Gemini 1.5 Flash 8B vs Llama 3.2 11B Instruct Comparison

Comparing Gemini 1.5 Flash 8B and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 1.5 Flash 8B outperforms in 4 benchmarks (GPQA, MATH, MathVista, MMMU), while Llama 3.2 11B Instruct is better at 0 benchmarks.

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.

Mon Mar 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 1.4x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 6.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Gemini 1.5 Flash 8B is more expensive than Llama 3.2 11B Instruct.*

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

Lowest available price from all providers
Mon Mar 16 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
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Model Size

Parameter count comparison

2.6B diff

Llama 3.2 11B Instruct has 2.6B more parameters than Gemini 1.5 Flash 8B, making it 32.5% larger.

Google
Gemini 1.5 Flash 8B
8.0Bparameters
Meta
Llama 3.2 11B Instruct
10.6Bparameters
8.0B
Gemini 1.5 Flash 8B
10.6B
Llama 3.2 11B Instruct

Context Window

Maximum input and output token capacity

Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Llama 3.2 11B 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
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Mar 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Flash 8B and Llama 3.2 11B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Flash 8B is licensed under a proprietary license, while Llama 3.2 11B Instruct uses Llama 3.2 Community License.

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

Gemini 1.5 Flash 8B

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash 8B was released on 2024-03-15, while Llama 3.2 11B Instruct was released on 2024-09-25.

Llama 3.2 11B Instruct is 6 months newer than Gemini 1.5 Flash 8B.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.0 years ago

Llama 3.2 11B Instruct

Sep 25, 2024

1.5 years ago

6mo newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Gemini 1.5 Flash 8B

Oct 2024

10 mo newer
Llama 3.2 11B Instruct

Dec 2023

Provider Availability

Gemini 1.5 Flash 8B is available from Google. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks. The availability of providers can affect quality of the model and reliability.

Gemini 1.5 Flash 8B

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

Llama 3.2 11B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
sambanova logo
Sambanova
Input Price:Input: $0.15/1MOutput Price:Output: $0.30/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.16/1MOutput Price:Output: $0.16/1M
groq logo
Groq
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Higher GPQA score (38.4% vs 32.8%)
Higher MATH score (58.7% vs 51.9%)
Higher MathVista score (54.7% vs 51.5%)
Higher MMMU score (53.7% vs 50.7%)
Less expensive input tokens
Less expensive output tokens
Has open weights
GoogleGemini 1.5 Flash 8B
MetaLlama 3.2 11B Instruct

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
Meta
Llama 3.2 11B Instruct