Model Comparison

Gemini 3.5 Flash-Lite vs Llama 3.2 90B InstructWhich is better in 2026?

Comparing Gemini 3.5 Flash-Lite and Llama 3.2 90B Instruct across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.5 Flash-Lite vs Llama 3.2 90B Instruct — which is better?

Gemini 3.5 Flash-Lite (by Google) and Llama 3.2 90B 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 90B Instruct is roughly 2.3x 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 90B Instruct if…

  • cost matters — it's about 2.3x 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 90B 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 90B Instruct costs less

For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.2x cheaper than Llama 3.2 90B Instruct ($0.35/1M tokens).

For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 6.3x more expensive than Llama 3.2 90B Instruct ($0.40/1M tokens).

In conclusion, Gemini 3.5 Flash-Lite is more expensive than Llama 3.2 90B Instruct.*

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

Lowest available price from all providers
Wed Jul 22 2026 • llm-stats.com
Google
Gemini 3.5 Flash-Lite
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
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 90B Instruct's 128,000 tokens. Llama 3.2 90B 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 90B Instruct
Input128,000 tokens
Output128,000 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.5 Flash-Lite and Llama 3.2 90B 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 90B 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 90B Instruct uses Llama 3.2.

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 90B Instruct

Llama 3.2

Open weights

Release Timeline

When each model was launched

Gemini 3.5 Flash-Lite was released on 2026-07-21, while Llama 3.2 90B Instruct was released on 2024-09-25.

Gemini 3.5 Flash-Lite is 22 months newer than Llama 3.2 90B Instruct.

Gemini 3.5 Flash-Lite

Jul 21, 2026

0 days ago

1.8yr newer
Llama 3.2 90B Instruct

Sep 25, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Llama 3.2 90B Instruct's cutoff date is not specified.

We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Llama 3.2 90B Instruct's cutoff date.

Gemini 3.5 Flash-Lite

Mar 2026

Llama 3.2 90B Instruct

—

Provider Availability

Gemini 3.5 Flash-Lite is available from Google. Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic.

Gemini 3.5 Flash-Lite

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

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M
* 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)
Less expensive input tokens
Meta
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 90B Instruct side-by-side, then vote on the output you prefer.

Gemini 3.5 Flash-Lite
✓ Preferred
Llama 3.2 90B Instruct
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.5 Flash-Lite
Meta
Llama 3.2 90B Instruct

FAQ

Common questions about Gemini 3.5 Flash-Lite vs Llama 3.2 90B Instruct.

Which is better, Gemini 3.5 Flash-Lite or Llama 3.2 90B Instruct?

Gemini 3.5 Flash-Lite (Google) and Llama 3.2 90B 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 90B 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 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%.

Is Gemini 3.5 Flash-Lite cheaper than Llama 3.2 90B Instruct?

Gemini 3.5 Flash-Lite is 1.2x cheaper for input tokens. Gemini 3.5 Flash-Lite costs $0.30/M input and $2.50/M output via google. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra.

What are the context window sizes for Gemini 3.5 Flash-Lite and Llama 3.2 90B Instruct?

Gemini 3.5 Flash-Lite supports 1.0M tokens and Llama 3.2 90B 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 90B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($0.30 vs $0.35/M), licensing (Proprietary vs Llama 3.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.5 Flash-Lite and Llama 3.2 90B Instruct?

Gemini 3.5 Flash-Lite is developed by Google and Llama 3.2 90B Instruct is developed by Meta.

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