Model Comparison
Gemini 1.5 Flash 8B vs Llama 3.2 3B InstructWhich is better in 2026?
Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Llama 3.2 3B Instruct is 10.2x cheaper per token.
Verdict: Gemini 1.5 Flash 8B vs Llama 3.2 3B Instruct — which is better?
Gemini 1.5 Flash 8B (by Google) and Llama 3.2 3B Instruct (by Meta) 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 1.5 Flash 8B outperforms in 2 benchmarks (GPQA, MATH), while Llama 3.2 3B Instruct is better at 0 benchmarks. Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.
On price, Llama 3.2 3B Instruct is roughly 10.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 1.5 Flash 8B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose Llama 3.2 3B Instruct if…
- cost matters — it's about 10.2x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash 8B outperforms in 2 benchmarks (GPQA, MATH), while Llama 3.2 3B Instruct is better at 0 benchmarks.
Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 7.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 15.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).
In conclusion, Gemini 1.5 Flash 8B is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Gemini 1.5 Flash 8B has 4.8B more parameters than Llama 3.2 3B Instruct, making it 149.2% larger.
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while Gemini 1.5 Flash 8B is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash 8B supports multimodal inputs, whereas Llama 3.2 3B 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
Llama 3.2 3B Instruct
License
Usage and distribution terms
Gemini 1.5 Flash 8B is licensed under a proprietary license, while Llama 3.2 3B Instruct uses Llama 3.2 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
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 3B Instruct was released on 2024-09-25.
Llama 3.2 3B Instruct is 6 months newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.2 years ago
Sep 25, 2024
1.7 years ago
6mo newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Llama 3.2 3B 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 Llama 3.2 3B Instruct's cutoff date.
Oct 2024
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Provider Availability
Gemini 1.5 Flash 8B is available from Google. Llama 3.2 3B Instruct is available from DeepInfra.
Gemini 1.5 Flash 8B
Llama 3.2 3B Instruct
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 1.5 Flash 8B vs Llama 3.2 3B Instruct.