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GPT-4 vs Phi-3.5-MoE-instruct

GPT-4 and Phi-3.5-MoE-instruct are closely matched at 3.2 and 1.9 on the LLM Stats Score.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-4 and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at 3.2 and 1.9.

In the 7 individual benchmarks reported for both models, GPT-4 wins 4; 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-4

  • you value its reported benchmark strengths — it wins 4 of 7 exact shared results

Choose Phi-3.5-MoE-instruct

  • you want the most recent training data — it shipped Aug 2024
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
3.2
#298
1.9
#306
3.3
#289
1.4
#299
-5.1
#251
-3.8
#245
Cost, coverage & limits
Benchmark wins
4 of 7
3 of 7
Input price
$30.00 / M
— / M
Output price
$60.00 / M
— / M
Context window
32,768

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
Phi-3.5-MoE-instruct
8.8#251
4.7#274
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 31 for Phi-3.5-MoE-instruct

7 shared

GPT-4 outperforms in 4 benchmarks (HellaSwag, MGSM, MMLU, Winogrande), while Phi-3.5-MoE-instruct is better at 3 benchmarks (GPQA, HumanEval, MATH).

GPT-4 has a slight edge in benchmark performance.

Mon Sep 07 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-4 specifies input context (32,768 tokens). Only GPT-4 specifies output context (32,768 tokens).

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-4 supports multimodal inputs, whereas Phi-3.5-MoE-instruct does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Phi-3.5-MoE-instruct uses MIT.

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

GPT-4

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 15 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.2 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

1.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

GPT-4

Dec 2022

Phi-3.5-MoE-instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
Phi-3.5-MoE-instruct
Open in Playground

FAQ

Common questions about GPT-4 vs Phi-3.5-MoE-instruct.

Which is better, GPT-4 or Phi-3.5-MoE-instruct?

GPT-4 and Phi-3.5-MoE-instruct are closely matched on the LLM Stats Score at 3.2 and 1.9. GPT-4 is made by OpenAI and Phi-3.5-MoE-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-4 compare to Phi-3.5-MoE-instruct in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. Phi-3.5-MoE-instruct scores ARC-C: 91.0%, OpenBookQA: 89.6%, GSM8k: 88.7%, PIQA: 88.6%, RULER: 87.1%.

What are the context window sizes for GPT-4 and Phi-3.5-MoE-instruct?

GPT-4 supports 33K tokens and Phi-3.5-MoE-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-4 and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (3.2 vs 1.9), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4 and Phi-3.5-MoE-instruct?

GPT-4 is developed by OpenAI and Phi-3.5-MoE-instruct is developed by Microsoft.