Model Comparison

Gemini 2.5 Pro vs Phi 4

Gemini 2.5 Pro significantly outperforms across most benchmarks. Phi 4 is 39.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.5 Pro outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks.

Gemini 2.5 Pro significantly outperforms across most benchmarks.

Thu Apr 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Gemini 2.5 Pro ($1.25/1M tokens) is 17.9x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Gemini 2.5 Pro ($10.00/1M tokens) is 71.4x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Gemini 2.5 Pro is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Google
Gemini 2.5 Pro
Input tokens$1.25
Output tokens$10.00
Best providerGoogle
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 Pro accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Gemini 2.5 Pro can generate longer responses up to 65,536 tokens, while Phi 4 is limited to 16,000 tokens.

Google
Gemini 2.5 Pro
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Pro supports multimodal inputs, whereas Phi 4 does not.

Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.5 Pro

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 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.

Gemini 2.5 Pro

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Pro was released on 2025-05-20, while Phi 4 was released on 2024-12-12.

Gemini 2.5 Pro is 5 months newer than Phi 4.

Gemini 2.5 Pro

May 20, 2025

11 months ago

5mo newer
Phi 4

Dec 12, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Pro has a knowledge cutoff of 2025-01-31, while Phi 4 has a cutoff of 2024-06-01.

Gemini 2.5 Pro has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Phi 4 (2024-06-01).

Gemini 2.5 Pro

Jan 2025

7 mo newer
Phi 4

Jun 2024

Provider Availability

Gemini 2.5 Pro is available from Google. Phi 4 is available from DeepInfra.

Gemini 2.5 Pro

google logo
Google
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

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

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (83.0% vs 56.1%)
Higher SimpleQA score (50.8% vs 3.0%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Pro
MicrosoftPhi 4
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Pro
Microsoft
Phi 4

FAQ

Common questions about Gemini 2.5 Pro vs Phi 4

Gemini 2.5 Pro significantly outperforms across most benchmarks. Gemini 2.5 Pro 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 2.5 Pro scores MRCR: 93.0%, AIME 2024: 92.0%, Global-MMLU-Lite: 88.6%, Video-MME: 84.8%, AIME 2025: 83.0%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.
Phi 4 is 17.9x cheaper for input tokens. Gemini 2.5 Pro costs $1.25/M input and $10.00/M output via google. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.
Gemini 2.5 Pro 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 ($1.25 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Pro is developed by Google and Phi 4 is developed by Microsoft.