Gemini 1.0 Pro vs Phi 4
Phi 4 leads the LLM Stats Score 5.7 to -5.2. Phi 4 is 8.6x cheaper per token.
Google · Microsoft · Updated for 2026
Which is better?
Phi 4 leads the overall LLM Stats Score 5.7 to -5.2, ranking #284 overall.
In the 3 individual benchmarks reported for both models, Phi 4 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 8.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.0 Pro also accepts a larger context window (32,760 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 Gemini 1.0 Pro
- you process long inputs — it offers a 32,760 token context window
Choose Phi 4
- overall performance matters — it scores 5.7 and ranks #284 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- cost matters — it's about 8.6x 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
9 reported for Gemini 1.0 Pro · 13 for Phi 4
Gemini 1.0 Pro outperforms in 0 benchmarks, while Phi 4 is better at 3 benchmarks (GPQA, MATH, MMLU).
Phi 4 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, Gemini 1.0 Pro ($0.50/1M tokens) is 7.1x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Gemini 1.0 Pro ($1.50/1M tokens) is 10.7x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Gemini 1.0 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 1.0 Pro accepts 32,760 input tokens compared to Phi 4's 16,000 tokens. Phi 4 can generate longer responses up to 16,000 tokens, while Gemini 1.0 Pro is limited to 8,192 tokens.
License
Usage and distribution terms
Gemini 1.0 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 1.0 Pro was released on 2024-02-15, while Phi 4 was released on 2024-12-12.
Phi 4 is 10 months newer than Gemini 1.0 Pro.
Feb 15, 2024
2.5 years ago
Dec 12, 2024
1.7 years ago
10mo newerKnowledge Cutoff
When training data ends
Gemini 1.0 Pro has a knowledge cutoff of 2024-02-01, 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 1.0 Pro (2024-02-01).
Feb 2024
Jun 2024
4 mo newerProvider Availability
Gemini 1.0 Pro is available from Google. Phi 4 is available from DeepInfra.
Gemini 1.0 Pro
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.0 Pro and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.0 Pro vs Phi 4.