Model Comparison

Gemini 1.5 Flash 8B vs Phi-3.5-mini-instruct

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Phi-3.5-mini-instruct is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.5 Flash 8B outperforms in 3 benchmarks (GPQA, MATH, MMLU-Pro), while Phi-3.5-mini-instruct is better at 0 benchmarks.

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Sat Apr 18 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 1.5 Flash 8B ($0.07/1M tokens) is 1.4x cheaper than Phi-3.5-mini-instruct ($0.10/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 3.0x more expensive than Phi-3.5-mini-instruct ($0.10/1M tokens).

In conclusion, Gemini 1.5 Flash 8B 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
Sat Apr 18 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Microsoft
Phi-3.5-mini-instruct
Input tokens$0.10
Output tokens$0.10
Best providerAzure
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Model Size

Parameter count comparison

4.2B diff

Gemini 1.5 Flash 8B has 4.2B more parameters than Phi-3.5-mini-instruct, making it 110.5% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Microsoft
Phi-3.5-mini-instruct
3.8Bparameters
8.0B
Gemini 1.5 Flash 8B
3.8B
Phi-3.5-mini-instruct

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B 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 1.5 Flash 8B is limited to 8,192 tokens.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Microsoft
Phi-3.5-mini-instruct
Input128,000 tokens
Output128,000 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Phi-3.5-mini-instruct does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Phi-3.5-mini-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Phi-3.5-mini-instruct

MIT

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Phi-3.5-mini-instruct was released on 2024-08-23.

Phi-3.5-mini-instruct is 5 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

Phi-3.5-mini-instruct

Aug 23, 2024

1.7 years ago

5mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Phi-3.5-mini-instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Phi-3.5-mini-instruct's cutoff date.

Gemini 1.5 Flash 8B

Oct 2024

Phi-3.5-mini-instruct

—

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Phi-3.5-mini-instruct is available from Azure.

Gemini 1.5 Flash 8B

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

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

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (38.4% vs 30.4%)
Higher MATH score (58.7% vs 48.5%)
Higher MMLU-Pro score (58.7% vs 47.4%)
Microsoft
Less expensive output tokens
Has open weights
GoogleGemini 1.5 Flash 8B
MicrosoftPhi-3.5-mini-instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Microsoft
Phi-3.5-mini-instruct

FAQ

Common questions about Gemini 1.5 Flash 8B vs Phi-3.5-mini-instruct

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B 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.
Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. Phi-3.5-mini-instruct scores GSM8k: 86.2%, ARC-C: 84.6%, RULER: 84.1%, PIQA: 81.0%, OpenBookQA: 79.2%.
Gemini 1.5 Flash 8B is 1.4x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. Phi-3.5-mini-instruct costs $0.10/M input and $0.10/M output via azure.
Gemini 1.5 Flash 8B 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.
Key differences include context window (1.0M vs 128K), input pricing ($0.07 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Flash 8B is developed by Google and Phi-3.5-mini-instruct is developed by Microsoft.