Gemini 1.5 Flash vs Phi 4
Gemini 1.5 Flash and Phi 4 are closely matched at 6.6 and 6.0 on the LLM Stats Score. Phi 4 is 3.0x cheaper per token.
Google · Microsoft · Updated for 2026
Which is better?
Gemini 1.5 Flash and Phi 4 are closely matched on the overall LLM Stats Score at 6.6 and 6.0.
In the 6 individual benchmarks reported for both models, Phi 4 wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Phi 4 is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash also accepts a larger context window (1,048,576 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 1.5 Flash
- you process long inputs — it offers a 1,048,576 token context window
Choose Phi 4
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- cost matters — it's about 3.0x 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
22 reported for Gemini 1.5 Flash · 13 for Phi 4
Gemini 1.5 Flash outperforms in 1 benchmarks (MGSM), while Phi 4 is better at 5 benchmarks (GPQA, HumanEval, MATH, MMLU, MMLU-Pro).
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 1.5 Flash ($0.15/1M tokens) is 2.1x more expensive than Phi 4 ($0.07/1M tokens).
For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 4.3x more expensive than Phi 4 ($0.14/1M tokens).
In conclusion, Gemini 1.5 Flash 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 Flash accepts 1,048,576 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 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Flash supports multimodal inputs, whereas Phi 4 does not.
Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash
Phi 4
License
Usage and distribution terms
Gemini 1.5 Flash 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 Flash 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 Flash.
May 1, 2024
2.3 years ago
Dec 12, 2024
1.7 years ago
7mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 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 Flash (2023-11-01).
Nov 2023
Jun 2024
7 mo newerProvider Availability
Gemini 1.5 Flash is available from Google. Phi 4 is available from DeepInfra.
Gemini 1.5 Flash
Phi 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash and Phi 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash vs Phi 4.