Model Comparison

Gemini 3.5 Flash-Lite vs Llama 3.2 11B InstructWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Llama 3.2 11B Instruct — which is better?

Gemini 3.5 Flash-Lite (by Google) and Llama 3.2 11B 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.

On price, Llama 3.2 11B Instruct is roughly 17.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Llama 3.2 11B Instruct if…

  • cost matters — it's about 17.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.5 Flash-Lite and Llama 3.2 11B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.2 11B Instruct costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 6.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 50.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).

In conclusion, Gemini 3.5 Flash-Lite 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
Tue Jul 21 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Meta
Llama 3.2 11B Instruct
Input tokens$0.05
Output tokens$0.05
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 3.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Meta
Llama 3.2 11B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and Llama 3.2 11B Instruct support multimodal inputs.

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

Gemini 3.5 Flash-Lite

Text
Images
Audio
Video

Llama 3.2 11B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite

Proprietary

Closed source

Llama 3.2 11B Instruct

Llama 3.2 Community License

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Llama 3.2 11B Instruct was released on 2024-09-25.

Gemini 3.5 Flash-Lite is 22 months newer than Llama 3.2 11B Instruct.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1.8yr newer
Llama 3.2 11B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a knowledge cutoff of 2026-03-31, while Llama 3.2 11B Instruct has a cutoff of 2023-12-31.

Gemini 3.5 Flash-Lite has more recent training data (up to 2026-03-31), making it potentially better informed about events through that date compared to Llama 3.2 11B Instruct (2023-12-31).

Gemini 3.5 Flash-Lite

Mar 2026

2.3 yr newer
Llama 3.2 11B Instruct

Dec 2023

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.

Gemini 3.5 Flash-Lite

google logo
Google
Input Price:Input: $0.30/1MOutput Price:Output: $2.50/1M

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

Google
Larger context window (1,048,576 tokens)
Meta
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.5 Flash-Lite and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Llama 3.2 11B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Meta
Llama 3.2 11B Instruct

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Llama 3.2 11B Instruct.

Which is better, Gemini 3.5 Flash-Lite or Llama 3.2 11B Instruct?

Gemini 3.5 Flash-Lite (Google) and Llama 3.2 11B Instruct (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.5 Flash-Lite compare to Llama 3.2 11B Instruct in benchmarks?

Gemini 3.5 Flash-Lite scores CharXiv-R: 76.5%, OSWorld-Verified: 74.0%, SWE-Bench Pro: 54.2%, Terminal-Bench 2.1: 54.0%, MLE-Bench: 39.2%. Llama 3.2 11B Instruct scores AI2D: 91.1%, DocVQA: 88.4%, ChartQA: 83.4%, VQAv2 (test): 75.2%, MMLU: 73.0%.

Is Gemini 3.5 Flash-Lite cheaper than Llama 3.2 11B Instruct?

Llama 3.2 11B Instruct is 6.0x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Llama 3.2 11B Instruct costs $0.05/M input and $0.05/M output via deepinfra.

What are the context window sizes for Gemini 3.5 Flash-Lite and Llama 3.2 11B Instruct?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Llama 3.2 11B 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 3.5 Flash-Lite and Llama 3.2 11B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $0.05/M), licensing (Proprietary vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Llama 3.2 11B Instruct?

Gemini 3.5 Flash-Lite is developed by Google and Llama 3.2 11B Instruct is developed by Meta.

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