Model Comparison

GPT-4 vs Phi-3.5-mini-instruct

GPT-4 significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is 375.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

GPT-4 outperforms in 6 benchmarks (GPQA, HellaSwag, HumanEval, MGSM, MMLU, Winogrande), while Phi-3.5-mini-instruct is better at 1 benchmark (MATH).

GPT-4 significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-3.5-mini-instruct costs less

For input processing, GPT-4 ($30.00/1M tokens) is 300.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 600.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, GPT-4 is more expensive than Phi-3.5-mini-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Phi-3.5-mini-instruct accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Phi-3.5-mini-instruct can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas Phi-3.5-mini-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-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4 is licensed under a proprietary license, while Phi-3.5-mini-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-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

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

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

GPT-4

Jun 13, 2023

2.8 years ago

Phi-3.5-mini-instruct

Aug 23, 2024

1.6 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-mini-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-mini-instruct's cutoff date.

GPT-4

Dec 2022

Phi-3.5-mini-instruct

—

Provider Availability

GPT-4 is available from Azure, OpenAI. Phi-3.5-mini-instruct is available from Azure.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

Phi-3.5-mini-instruct

azure logo
Azure
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Supports multimodal inputs
Higher GPQA score (35.7% vs 30.4%)
Higher HellaSwag score (95.3% vs 69.4%)
Higher HumanEval score (67.0% vs 62.8%)
Higher MGSM score (74.5% vs 47.9%)
Higher MMLU score (86.4% vs 69.0%)
Higher Winogrande score (87.5% vs 68.5%)
Microsoft
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH score (48.5% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about GPT-4 vs Phi-3.5-mini-instruct

GPT-4 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and Phi-3.5-mini-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.
Phi-3.5-mini-instruct is 300.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. Phi-3.5-mini-instruct costs $0.10/M input and $0.10/M output via azure.
GPT-4 supports 33K tokens and Phi-3.5-mini-instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 128K), input pricing ($30.00 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-4 is developed by OpenAI and Phi-3.5-mini-instruct is developed by Microsoft.