Model Comparison

Gemini 2.0 Flash-Lite vs Phi 4 ReasoningWhich is better in 2026?

Phi 4 Reasoning significantly outperforms across most benchmarks.

Verdict: Gemini 2.0 Flash-Lite vs Phi 4 Reasoning — which is better?

Gemini 2.0 Flash-Lite (by Google) and Phi 4 Reasoning (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 2.0 Flash-Lite outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 2 benchmarks (GPQA, MMLU-Pro). Phi 4 Reasoning significantly outperforms across most benchmarks.

Choose Gemini 2.0 Flash-Lite if…

  • you want predictable pricing at $0.07/M input and $0.30/M output

Choose Phi 4 Reasoning if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 2.0 Flash-Lite outperforms in 0 benchmarks, while Phi 4 Reasoning is better at 2 benchmarks (GPQA, MMLU-Pro).

Phi 4 Reasoning significantly outperforms across most benchmarks.

Sat Jun 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash-Lite specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash-Lite specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash-Lite
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash-Lite supports multimodal inputs, whereas Phi 4 Reasoning does not.

Gemini 2.0 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash-Lite

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash-Lite is licensed under a proprietary license, while Phi 4 Reasoning uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash-Lite

Proprietary

Closed source

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash-Lite was released on 2025-02-05, while Phi 4 Reasoning was released on 2025-04-30.

Phi 4 Reasoning is 3 months newer than Gemini 2.0 Flash-Lite.

Gemini 2.0 Flash-Lite

Feb 5, 2025

1.4 years ago

Phi 4 Reasoning

Apr 30, 2025

1.2 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash-Lite has a knowledge cutoff of 2024-06-01, while Phi 4 Reasoning has a cutoff of 2025-03-01.

Phi 4 Reasoning has more recent training data (up to 2025-03-01), making it potentially better informed about events through that date compared to Gemini 2.0 Flash-Lite (2024-06-01).

Gemini 2.0 Flash-Lite

Jun 2024

Phi 4 Reasoning

Mar 2025

9 mo newer

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Microsoft
Has open weights
Higher GPQA score (65.8% vs 51.5%)
Higher MMLU-Pro score (74.3% vs 71.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash-Lite and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash-Lite
✓ Preferred
Phi 4 Reasoning
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash-Lite
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Gemini 2.0 Flash-Lite vs Phi 4 Reasoning.

Which is better, Gemini 2.0 Flash-Lite or Phi 4 Reasoning?

Phi 4 Reasoning significantly outperforms across most benchmarks. Gemini 2.0 Flash-Lite is made by Google and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.0 Flash-Lite compare to Phi 4 Reasoning in benchmarks?

Gemini 2.0 Flash-Lite scores MATH: 86.8%, FACTS Grounding: 83.6%, Global-MMLU-Lite: 78.2%, MMLU-Pro: 71.6%, MMMU: 68.0%. Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Gemini 2.0 Flash-Lite and Phi 4 Reasoning?

Gemini 2.0 Flash-Lite supports 1.0M tokens and Phi 4 Reasoning supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash-Lite and Phi 4 Reasoning?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash-Lite and Phi 4 Reasoning?

Gemini 2.0 Flash-Lite is developed by Google and Phi 4 Reasoning is developed by Microsoft.

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