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Gemini 1.0 Pro vs Llama 4 Scout
Comprehensive side-by-side LLM comparison
Llama 4 Scout leads with 20.1% higher average benchmark score. Llama 4 Scout offers 20.0M more tokens in context window than Gemini 1.0 Pro. Llama 4 Scout is $1.62 cheaper per million tokens. Llama 4 Scout supports multimodal inputs. Llama 4 Scout is available on 6 providers. Overall, Llama 4 Scout is the stronger choice for coding tasks.
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Gemini 1.0 Pro was developed as Google's initial production-ready multimodal model, designed to handle text and provide strong performance across diverse tasks. Built to serve as a versatile foundation for applications requiring reliable language understanding and generation, it introduced the Gemini architecture to developers and enterprises.
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Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
1 year newer
Gemini 1.0 Pro
2024-02-15
Llama 4 Scout
Meta
2025-04-05
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Pricing Comparison
Cost per million tokens (USD)
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Gemini 1.0 Pro
Input:$0.50
Output:$1.50
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Llama 4 Scout
Input:$0.08
Output:$0.30($1.62 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Gemini 1.0 Pro
Average Score:45.4%
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Llama 4 Scout
Average Score:65.4%(+20.1%)
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Knowledge Cutoff
Training data recency comparison
Gemini 1.0 Pro
2024-02-01
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 1.0 Pro
1 providers
Throughput: 120 tok/s
Latency: 0.4ms
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Llama 4 Scout
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Gemini 1.0 Pro
Avg Score:45.4%
Providers:1
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Llama 4 Scout
Avg Score:65.4%(+20.1%)
Providers:6