Model Comparison
Gemini 1.5 Pro vs Phi 4Which is better in 2026?
Gemini 1.5 Pro significantly outperforms across most benchmarks. Phi 4 is 50.0x cheaper per token.
Verdict: Gemini 1.5 Pro vs Phi 4 — which is better?
Gemini 1.5 Pro (by Google) and Phi 4 (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 1.5 Pro outperforms in 6 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU, MMLU-Pro), while Phi 4 is better at 1 benchmark (DROP). Gemini 1.5 Pro significantly outperforms across most benchmarks.
On price, Phi 4 is roughly 50.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Pro if…
- you want the strongest raw capability — it leads on 6 of 7 shared benchmarks
- you process long inputs — it offers a 2,097,152 token context window
Choose Phi 4 if…
- cost matters — it's about 50.0x 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
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Pro outperforms in 6 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU, MMLU-Pro), while Phi 4 is better at 1 benchmark (DROP).
Gemini 1.5 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 35.7x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 71.4x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than Phi 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas Phi 4 does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Pro
Phi 4
License
Usage and distribution terms
Gemini 1.5 Pro 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
Gemini 1.5 Pro was released on 2024-05-01, while Phi 4 was released on 2024-12-12.
Phi 4 is 8 months newer than Gemini 1.5 Pro.
May 1, 2024
2.3 years ago
Dec 12, 2024
1.7 years ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, 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 Gemini 1.5 Pro (2023-11-01).
Nov 2023
Jun 2024
7 mo newerProvider Availability
Gemini 1.5 Pro is available from Google. Phi 4 is available from DeepInfra.
Gemini 1.5 Pro
Phi 4
Outputs Comparison
Key Takeaways
Phi 4
View detailsMicrosoft
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 1.5 Pro and Phi 4 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 1.5 Pro vs Phi 4.