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Gemini 2.0 Flash Thinking vs Llama 4 Scout

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.8 to 7.9.

Google · Meta · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking leads the overall LLM Stats Score 16.8 to 7.9, ranking #217 overall.

In the 2 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • overall performance matters — it scores 16.8 and ranks #217 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

Choose Llama 4 Scout

  • you want the most recent training data — it shipped Apr 2025
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 2.0 Flash Thinking
Google
Llama 4 Scout
Meta
Core performance indexes
LLM Stats Score
16.8
#217
7.9
#281
Reasoning
17.1
#210
6.7
#284
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.08 / M
Output price
— / M
$0.30 / M
Context window
—
10,000,000

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 12 for Llama 4 Scout

2 shared

Gemini 2.0 Flash Thinking outperforms in 2 benchmarks (GPQA, MMMU), while Llama 4 Scout is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Thu Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Llama 4 Scout support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Llama 4 Scout uses Llama 4 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 2 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.6 years ago

Llama 4 Scout

Apr 5, 2025

1.4 years ago

2mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Llama 4 Scout's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Llama 4 Scout

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Llama 4 Scout side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Llama 4 Scout
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Llama 4 Scout.

Which is better, Gemini 2.0 Flash Thinking or Llama 4 Scout?

Gemini 2.0 Flash Thinking leads the LLM Stats Score 16.8 to 7.9. Gemini 2.0 Flash Thinking is made by Google and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Llama 4 Scout in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Llama 4 Scout?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Llama 4 Scout?

Key differences include LLM Stats Score (16.8 vs 7.9), licensing (Proprietary vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Llama 4 Scout?

Gemini 2.0 Flash Thinking is developed by Google and Llama 4 Scout is developed by Meta.

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