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GPT-4o mini vs Phi-3.5-MoE-instruct

GPT-4o mini and Phi-3.5-MoE-instruct are closely matched at 3.8 and 1.9 on the LLM Stats Score.

OpenAI · Microsoft · Updated for 2026

Which is better?

GPT-4o mini and Phi-3.5-MoE-instruct are closely matched on the overall LLM Stats Score at 3.8 and 1.9.

In the 5 individual benchmarks reported for both models, GPT-4o mini wins 5; 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-4o mini

  • you value its reported benchmark strengths — it wins 5 of 5 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
3.8
#295
1.9
#306
4.2
#285
1.4
#299
-0.4
#236
-3.8
#245
Cost, coverage & limits
Benchmark wins
5 of 5
0 of 5
Input price
$0.15 / M
— / M
Output price
$0.60 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4o mini
Phi-3.5-MoE-instruct
11.8#234
4.7#274
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for GPT-4o mini · 31 for Phi-3.5-MoE-instruct

5 shared

GPT-4o mini outperforms in 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU), while Phi-3.5-MoE-instruct is better at 0 benchmarks.

GPT-4o mini significantly outperforms across most benchmarks.

Sun Sep 06 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-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Microsoft
Phi-3.5-MoE-instruct
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

GPT-4o mini

Text
Images
Audio
Video

Phi-3.5-MoE-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini 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-4o mini

Proprietary

Closed source

Phi-3.5-MoE-instruct

MIT

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Phi-3.5-MoE-instruct was released on 2024-08-23.

Phi-3.5-MoE-instruct is 1 month newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

2.1 years ago

Phi-3.5-MoE-instruct

Aug 23, 2024

2.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Phi-3.5-MoE-instruct's cutoff date is not specified.

We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Phi-3.5-MoE-instruct's cutoff date.

GPT-4o mini

Oct 2023

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-4o mini and Phi-3.5-MoE-instruct side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GPT-4o mini and Phi-3.5-MoE-instruct are closely matched on the LLM Stats Score at 3.8 and 1.9. GPT-4o mini 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-4o mini compare to Phi-3.5-MoE-instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. 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-4o mini and Phi-3.5-MoE-instruct?

GPT-4o mini supports 128K 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-4o mini and Phi-3.5-MoE-instruct?

Key differences include LLM Stats Score (3.8 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-4o mini and Phi-3.5-MoE-instruct?

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