Model Comparison

GPT-4o mini vs Phi-4-multimodal-instruct

Both models are evenly matched across the benchmarks. Phi-4-multimodal-instruct is 4.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o mini outperforms in 1 benchmarks (MMMU), while Phi-4-multimodal-instruct is better at 1 benchmark (MathVista).

Both models are evenly matched across the benchmarks.

Wed Jun 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 3.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 6.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).

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

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

Lowest available price from all providers
Wed Jun 03 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Phi-4-multimodal-instruct can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Wed Jun 03 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4o mini and Phi-4-multimodal-instruct support multimodal inputs.

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

GPT-4o mini

Text
Images
Audio
Video

Phi-4-multimodal-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Phi-4-multimodal-instruct was released on 2025-02-01.

Phi-4-multimodal-instruct is 7 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.9 years ago

Phi-4-multimodal-instruct

Feb 1, 2025

1.3 years ago

6mo newer

Knowledge Cutoff

When training data ends

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

Phi-4-multimodal-instruct 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-multimodal-instruct

Jun 2024

8 mo newer

Provider Availability

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

GPT-4o mini

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

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher MMMU score (59.4% vs 55.1%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MathVista score (62.4% vs 56.7%)

Detailed Comparison

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

FAQ

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

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

Both models are evenly matched across the benchmarks. GPT-4o mini is made by OpenAI and Phi-4-multimodal-instruct is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4o mini compare to Phi-4-multimodal-instruct in benchmarks?

GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%.

Is GPT-4o mini cheaper than Phi-4-multimodal-instruct?

Phi-4-multimodal-instruct is 3.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for GPT-4o mini and Phi-4-multimodal-instruct?

GPT-4o mini supports 128K tokens and Phi-4-multimodal-instruct supports 128K 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-4-multimodal-instruct?

Key differences include input pricing ($0.15 vs $0.05/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-4o mini and Phi-4-multimodal-instruct?

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