Model Comparison

Gemini 2.0 Flash vs Phi-3.5-mini-instructWhich is better in 2026?

Gemini 2.0 Flash significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is 1.8x cheaper per token.

Verdict: Gemini 2.0 Flash vs Phi-3.5-mini-instruct — which is better?

Gemini 2.0 Flash (by Google) and Phi-3.5-mini-instruct (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 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.

On price, Phi-3.5-mini-instruct is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.0 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 2.0 Flash if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Dec 2024

Choose Phi-3.5-mini-instruct if…

  • cost matters — it's about 1.8x 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

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 Jun 10 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
Wed Jun 10 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
Notice missing or incorrect data?Start an Issue→

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
Wed Jun 10 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

1.5 years ago

3mo newer
Phi-3.5-mini-instruct

Aug 23, 2024

1.8 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.

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

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 (62.1% vs 30.4%)
Higher MATH score (89.7% vs 48.5%)
Higher MMLU-Pro score (76.4% vs 47.4%)
Microsoft
Less expensive output tokens
Has open weights
GoogleGemini 2.0 Flash
MicrosoftPhi-3.5-mini-instruct
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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%.

Is Gemini 2.0 Flash cheaper than Phi-3.5-mini-instruct?

Both models cost $0.10 per million input tokens.

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

Gemini 2.0 Flash supports 1.0M 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 context window (1.0M vs 128K), 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.

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