Model Comparison

Gemini 3.1 Pro vs Phi 4Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Phi 4 is 64.3x cheaper per token.

Verdict: Gemini 3.1 Pro vs Phi 4 — which is better?

Gemini 3.1 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 3.1 Pro outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Phi 4 is roughly 64.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 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 3.1 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Phi 4 if…

  • cost matters — it's about 64.3x 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

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Phi 4 is better at 0 benchmarks.

Gemini 3.1 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 3.1 Pro ($2.50/1M tokens) is 35.7x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 107.1x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Gemini 3.1 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 3.1 Pro
Input tokens$2.50
Output tokens$15.00
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 3.1 Pro accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Phi 4 is limited to 16,000 tokens.

Google
Gemini 3.1 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 3.1 Pro supports multimodal inputs, whereas Phi 4 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 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 3.1 Pro

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Phi 4 was released on 2024-12-12.

Gemini 3.1 Pro is 14 months newer than Phi 4.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.2yr newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Phi 4 has a cutoff of 2024-06-01.

Gemini 3.1 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 3.1 Pro

Jan 2025

7 mo newer
Phi 4

Jun 2024

Provider Availability

Gemini 3.1 Pro is available from Google. Phi 4 is available from DeepInfra.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Phi 4

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Higher GPQA score (94.3% vs 56.1%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Microsoft
Phi 4

FAQ

Common questions about Gemini 3.1 Pro vs Phi 4.

Which is better, Gemini 3.1 Pro or Phi 4?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 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 3.1 Pro compare to Phi 4 in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Gemini 3.1 Pro cheaper than Phi 4?

Phi 4 is 35.7x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/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 3.1 Pro and Phi 4?

Gemini 3.1 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 3.1 Pro and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($2.50 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 3.1 Pro and Phi 4?

Gemini 3.1 Pro is developed by Google and Phi 4 is developed by Microsoft.

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