Model Comparison

Gemini 3 Pro vs Phi 4Which is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks. Phi 4 is 51.4x cheaper per token.

Verdict: Gemini 3 Pro vs Phi 4 — which is better?

Gemini 3 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 3 Pro outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

On price, Phi 4 is roughly 51.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Nov 2025

Choose Phi 4 if…

  • cost matters — it's about 51.4x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3 Pro outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks.

Gemini 3 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Gemini 3 Pro ($2.00/1M tokens) is 28.6x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Gemini 3 Pro ($12.00/1M tokens) is 85.7x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Gemini 3 Pro is more expensive than Phi 4.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3 Pro
Input tokens$2.00
Output tokens$12.00
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 3 Pro accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Gemini 3 Pro can generate longer responses up to 65,536 tokens, while Phi 4 is limited to 16,000 tokens.

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3 Pro supports multimodal inputs, whereas Phi 4 does not.

Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3 Pro

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 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 3 Pro

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Phi 4 was released on 2024-12-12.

Gemini 3 Pro is 11 months newer than Phi 4.

Gemini 3 Pro

Nov 18, 2025

6 months ago

11mo newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a knowledge cutoff of 2025-01-31, while Phi 4 has a cutoff of 2024-06-01.

Gemini 3 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 3 Pro

Jan 2025

7 mo newer
Phi 4

Jun 2024

Provider Availability

Gemini 3 Pro is available from Google. Phi 4 is available from DeepInfra.

Gemini 3 Pro

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

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 (91.9% vs 56.1%)
Higher SimpleQA score (72.1% vs 3.0%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Microsoft
Phi 4

FAQ

Common questions about Gemini 3 Pro vs Phi 4.

Which is better, Gemini 3 Pro or Phi 4?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 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.

How does Gemini 3 Pro compare to Phi 4 in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Gemini 3 Pro cheaper than Phi 4?

Phi 4 is 28.6x cheaper for input tokens. Gemini 3 Pro costs $2.00/M input and $12.00/M output via google. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Gemini 3 Pro and Phi 4?

Gemini 3 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.

What are the main differences between Gemini 3 Pro and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($2.00 vs $0.07/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3 Pro and Phi 4?

Gemini 3 Pro is developed by Google and Phi 4 is developed by Microsoft.

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