Model Comparison

Gemini 2.5 Flash-Lite vs Llama 4 MaverickWhich is better in 2026?

Llama 4 Maverick significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 1.6x cheaper per token.

Verdict: Gemini 2.5 Flash-Lite vs Llama 4 Maverick — which is better?

Gemini 2.5 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.

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Llama 4 Maverick is better at 3 benchmarks (GPQA, LiveCodeBench, MMMU). Llama 4 Maverick significantly outperforms across most benchmarks.

On price, Gemini 2.5 Flash-Lite is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 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 2.5 Flash-Lite if…

  • cost matters — it's about 1.6x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jun 2025

Choose Llama 4 Maverick if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Llama 4 Maverick is better at 3 benchmarks (GPQA, LiveCodeBench, MMMU).

Llama 4 Maverick significantly outperforms across most benchmarks.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.5 Flash-Lite costs less

For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 1.7x cheaper than Llama 4 Maverick ($0.17/1M tokens).

For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 1.5x cheaper than Llama 4 Maverick ($0.60/1M tokens).

In conclusion, Llama 4 Maverick is more expensive than Gemini 2.5 Flash-Lite.*

* 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 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Meta
Llama 4 Maverick
Input tokens$0.17
Output tokens$0.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 2.5 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 2.5 Flash-Lite is limited to 65,536 tokens.

Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Wed Jul 22 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash-Lite and Llama 4 Maverick support multimodal inputs.

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

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

Llama 4 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 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.

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash-Lite was released on 2025-06-17, while Llama 4 Maverick was released on 2025-04-05.

Gemini 2.5 Flash-Lite is 2 months newer than Llama 4 Maverick.

Gemini 2.5 Flash-Lite

Jun 17, 2025

1.1 years ago

2mo newer
Llama 4 Maverick

Apr 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Llama 4 Maverick's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Llama 4 Maverick's cutoff date.

Gemini 2.5 Flash-Lite

Jan 2025

Llama 4 Maverick

—

Provider Availability

Gemini 2.5 Flash-Lite is available from Google. Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova.

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

Llama 4 Maverick

deepinfra logo
Deepinfra
Input Price:Input: $0.17/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.17/1MOutput Price:Output: $0.85/1M
lambda logo
Lambda
Input Price:Input: $0.18/1MOutput Price:Output: $0.60/1M
groq logo
Groq
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.88/1M
together logo
Together
Input Price:Input: $0.27/1MOutput Price:Output: $0.85/1M
sambanova logo
Sambanova
Input Price:Input: $0.63/1MOutput Price:Output: $1.79/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Meta
Higher GPQA score (69.8% vs 64.6%)
Higher LiveCodeBench score (43.4% vs 33.7%)
Higher MMMU score (73.4% vs 72.9%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 2.5 Flash-Lite and Llama 4 Maverick side-by-side, then vote on the output you prefer.

Gemini 2.5 Flash-Lite
✓ Preferred
Llama 4 Maverick
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash-Lite
Meta
Llama 4 Maverick

FAQ

Common questions about Gemini 2.5 Flash-Lite vs Llama 4 Maverick.

Which is better, Gemini 2.5 Flash-Lite or Llama 4 Maverick?

Llama 4 Maverick significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is made by Google and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 2.5 Flash-Lite compare to Llama 4 Maverick in benchmarks?

Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

Is Gemini 2.5 Flash-Lite cheaper than Llama 4 Maverick?

Gemini 2.5 Flash-Lite is 1.7x cheaper for input tokens. Gemini 2.5 Flash-Lite costs $0.10/M input and $0.40/M output via google. Llama 4 Maverick costs $0.17/M input and $0.60/M output via deepinfra.

What are the context window sizes for Gemini 2.5 Flash-Lite and Llama 4 Maverick?

Gemini 2.5 Flash-Lite supports 1.0M tokens and Llama 4 Maverick supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.5 Flash-Lite and Llama 4 Maverick?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.10 vs $0.17/M), licensing (Creative Commons Attribution 4.0 License vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.5 Flash-Lite and Llama 4 Maverick?

Gemini 2.5 Flash-Lite is developed by Google and Llama 4 Maverick is developed by Meta.

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