Model Comparison
Gemini 3.5 Flash-Lite vs Llama 4 MaverickWhich is better in 2026?
Comparing Gemini 3.5 Flash-Lite and Llama 4 Maverick across benchmarks, pricing, and capabilities.
Verdict: Gemini 3.5 Flash-Lite vs Llama 4 Maverick — which is better?
Gemini 3.5 Flash-Lite (by Google) and Llama 4 Maverick (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 4 Maverick is roughly 3.1x 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 4 Maverick if…
- cost matters — it's about 3.1x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite and Llama 4 Maverickdon'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
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.8x more expensive than Llama 4 Maverick ($0.17/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 4.2x more expensive than Llama 4 Maverick ($0.60/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than Llama 4 Maverick.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Llama 4 Maverick's 1,000,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and Llama 4 Maverick support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
Llama 4 Maverick
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Llama 4 Maverick uses Llama 4 Community License Agreement.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Llama 4 Community License Agreement
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while Llama 4 Maverick was released on 2025-04-05.
Gemini 3.5 Flash-Lite is 16 months newer than Llama 4 Maverick.
Jul 21, 2026
0 days ago
1.3yr newerApr 5, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Llama 4 Maverick'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 4 Maverick's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.
Gemini 3.5 Flash-Lite
Llama 4 Maverick
Outputs Comparison
Key Takeaways
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and Llama 4 Maverick side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs Llama 4 Maverick.