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Gemini 2.0 Flash Thinking vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash Thinking leads with 3.2% higher average benchmark score. Llama 4 Maverick is available on 7 providers. Both models have their strengths depending on your specific coding needs.
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Gemini 2.0 Flash Thinking was developed to incorporate extended reasoning capabilities into the Flash family, designed to combine quick response times with deeper analytical processing. Built to handle tasks requiring both speed and thoughtful problem-solving, it bridges the gap between fast inference and reasoning-enhanced models.
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Meta
Llama 4 Maverick was developed as a variant in Meta's fourth-generation language model family, designed to explore specialized capabilities and training approaches. Built to push the boundaries of open-source model development, it represents experimentation with advanced techniques in the Llama lineage.
2 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Llama 4 Maverick
Meta
2025-04-05
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Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Gemini 2.0 Flash Thinking
Average Score:74.8%(+3.2%)
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Llama 4 Maverick
Average Score:71.6%
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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 Maverick
7 providers
DeepInfra
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Gemini 2.0 Flash Thinking
Avg Score:74.8%(+3.2%)
Providers:0
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Llama 4 Maverick
Avg Score:71.6%
Providers:7