Model Comparison

GPT-4o mini vs Phi 4

Both models are evenly matched across the benchmarks. Phi 4 is 3.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4o mini outperforms in 3 benchmarks (DROP, HumanEval, MGSM), while Phi 4 is better at 3 benchmarks (GPQA, MATH, MMLU).

Both models are evenly matched across the benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 2.1x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 4.3x more expensive than Phi 4 ($0.14/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4o mini accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. GPT-4o mini can generate longer responses up to 16,384 tokens, while Phi 4 is limited to 16,000 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Phi 4 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 4

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Phi 4 was released on 2024-12-12.

Phi 4 is 5 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Phi 4

Dec 12, 2024

1.3 years ago

4mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a knowledge cutoff of 2023-10-01, while Phi 4 has a cutoff of 2024-06-01.

Phi 4 has more recent training data (up to 2024-06-01), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).

GPT-4o mini

Oct 2023

Phi 4

Jun 2024

8 mo newer

Provider Availability

GPT-4o mini is available from Azure. Phi 4 is available from DeepInfra.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Higher DROP score (79.7% vs 75.5%)
Higher HumanEval score (87.2% vs 82.6%)
Higher MGSM score (87.0% vs 80.6%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (56.1% vs 40.2%)
Higher MATH score (80.4% vs 70.2%)
Higher MMLU score (84.8% vs 82.0%)

Detailed Comparison

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

FAQ

Common questions about GPT-4o mini vs Phi 4

Both models are evenly matched across the benchmarks. GPT-4o mini is made by OpenAI and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 2.1x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
GPT-4o mini supports 128K tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 16K), input pricing ($0.15 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
GPT-4o mini is developed by OpenAI and Phi 4 is developed by Microsoft.