Gemini 2.0 Flash vs Phi-3.5-mini-instruct Comparison

Comparing Gemini 2.0 Flash and Phi-3.5-mini-instruct across benchmarks, pricing, and capabilities.

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.

Mon Mar 23 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-3.5-mini-instruct costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) costs the same as Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 4.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, Gemini 2.0 Flash is more expensive than Phi-3.5-mini-instruct.*

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

Lowest available price from all providers
Mon Mar 23 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
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Context Window

Maximum input and output token capacity

Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Phi-3.5-mini-instruct's 128,000 tokens. Phi-3.5-mini-instruct can generate longer responses up to 128,000 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Mon Mar 23 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

1.3 years ago

3mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.6 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

Provider Availability

Gemini 2.0 Flash is available from Google. Phi-3.5-mini-instruct is available from Azure. The availability of providers can affect quality of the model and reliability.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Phi-3.5-mini-instruct

azure logo
Azure
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
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%)
Less expensive output tokens
Has open weights
GoogleGemini 2.0 Flash
MicrosoftPhi-3.5-mini-instruct

Detailed Comparison

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