Model Comparison

Gemini 2.0 Flash vs Phi-3.5-mini-instruct

Gemini 2.0 Flash significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Phi-3.5-mini-instruct is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Wed May 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Phi-3.5-mini-instruct specifies input context (128,000 tokens). Only Phi-3.5-mini-instruct specifies output context (128,000 tokens).

Google
Gemini 2.0 Flash
Input- tokens
Output- tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Wed May 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Phi-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash is licensed under a proprietary license, while Phi-3.5-mini-instruct uses MIT.

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

Gemini 2.0 Flash

Proprietary

Closed source

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Phi-3.5-mini-instruct was released on 2024-08-23.

Gemini 2.0 Flash is 3 months newer than Phi-3.5-mini-instruct.

Gemini 2.0 Flash

Dec 1, 2024

1.4 years ago

3mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Phi-3.5-mini-instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Phi-3.5-mini-instruct's cutoff date.

Gemini 2.0 Flash

Aug 2024

Phi-3.5-mini-instruct

—

Outputs Comparison

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Key Takeaways

Google
Supports multimodal inputs
Higher GPQA score (62.1% vs 30.4%)
Higher MATH score (89.7% vs 48.5%)
Higher MMLU-Pro score (76.4% vs 47.4%)
Microsoft
Larger context window (128,000 tokens)
Has open weights
GoogleGemini 2.0 Flash
MicrosoftPhi-3.5-mini-instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Gemini 2.0 Flash vs Phi-3.5-mini-instruct.

Which is better, Gemini 2.0 Flash or Phi-3.5-mini-instruct?

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google and Phi-3.5-mini-instruct 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 compare to Phi-3.5-mini-instruct in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.

What are the context window sizes for Gemini 2.0 Flash and Phi-3.5-mini-instruct?

Gemini 2.0 Flash supports an unknown number of tokens and Phi-3.5-mini-instruct supports 128K 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 and Phi-3.5-mini-instruct?

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 and Phi-3.5-mini-instruct?

Gemini 2.0 Flash is developed by Google and Phi-3.5-mini-instruct is developed by Microsoft.