GPT-4 Turbo vs Phi 4
GPT-4 Turbo and Phi 4 are closely matched at 9.6 and 6.0 on the LLM Stats Score. Phi 4 is 171.4x cheaper per token.
OpenAI · Microsoft · Updated for 2026
Which is better?
GPT-4 Turbo and Phi 4 are closely matched on the overall LLM Stats Score at 9.6 and 6.0.
In the 6 individual benchmarks reported for both models, GPT-4 Turbo wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 171.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 Turbo also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- you process long inputs — it offers a 128,000 token context window
Choose Phi 4
- cost matters — it's about 171.4x cheaper per token
- you want the most recent training data — it shipped Dec 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for GPT-4 Turbo · 13 for Phi 4
GPT-4 Turbo outperforms in 4 benchmarks (DROP, HumanEval, MGSM, MMLU), while Phi 4 is better at 2 benchmarks (GPQA, MATH).
GPT-4 Turbo shows notably better performance in the majority of benchmarks.
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 142.9x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 214.3x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4 Turbo accepts 128,000 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-4 Turbo 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.
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 was released on 2024-12-12.
Phi 4 is 8 months newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
Dec 12, 2024
1.7 years ago
8mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, 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-4 Turbo (2023-12-31).
Dec 2023
Jun 2024
6 mo newerProvider Availability
GPT-4 Turbo is available from Azure, OpenAI. Phi 4 is available from DeepInfra.
GPT-4 Turbo
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Phi 4.