Model Comparison

Gemini 2.5 Flash vs Phi 4Which is better in 2026?

Gemini 2.5 Flash significantly outperforms across most benchmarks. Phi 4 is 9.7x cheaper per token.

Verdict: Gemini 2.5 Flash vs Phi 4 — which is better?

Gemini 2.5 Flash (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 2.5 Flash outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks. Gemini 2.5 Flash significantly outperforms across most benchmarks.

On price, Phi 4 is roughly 9.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 2.5 Flash 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 May 2025

Choose Phi 4 if…

  • cost matters — it's about 9.7x 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 2.5 Flash outperforms in 2 benchmarks (GPQA, SimpleQA), while Phi 4 is better at 0 benchmarks.

Gemini 2.5 Flash significantly outperforms across most benchmarks.

Sun Jun 07 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 Flash ($0.30/1M tokens) is 4.3x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Gemini 2.5 Flash ($2.50/1M tokens) is 17.9x more expensive than Phi 4 ($0.14/1M tokens).

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

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
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 2.5 Flash accepts 1,048,576 input tokens compared to Phi 4's 16,000 tokens. Gemini 2.5 Flash can generate longer responses up to 65,536 tokens, while Phi 4 is limited to 16,000 tokens.

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

Gemini 2.5 Flash

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 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 2.5 Flash

Proprietary

Closed source

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

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

Gemini 2.5 Flash is 5 months newer than Phi 4.

Gemini 2.5 Flash

May 20, 2025

1.0 years ago

5mo newer
Phi 4

Dec 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

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

Gemini 2.5 Flash 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 Flash

Jan 2025

7 mo newer
Phi 4

Jun 2024

Provider Availability

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

Gemini 2.5 Flash

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

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 (82.8% vs 56.1%)
Higher SimpleQA score (26.9% vs 3.0%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 2.5 Flash
MicrosoftPhi 4
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Detailed Comparison

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

FAQ

Common questions about Gemini 2.5 Flash vs Phi 4.

Which is better, Gemini 2.5 Flash or Phi 4?

Gemini 2.5 Flash significantly outperforms across most benchmarks. Gemini 2.5 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.

How does Gemini 2.5 Flash compare to Phi 4 in benchmarks?

Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Gemini 2.5 Flash cheaper than Phi 4?

Phi 4 is 4.3x cheaper for input tokens. Gemini 2.5 Flash costs $0.30/M input and $2.50/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 2.5 Flash and Phi 4?

Gemini 2.5 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.

What are the main differences between Gemini 2.5 Flash and Phi 4?

Key differences include context window (1.0M vs 16K), input pricing ($0.30 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 2.5 Flash and Phi 4?

Gemini 2.5 Flash is developed by Google and Phi 4 is developed by Microsoft.

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