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Gemini 2.0 Flash Thinking vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 45.0% higher average benchmark score. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
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Meta
Llama 4 Scout is a multimodal language model developed by Meta. It achieves strong performance with an average score of 67.3% across 12 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (90.6%), ChartQA (88.8%). With a 20.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Llama 4 Scout
Meta
2025-04-05
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:17.1%
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Llama 4 Scout
Average Score:62.1%(+45.0%)
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash Thinking
2024-08-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Gemini 2.0 Flash Thinking
0 providers
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Llama 4 Scout
6 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:17.1%
Providers:0
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Llama 4 Scout
Avg Score:62.1%(+45.0%)
Providers:6