6, ranking #77 overall.

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

Choose GPT-6 Cyber

  • overall performance matters — it scores 41.0 and ranks #77 on LLM Stats
  • you want the most recent training data — it shipped Nov 2026

Choose Phi 4 Mini

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

At a glance

The differences that matter most.

GPT-6 Cyber
OpenAI
Phi 4 Mini
Microsoft
Core performance indexes
LLM Stats Score
41.0
#77
-4.6
#390
Cost, coverage & limits
Benchmark wins
—
—
Input price
$20.00 / M
— / M
Output price
$100.00 / M
— / M
Context window
1,050,000
—

Individual benchmarks

1 reported for GPT-6 Cyber · 17 for Phi 4 Mini

No common benchmarks found

GPT-6 Cyber and Phi 4 Minidon'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 Cyber specifies input context (1,050,000 tokens). Only GPT-6 Cyber specifies output context (128,000 tokens).

OpenAI
GPT-6 Cyber
Input1,050,000 tokens
Output128,000 tokens
Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Mon Nov 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-6 Cyber

Text
Images
Audio
Video

Phi 4 Mini

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber 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-6 Cyber

Proprietary

Closed source

Phi 4 Mini

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while Phi 4 Mini was released on 2025-02-01.

GPT-6 Cyber is 21 months newer than Phi 4 Mini.

GPT-6 Cyber

Nov 5, 2026

3 days ago

1.8yr newer
Phi 4 Mini

Feb 1, 2025

1.8 years ago

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while GPT-6 Cyber'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 GPT-6 Cyber's cutoff date.

GPT-6 Cyber

—

Phi 4 Mini

Jun 2024

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and Phi 4 Mini side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Phi 4 Mini
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Phi 4 Mini.

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

GPT-6 Cyber leads the LLM Stats Score 41.0 to -4.6. GPT-6 Cyber 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-6 Cyber compare to Phi 4 Mini in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. 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-6 Cyber and Phi 4 Mini?

GPT-6 Cyber supports 1.1M 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-6 Cyber and Phi 4 Mini?

Key differences include LLM Stats Score (41.0 vs -4.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Cyber and Phi 4 Mini?

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

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