GPT-4o vs Phi-4-multimodal-instruct
GPT-4o leads the LLM Stats Score 11.2 to 2.5. Phi-4-multimodal-instruct is 70.0x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-4o leads the overall LLM Stats Score 11.2 to 2.5, ranking #281 overall.
In the 1 individual benchmarks reported for both models, GPT-4o wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Phi-4-multimodal-instruct is roughly 70.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- overall performance matters — it scores 11.2 and ranks #281 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Phi-4-multimodal-instruct
- cost matters — it's about 70.0x cheaper per token
- you want the most recent training data — it shipped Feb 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
8 reported for GPT-4o · 15 for Phi-4-multimodal-instruct
GPT-4o outperforms in 1 benchmarks (MathVista), while Phi-4-multimodal-instruct is better at 0 benchmarks.
GPT-4o significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4o ($2.50/1M tokens) is 50.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 100.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, GPT-4o is more expensive than Phi-4-multimodal-instruct.*
* Using a 3:1 ratio of input to output tokens
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 is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4o and Phi-4-multimodal-instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4o
Phi-4-multimodal-instruct
License
Usage and distribution terms
GPT-4o 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.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while Phi-4-multimodal-instruct was released on 2025-02-01.
Phi-4-multimodal-instruct is 9 months newer than GPT-4o.
May 13, 2024
2.4 years ago
Feb 1, 2025
1.7 years ago
8mo newerKnowledge Cutoff
When training data ends
Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while GPT-4o's cutoff date is not specified.
We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without GPT-4o's cutoff date.
—
Jun 2024
Provider Availability
GPT-4o is available from Azure, OpenAI. Phi-4-multimodal-instruct is available from DeepInfra.
GPT-4o
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Phi-4-multimodal-instruct.
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