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GPT-6 Cyber vs Phi-3.5-vision-instruct

GPT-6 Cyber leads the LLM Stats Score 41.0 to -3.7.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-6 Cyber leads the overall LLM Stats Score 41.0 to -3.7, ranking #79 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 #79 on LLM Stats
  • you want the most recent training data — it shipped Nov 2026

Choose Phi-3.5-vision-instruct

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

At a glance

The differences that matter most.

Core performance indexes
41.0
#79
-3.7
#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 · 9 for Phi-3.5-vision-instruct

No common benchmarks found

GPT-6 Cyber and Phi-3.5-vision-instructdon'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-3.5-vision-instruct
Input- tokens
Output- tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Cyber and Phi-3.5-vision-instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Cyber

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6 Cyber is licensed under a proprietary license, while Phi-3.5-vision-instruct 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-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-6 Cyber was released on 2026-11-05, while Phi-3.5-vision-instruct was released on 2024-08-23.

GPT-6 Cyber is 27 months newer than Phi-3.5-vision-instruct.

GPT-6 Cyber

Nov 5, 2026

4 days ago

2.2yr newer
Phi-3.5-vision-instruct

Aug 23, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Cyber and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

GPT-6 Cyber
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground

FAQ

Common questions about GPT-6 Cyber vs Phi-3.5-vision-instruct.

Which is better, GPT-6 Cyber or Phi-3.5-vision-instruct?

GPT-6 Cyber leads the LLM Stats Score 41.0 to -3.7. GPT-6 Cyber is made by OpenAI and Phi-3.5-vision-instruct 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-3.5-vision-instruct in benchmarks?

GPT-6 Cyber scores ExploitGym: 48.5%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for GPT-6 Cyber and Phi-3.5-vision-instruct?

GPT-6 Cyber supports 1.1M tokens and Phi-3.5-vision-instruct 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-3.5-vision-instruct?

Key differences include LLM Stats Score (41.0 vs -3.7), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Cyber and Phi-3.5-vision-instruct?

GPT-6 Cyber is developed by OpenAI and Phi-3.5-vision-instruct is developed by Microsoft.