GPT-4 Turbo vs Phi-4-multimodal-instruct
GPT-4 Turbo leads the LLM Stats Score 9.1 to 3.0. Phi-4-multimodal-instruct is 240.0x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-4 Turbo leads the overall LLM Stats Score 9.1 to 3.0, ranking #261 overall.
On price, Phi-4-multimodal-instruct is roughly 240.0x 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-4 Turbo
- overall performance matters — it scores 9.1 and ranks #261 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
Choose Phi-4-multimodal-instruct
- cost matters — it's about 240.0x 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
6 reported for GPT-4 Turbo · 15 for Phi-4-multimodal-instruct
GPT-4 Turbo and Phi-4-multimodal-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 200.0x more expensive than Phi-4-multimodal-instruct ($0.05/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 300.0x more expensive than Phi-4-multimodal-instruct ($0.10/1M tokens).
In conclusion, GPT-4 Turbo 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-4 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
Phi-4-multimodal-instruct supports multimodal inputs, whereas GPT-4 Turbo does not.
Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
Phi-4-multimodal-instruct
License
Usage and distribution terms
GPT-4 Turbo 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-4 Turbo was released on 2024-04-09, while Phi-4-multimodal-instruct was released on 2025-02-01.
Phi-4-multimodal-instruct is 10 months newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
Feb 1, 2025
1.6 years ago
9mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, 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-4 Turbo (2023-12-31).
Dec 2023
Jun 2024
6 mo newerProvider Availability
GPT-4 Turbo is available from Azure, OpenAI. Phi-4-multimodal-instruct is available from DeepInfra.
GPT-4 Turbo
Phi-4-multimodal-instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Phi-4-multimodal-instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Phi-4-multimodal-instruct.