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Gemini 2.0 Flash vs Llama 4 Maverick
Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash leads with 1.1% higher average benchmark score. Llama 4 Maverick offers 943.2K more tokens in context window than Gemini 2.0 Flash. Both models have similar pricing. 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 was developed as the next generation of Google's fast multimodal model, designed to provide improved performance while maintaining the speed and efficiency that defines the Flash family. Built with enhanced reasoning and generation capabilities, it serves applications requiring both quality and responsiveness.
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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.
4 months newer
Gemini 2.0 Flash
2024-12-01
Llama 4 Maverick
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 2.0 Flash
Input:$0.10
Output:$0.40($0.27 cheaper)
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Llama 4 Maverick
Input:$0.17
Output:$0.60
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 2.0 Flash
Average Score:66.8%(+1.1%)
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Llama 4 Maverick
Average Score:65.7%
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Knowledge Cutoff
Training data recency comparison
Gemini 2.0 Flash
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
1 providers
Throughput: 183 tok/s
Latency: 0.4ms
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Llama 4 Maverick
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Gemini 2.0 Flash
Avg Score:66.8%(+1.1%)
Providers:1
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Llama 4 Maverick
Avg Score:65.7%
Providers:7