Model Comparison

Gemini 1.5 Flash vs Phi 4

Phi 4 significantly outperforms across most benchmarks. Phi 4 is 3.0x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

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.

Wed Apr 01 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

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

Lowest available price from all providers
Wed Apr 01 2026 • llm-stats.com
Google
Gemini 1.5 Flash
Input tokens$0.15
Output tokens$0.60
Best providerGoogle
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
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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.

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Wed Apr 01 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

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.

Gemini 1.5 Flash

Proprietary

Closed source

Phi 4

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.

Gemini 1.5 Flash

May 1, 2024

1.9 years ago

Phi 4

Dec 12, 2024

1.3 years ago

7mo newer

Knowledge 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).

Gemini 1.5 Flash

Nov 2023

Phi 4

Jun 2024

7 mo newer

Provider Availability

Gemini 1.5 Flash is available from Google. Phi 4 is available from DeepInfra.

Gemini 1.5 Flash

google logo
Google
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher MGSM score (82.6% vs 80.6%)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (56.1% vs 51.0%)
Higher HumanEval score (82.6% vs 74.3%)
Higher MATH score (80.4% vs 77.9%)
Higher MMLU score (84.8% vs 78.9%)
Higher MMLU-Pro score (70.4% vs 67.3%)
GoogleGemini 1.5 Flash
MicrosoftPhi 4

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Microsoft
Phi 4

FAQ

Common questions about Gemini 1.5 Flash vs Phi 4

Phi 4 significantly outperforms across most benchmarks. Gemini 1.5 Flash is made by Google and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 1.5 Flash scores XSTest: 97.0%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%, MGSM: 82.6%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 2.1x cheaper for input tokens. Gemini 1.5 Flash costs $0.15/M input and $0.60/M output via google. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
Gemini 1.5 Flash supports 1.0M tokens and Phi 4 supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (1.0M vs 16K), input pricing ($0.15 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Flash is developed by Google and Phi 4 is developed by Microsoft.